# Claravine > The Data Standards Company <sup>TM</sup> --- ## Pages - [Enterprise Data Management](https://www.claravine.com/enterprise-data-management/) - [Main Resource Page](https://www.claravine.com/main-resource-page/) - [Join Claravine for Gartner 2026](https://www.claravine.com/join-claravine-for-gartner-2026/) - [Join Claravine for Dinner- Credera](https://www.claravine.com/new-york-credera/) - [Join Claravine for Dinner- Indegene](https://www.claravine.com/join-claravine-for-dinner-indegene/) - [Ai eBook](https://www.claravine.com/ai-ready-data/) - [Join Claravine for Dinner](https://www.claravine.com/minneapolis/) - [Gartner Marketing Symposium](https://www.claravine.com/gartner-marketing-symposium/) - [Data Health Check](https://www.claravine.com/data-health-check/) - [Claravine + LinkedIn](https://www.claravine.com/linkedin/) - [How to Evaluate Enterprise Marketing Data Governance Platforms](https://www.claravine.com/buyers-guide-enterprise-marketing-data-governance-platforms/) - [Mobile Linking](https://www.claravine.com/mobile-linking/) - [The Guest Data Journey Guide](https://www.claravine.com/the-guest-data-journey-guide/) - [Adobe Summit: Clean Data Cafe](https://www.claravine.com/clean-data-cafe/) - [Adobe Summit 2026](https://www.claravine.com/adobe-summit-2026/) - [Marketing Data Center of Excellence](https://www.claravine.com/marketing-data-center-of-excellence/) - [Financial Page](https://www.claravine.com/financial/) - [Learn How To Create a Data Dictionary - Resource Page](https://www.claravine.com/resources/learn-how-to-create-a-data-sictionary/) - [AI](https://www.claravine.com/claravine-ai/) - [Data Governance and Taxonomy Workbook](https://www.claravine.com/data-governance-and-taxonomy-workbook/) - [What is a Data Dictionary? - Resource Page](https://www.claravine.com/resources/data-dictionary/) - [Calculator](https://www.claravine.com/roi-calculator/) - [Retail Page](https://www.claravine.com/retail/) - [Agency Page](https://www.claravine.com/agency/) - [Claravine + Transparent Partners- New](https://www.claravine.com/claravine-transparent-partners/) - [Automotive Page](https://www.claravine.com/automotive/) - [CPG Page](https://www.claravine.com/cpg/) - [Claravine + Prudential New](https://www.claravine.com/claravine-prudential/) - [Claravine + Kochava](https://www.claravine.com/claravine-kochava/) - [Technology Page](https://www.claravine.com/technology/) - [Data Standards Defined and Explained: Learn How to Create Data Standards](https://www.claravine.com/resources/what-are-data-standards/) - [Hospitality and Travel Page](https://www.claravine.com/hospitality-and-travel/) - [Become a partner](https://www.claravine.com/become-a-partner-2/) - [Healthcare & Pharma Page](https://www.claravine.com/healthcare-pharma/) - [Newsletter](https://www.claravine.com/newsletter/) - [Learn More Now](https://www.claravine.com/learn-more-now/) - [Careers & Culture](https://www.claravine.com/careers-culture/) - [Become a partner](https://www.claravine.com/become-a-partner/) - [Claravine Values](https://www.claravine.com/values/) - [Awards](https://www.claravine.com/awards/) - [Our Leadership Team](https://www.claravine.com/leadership-team/) - [Style Guide](https://www.claravine.com/style-guide/) - [Home](https://www.claravine.com/) - [Product](https://www.claravine.com/platform/) - [Data Standards](https://www.claravine.com/data-standards/) - [Campaign Tracking and Measurement Solutions](https://www.claravine.com/campaign-tracking/) - [Digital Asset and Creative Management](https://www.claravine.com/content-data/) - [Advertising Data Analytics](https://www.claravine.com/advertising-data/) - [Quick Start Guide: Data Standards 101 for Marketing Teams](https://www.claravine.com/data-standards-quickstart/) - [August 2025 Release](https://www.claravine.com/aug-2025-release/) - [Event: Disney Data & Analytics Conference 2025](https://www.claravine.com/ddac-2025/) - [Snowflake Data Sharing](https://www.claravine.com/data-sharing/) - [[Ebook] Marketing Resilience, Powered Through Data](https://www.claravine.com/ebook-marketing-resilience-powered-through-data/) - [Integration: Salesforce Marketing Cloud Engagement](https://www.claravine.com/integration-salesforce-marketing-cloud-engagement/) - [Claravine + Snowflake Data Sharing](https://www.claravine.com/connect-claravine-snowflake/) - [Claravine + Snowflake Capabilities](https://www.claravine.com/claravine-snowflake-capabilities/) - [Claravine Campaign Tracking Demo](https://www.claravine.com/claravine-campaign-tracking-demo/) - [Integration: Platform APIs](https://www.claravine.com/integration-platform-api/) - [Ultimate Guide To Data Standards](https://www.claravine.com/ultimate-guide-to-data-standards/) - [Case Study: Colgate-Palmolive's Path to Global Data Consistency](https://www.claravine.com/colgate-palmolive-case-study/) - [QD + Claravine Partner Page](https://www.claravine.com/qd-claravine-partner-page/) - [Thank You for Booking](https://www.claravine.com/thank-you-pages/thank-you-booked/) - [Claravine Platform - Demo](https://www.claravine.com/claravine-demo/) - [Why Claravine](https://www.claravine.com/why-claravine-3/) - [Unlock the Power of Content Taxonomy](https://www.claravine.com/power-of-content-taxonomy/) - [Event: Adobe Summit 2025](https://www.claravine.com/event-adobe-summit-2025/) - [Claravine + Qualified Digital](https://www.claravine.com/claravine-qualifieddigital/) - [Claravine Platform (BOFU Landing Page) V2](https://www.claravine.com/claravine-platform-landing-page-v2/) - [Video: Advertising Week Panel 2024](https://www.claravine.com/video-advertising-week-2024/) - [Video: Align Your Data & Align Your Results](https://www.claravine.com/video-align-your-data-align-your-results/) - [Claravine + Indegene](https://www.claravine.com/claravine-indegene/) - [Integration: Google Campaign Manager 360](https://www.claravine.com/integration-google-campaign-manager-360/) - [Data Standards Defined and Explained: Learn How to Create Data Standards](https://www.claravine.com/resources/data-standards-defined-and-explained-learn-how-to-create-data-standards/) - [Integration: Pinterest Ads Manager](https://www.claravine.com/integration-pinterest-ads/) - [An Agency Guide to Data Standards](https://www.claravine.com/an-agency-guide-to-data-standards/) - [Our Customers](https://www.claravine.com/our-customers/) - [The State of Marketing Data Standards](https://www.claravine.com/the-state-of-marketing-data-standards-in-2024/) - [The State of Marketing Data Standards in 2024](https://www.claravine.com/state-of-data-standards-24-advertisingweek/) - [Wyndham Hotels & Resorts Case Study](https://www.claravine.com/wyndham-customer-story/) - [Claravine AI Content Comprehension - AI Demo Day](https://www.claravine.com/claravine-ai-content-comprehension-ai-demo-day/) - [Event: Advertising Week New York 2024](https://www.claravine.com/event-advertising-week-new-york-2024/) - [Claravine + Simon Data](https://www.claravine.com/claravine-simonai/) - [Top Ranked Credit Union Customer Success](https://www.claravine.com/top-ranked-credit-union-customer-success/) - [Claravine Media Supply Chain LP](https://www.claravine.com/claravine-media-supply-chain/) - [Integration: Google Display & Video 360](https://www.claravine.com/integration-google-display-video-360/) - [Why Data Standards are the Key to your Data Success](https://www.claravine.com/why-data-standards-are-the-key-to-your-data-success/) - [Health Insurance Plan Provider Case Study](https://www.claravine.com/health-insurance-case-study/) - [Integration: Adobe Experience Manager](https://www.claravine.com/integration-aem/) - [Integration: Snapchat Ads Manager](https://www.claravine.com/integration-snapchat-ads-manager/) - [The Data Standards Club](https://www.claravine.com/the-data-standards-club/) - [Integration: Google Campaign Manager 360](https://www.claravine.com/integration-gcm-360/) - [Integration: Meta Ads Manager](https://www.claravine.com/integration-meta-ads-manager/) - [Integration: TikTok Ads Manager](https://www.claravine.com/integrations-tiktok-ads-manager/) - [Slalom + Home Mortgage Provider Case Study](https://www.claravine.com/slalom-partner-success-story/) - [Claravine + Snowflake](https://www.claravine.com/partner-snowflake/) - [Event: Snowflake Data Cloud Summit 2024](https://www.claravine.com/snowflake-summit-2024/) - [Webinar](https://www.claravine.com/snowflake-webinar/) - [Quick Vine: Content Supply Chain](https://www.claravine.com/quick-vine-content-supply-chain/) - [Quick Vine: Split & Extract](https://www.claravine.com/quick-vine-split-extract/) - [Quick Vine: Datasets Feature](https://www.claravine.com/quick-vine-datasets-feature/) - [Quick Vine: CM360 & Meta Roundtrip](https://www.claravine.com/cm360-meta/) --- ## Posts - [Say Goodbye to Data Silos: How Data Relationships Bring Your Templates Together](https://www.claravine.com/how-data-relationships-bring-your-templates-together/) - [How to Build a Marketing Taxonomy That Actually Scales](https://www.claravine.com/how-to-build-a-marketing-taxonomy-that-actually-scales/) - [How Retail Brands Are Reclaiming ROI with Data Standards](https://www.claravine.com/how-retail-brands-are-reclaiming-roi-with-data-standards/) - [The Claravine Chrome Extension that Enforces Data Standards from the Start](https://www.claravine.com/the-claravine-chrome-extension-that-enforces-data-standards-from-the-start/) - [The Hidden Cost of an Inconsistent Naming Convention](https://www.claravine.com/the-hidden-cost-of-an-inconsistent-naming-convention/) - [Why Your Marketing Attribution Data Is Wrong (And It's Not the Tool's Fault)](https://www.claravine.com/why-your-marketing-attribution-data-is-wrong/) - [Claravine vs Improvado: Why Enterprise Brands Choose Governance at the Source](https://www.claravine.com/claravine-vs-improvado/) - [The GenAI Tax: What Happens When Dirty Data Meets Your AI Investment](https://www.claravine.com/the-genai-tax-what-happens-when-dirty-data-meets-your-ai-investment/) - [How Claravine Compares to Customer Data Platforms (CDPs)](https://www.claravine.com/claravine-vs-a-cdp/) - [How to Build a Marketing Taxonomy (And Why It is Like Building A House)](https://www.claravine.com/how-to-build-a-marketing-taxonomy/) - [What Your Data Is Actually Missing Before It Hits Your Stack](https://www.claravine.com/what-your-data-is-actually-missing-before-it-hits-your-stack/) - [What Is Data Discovery — and Why Does It Matter?](https://www.claravine.com/what-is-data-discovery-and-why-does-it-matter/) - [Why Your Marketing Data Has an Integrity Problem (And What to Do About It)](https://www.claravine.com/why-your-marketing-data-has-an-integrity-problem/) - [Programmatic Advertising 101: What is it?](https://www.claravine.com/programmatic-advertising-101/) - [Why an AI-Ready Marketing Data Foundation is Your 2026 Competitive Edge](https://www.claravine.com/why-an-ai-ready-marketing-data-foundation-is-your-2026-competitive-edge/) - [Q4 Product Release: More Control, Better Visibility, Smarter Integrations](https://www.claravine.com/claravine-q4-product-release-more-control-better-visibility-smarter-integrations/) - [Data Governance Standards for Marketers: From Messy Data to AI Readiness](https://www.claravine.com/data-governance-standards-for-marketers-from-messy-data-to-ai-readiness/) - [AEM Metadata Governance: How Claravine Enhances Adobe Experience Manager](https://www.claravine.com/aem-metadata-governance/) - [A Query on Using Query Strings/Parameters](https://www.claravine.com/a-query-on-using-query-strings-parameters/) - [New Video : Close the Loop on Creative Performance with Content ID](https://www.claravine.com/close-the-loop-on-creative-performance-with-content-id/) - [Where Data Standards Meet AI Strategy: Claravine + Transparent Partners](https://www.claravine.com/transparentpartners-announcement/) - [Driving Connected Campaigns for Mobile Marketing: Claravine + Kochava](https://www.claravine.com/kochava-integration-announcement/) - [Taking the Pain Out of Campaign Management](https://www.claravine.com/taking-the-pain-out-of-campaign-management/) - [The Benefits of Data Integrity: 3 Practical Examples](https://www.claravine.com/the-benefits-of-data-integrity-3-practical-examples/) - [Adobe Workfront vs Claravine: Complementary - Not Competitive](https://www.claravine.com/adobe-workfront-vs-claravine-complementary-not-competitive/) - [Why Consistent Metadata Is Your Secret Weapon for AI Ready Marketing](https://www.claravine.com/why-consistent-metadata-is-your-secret-weapon-for-ai-ready-marketing/) - [4 new ways to speed, deepen, and extend marketing metadata value](https://www.claravine.com/4-new-ways-to-speed-deepen-and-extend-marketing-metadata-value/) - [August Release Roundup: Build at Scale. Correct in Seconds. Launch with Confidence.](https://www.claravine.com/august-25-release-roundup/) - [Data Standards: The Key to Driving Increased Revenue for Retail Media Networks](https://www.claravine.com/the-key-to-driving-increased-revenue-for-retail-media-networks/) - [Taking the Drama Out of Creative Chaos: Claravine’s Patent for Content Similarity & Content ID](https://www.claravine.com/patent-for-content-similarity/) - [Claravine Announces Indegene as the Inaugural MVP Awardee](https://www.claravine.com/indegene-awarded-mvp-partner/) - [Connecting the Journey: Aligning Data Across Salesforce Marketing Cloud Engagement](https://www.claravine.com/aligning_data_sales_force_marketing_cloud_engagement/) - [Why Data Standards Are Essential for Retail Media Networks](https://www.claravine.com/retail-media-networks/) - [Claravine Strengthens Commitment to Data Integrity by Achieving SOC 2 Type II Compliance](https://www.claravine.com/claravine-strengthens-commitment-to-data-integrity-by-achieving-soc-2-type-ii-compliance/) - [New Claravine Features to Eliminate Silos & Spark Innovation](https://www.claravine.com/new-features-to-eliminate-silos-spark-innovation/) - [Colgate-Palmolive Achieves Near 100% Taxonomy Compliance and Data Harmony with Claravine's Data Standards Cloud](https://www.claravine.com/colgate-palmolive-global-data-success/) - [50% of Assets Created by Brands Are Never Activated](https://www.claravine.com/claravine-reducing-asset-waste/) - [Claravine Takes a Stand for Sustainability with Greenhouse Gas Emissions Inventory Report](https://www.claravine.com/sustainablity-greenhouse-gas/) - [Claravine Launches Industry-First Data Standards Metric and New Solutions to Optimize Data Quality](https://www.claravine.com/industry-first-metric-launch/) - [Claravine Ranked Number 479 Fastest-Growing Company in North America on the 2024 Deloitte Technology Fast 500™](https://www.claravine.com/2024-deloitte-technology-fast-500/) - [Claravine and Slalom Partner to Address Marketing Taxonomy & Metadata Challenges](https://www.claravine.com/claravine_and_slalom_partner/) - [8 Game-Changing Lessons from Advertising Week 2024](https://www.claravine.com/8-game-changing-lessons-from-advertising-week-2024/) - [5 Hidden Benefits of Data Standards in Regulated Marketing](https://www.claravine.com/5-hidden-benefits-of-data-standards-in-regulated-marketing/) - [Advertiser Perceptions Research Shows US Advertisers See an Average 33% Increase in ROI with Data Standards](https://www.claravine.com/claravine-advertiser-perceptions-research/) - [Claravine Enhances Content & Creative Management with New AI Capabilities](https://www.claravine.com/claravine-enhances-content-creative-management/) - [Capabilities for Detailed, Connected Asset Metadata](https://www.claravine.com/capabilities-for-detailed-connected-asset-metadata/) - [From Overload to Order: Thriving with Content & Creative Metadata](https://www.claravine.com/from-overload-to-order/) - [Expert Tips on Database Naming Conventions](https://www.claravine.com/database-naming-conventions/) - [Is Your Enterprise Marketing Metadata Management on Track?](https://www.claravine.com/enterprise-marketing-metadata-management/) - [What Is Data Quality Management: The Missing Link in Your Marketing](https://www.claravine.com/what-is-data-quality-management/) - [What Is Digital Asset Management and Why You Need It Now](https://www.claravine.com/what-is-digital-asset-management/) - [6 Pillars of Data Quality (+ Examples) for Better Business Growth](https://www.claravine.com/pillars-data-quality/) - [Claravine Makes the Inc. 5000 for Fifth Consecutive Year](https://www.claravine.com/claravine-makes-the-inc-5000-for-fifth-consecutive-year/) - [Why Marketing Metadata Standardization Tools Are a Must-Have for Your Business](https://www.claravine.com/marketing-data-standardization-tools/) - [Data Validation: Meaning, Types, and Benefits](https://www.claravine.com/data-validation-meaning/) - [The Claravine Approach to Data Design](https://www.claravine.com/the-claravine-approach-to-data-design/) - [Unlocking the Value of Standardized Data in the Snowflake Data Cloud](https://www.claravine.com/unlocking-the-value-snowflake-data-cloud/) - [Overcoming the Challenges of Scaling Generative AI in the Enterprise](https://www.claravine.com/overcoming-the-challenges-of-scaling-generative-ai-in-the-enterprise/) - [Crafting a Taxonomy Structure: A Marketer's Guide to Naming Conventions](https://www.claravine.com/crafting-a-taxonomy-structure-a-marketers-guide-to-naming-conventions/) - [Naming Conventions Aren't Enough. It's Time for Content IDs](https://www.claravine.com/naming-conventions-arent-enough-content-ids/) - [What Is Content Supply Chain (and How to Enhance It)](https://www.claravine.com/how-to-enhance-the-content-supply-chain-with-better-data/) - [Driving Drama-Free Data: A 2023 Review](https://www.claravine.com/driving-drama-free-data-a-2023-review/) - [8 Expert Tips on Implementing Data Standards](https://www.claravine.com/expert-tips-on-data-standards/) - [Claravine’s Capabilities for Google Campaign Manager 360](https://www.claravine.com/google-campaign-manager-360-capabilities/) - [Claravine Achieves the new AWS Advertising and Marketing Technology Competency](https://www.claravine.com/aws-advertising-and-marketing-technology-competency-listing/) - [The Datasets Feature: A single view to browse, filter, sort, create, and edit](https://www.claravine.com/the-datasets-feature/) - [Claravine AI Revolutionizes Marketing Metadata Management](https://www.claravine.com/claravine-ai-revolutionizes-marketing-metadata-management/) - [Split & Extract: Your Swiss Army Knife of Data Standards](https://www.claravine.com/split-extract-for-data-standards/) - [How AI Can Help with Marketing Data Standards and Taxonomy](https://www.claravine.com/how-ai-can-help-with-marketing-data-standards/) - [Claravine’s Capabilities for Meta Ads Manager: Overcoming the Naming Convention Challenge](https://www.claravine.com/capabilities-for-meta-ads-manager/) - [Claravine Makes the Inc. 5000 for Fourth Consecutive Year](https://www.claravine.com/inc-5000-2023/) - [Data Standards and Your Bottom Line](https://www.claravine.com/data-standards-and-your-bottom-line/) - [Apple's New Privacy Features Removes Tracking Parameters. What's the Impact?](https://www.claravine.com/apple-removes-tracking-parameters-impact/) - [Claravine and IntelligenceBank Partner to Streamline Digital Asset Management and Marketing Data](https://www.claravine.com/intelligencebank-partner-announcement/) - [Claravine Acquires AI-Powered Content Classification Company Netra](https://www.claravine.com/netra-acquisition/) - [Claravine Joins the AWS Marketplace](https://www.claravine.com/claravine-joins-aws-marketplace/) - [Claravine Launches Claravine Academy](https://www.claravine.com/claravine-academy-launch/) - [Claravine Named a 2023 AdExchanger Programmatic Power Player](https://www.claravine.com/2023-adexchanger-programmatic-power-player/) - [Claravine Named As Category Leader in Data Management Software by GetApp](https://www.claravine.com/claravine-named-as-category-leader-in-data-management-software-by-getapp/) - [A Guide to the Semantic Layer — A Must-Have for Data-Driven Companies](https://www.claravine.com/a-guide-to-the-semantic-layer-a-must-have-for-data-driven-companies/) - [The key to fast, valuable insights? Your own data keys.](https://www.claravine.com/the-key-to-fast-valuable-insights-your-own-data-keys/) - [Claravine Appoints Justin Shepard as its First Chief Financial Officer](https://www.claravine.com/claravine-appoints-justin-shepard-as-its-first-chief-financial-officer/) - [Claravine Recognized As A Cool Vendor in 2022 Gartner® Cool Vendors™ in Marketing Data and Analytics report](https://www.claravine.com/claravine-cool-vendor-gartner/) - [3 ways GA4 turns to gold by using data standards](https://www.claravine.com/3-ways-ga4-turns-to-gold-by-using-data-standards/) - [Once We Get Over the Complexity, this is the Next Challenge with Data Clean Rooms](https://www.claravine.com/once-we-get-over-the-complexity-this-is-the-next-challenge-with-data-clean-rooms/) - [Claravine Named Winner of 2022 AdExchanger Award for Best Data Technology](https://www.claravine.com/claravine-named-winner-of-2022-adexchanger-award-for-best-data-technology/) - [The curious (and not so secret) case of paid media spend spillage](https://www.claravine.com/the-curious-case-of-paid-media-spend-spillage/) - [Claravine Expands Digital Ad Integration Library With Top Platforms](https://www.claravine.com/claravine-expands-digital-ad-integration-library-with-top-platforms/) - [Measuring the adoption of Claravine using Adobe Analytics](https://www.claravine.com/measuring-the-adoption-of-claravine-using-adobe-analytics/) - [Social Media Ad Platform Data Strategy](https://www.claravine.com/social-media-ad-platform-data-strategy/) - [Claravine Appears on the Inc. 5000 For Third Consecutive Year, With Revenue Growth of 265 Percent](https://www.claravine.com/claravine-appears-on-the-inc-5000-for-third-consecutive-year-with-revenue-growth-of-265-percent/) - [Streamline Google Ads Campaigns, Ad Groups and Ads data management](https://www.claravine.com/streamline-google-ads-campaigns-ad-groups-and-ads-data-management/) - [Agency Friends: Why do we start?](https://www.claravine.com/agencies-why-do-we-start/) - [Claravine Named a 2022 AdExchanger Programmatic Power Player](https://www.claravine.com/claravine-named-a-2022-adexchanger-programmatic-power-player/) - [Accelerating Time to Value with Adobe Experience Manager](https://www.claravine.com/automating-content-production-for-agility-velocity/) - [When do you need data standards?](https://www.claravine.com/when-do-you-need-data-standards/) - [How Data Standardization Leads to Better Marketing Insights & Decisions](https://www.claravine.com/how-data-standardization-leads-to-better-marketing-insights-decisions/) - [Data Integrity Company Claravine Secures $16 Million in Series B Funding](https://www.claravine.com/data-integrity-company-claravine-secures-16-million-in-series-b-funding/) - [Ditch Clunky Stacked Data: Get Exec-Ready Reports in Adobe’s Analysis Workspace by Standardizing Your Data](https://www.claravine.com/multiple-dimension-report-adobe-analytics/) - [Garbage In, Garbage Out? Or something more fundamental?](https://www.claravine.com/gigo-alternatives/) - [Reduce the Carbon Footprint of Your Digital Marketing with Data Standards](https://www.claravine.com/reduce-the-carbon-footprint-of-your-digital-marketing-with-data-standards/) --- ## Case Studies - [Fortune 500 CPG Brand Sees Data Sharing Success with Snowflake](https://www.claravine.com/case-study/data-sharing-success-with-snowflake/) - [Colgate-Palmolive's Path to Global Data Consistency](https://www.claravine.com/case-study/colgate-palmolives-path-to-global-data-consistency/) - [Wyndham Hotels & Resorts Case Study](https://www.claravine.com/case-study/wyndham-hotels-resorts-case-study/) - [Top Ranked Credit Union Customer Success](https://www.claravine.com/case-study/top-ranked-credit-union/) - [Trusted Healthcare Insurance Company](https://www.claravine.com/case-study/healthcare-insurance-company/) - [Slalom + Home Mortgage Provider](https://www.claravine.com/case-study/slalom-home-mortgage-provider-case-study/) - [Carhartt Case Study](https://www.claravine.com/case-study/carhartt-customer-success-story/) - [Bristol Myers Squibb Case Study](https://www.claravine.com/case-study/bristol-myers-squibb-customer-success-story/) - [Fortune 500 Travel & Hospitality Company](https://www.claravine.com/case-study/travel-and-hospitality-case-study/) - [Media & Communications Company](https://www.claravine.com/case-study/media-communications-case-study/) - [Multinational Healthcare Company](https://www.claravine.com/case-study/healthcare-company/) - [Vanguard Case Study](https://www.claravine.com/case-study/vanguard-case-study/) - [Fortune 50 Technology Company](https://www.claravine.com/case-study/fortune-50-technology-company-claravine-case-study/) - [Fortune 100 Retail Company](https://www.claravine.com/case-study/fortune-100-retail-company-claravine-case-study/) - [Saatchi & Saatchi Case Study](https://www.claravine.com/case-study/saatchi-saatchi/) - [Under Armour Case Study](https://www.claravine.com/case-study/claravine-under-armour-customer-story/) - [Holland America Case Study](https://www.claravine.com/case-study/holland-america/) --- ## Integrations - [LinkedIn](https://www.claravine.com/integration/linkedin/) - [The Trade Desk](https://www.claravine.com/integration/the-trade-desk/) - [Kochava](https://www.claravine.com/integration/30345/) - [Salesforce Marketing Cloud Engagement](https://www.claravine.com/integration/salesforce-marketing-cloud-engagement/) - [Google Display & Video 360](https://www.claravine.com/integration/google-display-video-360/) - [Snowflake Data Cloud](https://www.claravine.com/integration/snowflake-data-cloud/) - [TikTok Ads Manager](https://www.claravine.com/integration/tiktok-ads-manager/) - [Amazon Ads](https://www.claravine.com/integration/amazon-ads/) - [Pinterest Ads](https://www.claravine.com/integration/pinterest-ads-beta/) - [Snapchat Ads Manager](https://www.claravine.com/integration/snapchat-ads-beta/) - [Google Cloud Storage](https://www.claravine.com/integration/google-cloud-storage/) - [SFTP](https://www.claravine.com/integration/sftp/) - [QR Code Monkey](https://www.claravine.com/integration/qr-code-monkey/) - [Microsoft Azure Blob Storage](https://www.claravine.com/integration/microsoft-azure-blob-storage/) - [Google Campaign Manager 360](https://www.claravine.com/integration/google-campaign-manager-360/) - [Google Ads](https://www.claravine.com/integration/google-ads/) - [CSV, XSLX File](https://www.claravine.com/integration/csv-xslx-file/) - [Meta (Facebook) Ads Manager](https://www.claravine.com/integration/meta-facebook-ads/) - [Email](https://www.claravine.com/integration/email/) - [Claravine API](https://www.claravine.com/integration/claravine-api/) - [Branch](https://www.claravine.com/integration/branch/) - [Box](https://www.claravine.com/integration/box/) - [Bitly](https://www.claravine.com/integration/bitly/) - [AppsFlyer](https://www.claravine.com/integration/appsflyer/) - [Amazon S3](https://www.claravine.com/integration/amazon-s3/) - [Adobe Workfront](https://www.claravine.com/integration/adobe-workfront/) - [Adobe Analytics](https://www.claravine.com/integration/adobe-analytics/) - [Adobe Experience Manager](https://www.claravine.com/integration/adobe-experience-manager/) --- ## Partners - [Omnicom](https://www.claravine.com/partner/omnicom/) - [Kochava](https://www.claravine.com/partner/kochava/) - [Transparent Partners](https://www.claravine.com/partner/transparent-partners/) - [Simon Data](https://www.claravine.com/partner/simon-data/) - [Slalom](https://www.claravine.com/partner/slalom/) - [Publicis Sapient](https://www.claravine.com/partner/publicis-sapient/) - [Publicis Groupe](https://www.claravine.com/partner/publicis-groupe/) - [IBM](https://www.claravine.com/partner/ibm/) - [Havas](https://www.claravine.com/partner/havas/) - [Amazon Web Services](https://www.claravine.com/partner/aws/) - [Mindshare Canada](https://www.claravine.com/partner/mindshare/) - [Further](https://www.claravine.com/partner/further/) - [Qualified Digital](https://www.claravine.com/partner/qualified-digital/) - [Adobe](https://www.claravine.com/partner/adobe/) - [Merkle Cardinal Path](https://www.claravine.com/partner/merkle-cardinal-path/) - [GroupM North America](https://www.claravine.com/partner/groupm/) - [Concord](https://www.claravine.com/partner/concord/) - [Ensemble](https://www.claravine.com/partner/ensemble/) - [Dentsu](https://www.claravine.com/partner/dentsu/) - [Choreograph](https://www.claravine.com/partner/choreograph/) - [Blast Analytics](https://www.claravine.com/partner/blast-analytics/) - [Acceleration](https://www.claravine.com/partner/acceleration/) - [VML](https://www.claravine.com/partner/vml/) - [Merkle](https://www.claravine.com/partner/merkle/) - [Indegene](https://www.claravine.com/partner/indegene/) - [Aprimo](https://www.claravine.com/partner/aprimo/) --- # # Detailed Content ## Pages ENTERPRISE DATA MANAGEMENT Your taxonomy grew. Your governance needs to keep up. You have more teams, more brands, more agencies, and more campaigns. Enterprise Data Management keeps standards in place as volume increases — without adding work for the admins holding it together. Talk To Your Account Team See If You're Ready WHAT'S INCLUDED Same Claravine you trust. Built for what governance looks like next. Three capability areas that work together: visibility, governance, and integration. Visibility & planning+ A complete view of your taxonomy, in one place. Monitor every template, list, and rule from a single Taxonomy Explorer. Test structural changes in a sandbox before they touch live data. Export your full data dictionary when audits or stakeholder reviews require it. Collaboration & governance+ Distribute the work. Keep the oversight. A new manager user type lets admins delegate day-to-day governance. Suggested list values flow through a tracked approval process. Read-only access lets partners and senior stakeholders see structures without the risk of edits. Time to value+ Built to automate and plug into your stack. AI-powered taxonomy translation migrates legacy structures through a guided checklist. Smart Campaign Builder ingests media plans at volume. APIs, webhooks, and the new MCP connector keep Claravine in sync with the systems and AI agents you already run. Enterprise Data Management is the package that maintains standards as volume grows — without putting more on the admins keeping it all together. View the Knowledge Base Article Watch the Demo Videos You're probably ready if... Here are some readiness... --- Main Resource Page - Claravine Skip to content Platform PlatformExplore how our platform unifies your data, processes, and teams. StandardsMaintain organization wide standards through one centralized platform. IntegrationsAlign workflows through existing channels and tech stack. Enterprise Data ManagementFor enterprise teams that need more control, visibility, and automation across their Claravine instance. PricingPackages that fit with your usage requirements Trusted by marketing leaders at global brandsLeading brands and agencies choose Claravine to achieve consistency and performance at scale. Customer Stories Don’t just scale, propel forward Claravine helps turn marketing data complexity into strategic advantage—experience the precision that drives real results. Why Claravine? Solutions Orchestration and ActivationAutomated campaign compliance and data consistency management. Tracking and MeasurementAccurate campaign tracking for trusted marketing insights. Asset and Creative ManagementStandardize asset tracking from creative development to performance. Claravine AIBuild an AI-ready foundation by automating data standardization and governing metadata at scale. Is Your Marketing Data AI-Ready?Most enterprise marketing data isn't built for AI. Get the blueprint to fix that before your next AI investment stalls. Get AI-Ready Data Let’s build better customer experiences, breakthrough results, and the most effective marketing yet—together! Partner With Us Industries AgenciesMaintain client data standards and campaign consistency across accounts. AutomotiveStandardize campaign data across dealer networks and markets. Consumer Packaged GoodsUnify product and retailer data across portfolio campaigns. FinanceEnforce compliant data governance across regulated programs. Healthcare & PharmaceuticalsGovern compliant data standards across regulated programs. Hospitality & TravelStandardize guest and property data for coordinated experiences. RetailAlign promotional and merchandising data across channels. TechnologyGovern... --- Meet Claravine at Gartner Marketing Symposium/Xpo™ Booth 333 · Gaylord Rockies, Denver June 8–10, 2026 AI is only as good as the data it sees. Most marketing teams are still feeding their AI tools inconsistent inputs from disconnected systems. We're at Gartner Marketing Symposium/Xpo to show CMOs and marketing leaders how to fix that at the source. Book a 1:1 meeting at booth 333 and walk away with a clear read on where your data standards stand today and what it would take to make your stack AI-ready. What you'll see at the booth A live walkthrough of the Claravine Data Standards Cloud. Our solution experts will show you how enterprise marketing teams apply standardized taxonomies, naming conventions, and metadata at the point of campaign creation — before the data ever reaches reporting, attribution, or AI tools. Bring your real-world questions about taxonomy governance, metadata enforcement, or platform integrations. We'll dig in. Why data standards are the foundation for AI readiness Every AI investment runs on the data underneath it. When campaign data is inconsistent across teams, channels, and tools, AI models inherit the same problems that have long affected reporting and attribution. Standardizing at the source changes that. It's how enterprise brands turn AI initiatives into measurable outcomes across media activation, attribution, and creative analytics — and it's the conversation we're having with marketing leaders all week in Denver. Prebook a Demo at the Booth → --- Good food. Better conversation. The marketing problem nobody wants to talk about... until now. Taxonomy is the foundation every marketing team depends on, yet it never made it onto anyone's job description. It lives in the gap between teams, gets patched together campaign by campaign, and quietly undermines every reporting, attribution, and AI initiative built on top of it. Claravine and Credera are hosting this dinner for the marketing leaders who already know this — and are trying to do something about it. There will be no presentation or pitches; just a small group, a good meal, and an honest conversation with people working through the same problems you are. Tuesday, June 2, 2026CUT by Wolfgang Puck (in the Four Seasons Hotel)6pm - 9pm Seats are limited to 20 guests. If you'd like to join us, we'd love to have you at the table. A Few Notes We want to be upfront: this dinner is co-hosted by Claravine and Credera, and yes, we both work in this space. But the night isn't about either of us. There's no deck waiting on a screen, no product walkthrough between courses, no follow-up sequence dressed up as a dinner invite. We're picking up the check because we think the conversation is worth having, and because the people asking these questions rarely get to ask them out loud, together, in the same room. Come hungry. Leave with a few new contacts in your phone and maybe a clearer head about marketing data taxonomy than... --- What's actually keeping you up at night? Let's talk about it over dinner. Data standards are the foundation every marketing team depends on and the layer that holds everything together. Somehow, they never made it onto anyone's official job description. They live in the gap between teams, get patched together campaign by campaign, and quietly undermine every reporting, attribution, and AI initiative built on top of them. This dinner is intentionally designed to foster candid conversation, peer learning, and meaningful connection, without presentations or sales pitches. Just dinner and an honest exchange with people who are asking the same questions you are. Thursday, June 25, 2026Roots Ocean Prime, Princeton, New Jersey6pm - 9pm Seats are limited. If you'd like to join us, we'd love to have you at the table. A Few Notes We want to be upfront: this dinner is co-hosted by Claravine and Indegene, and yes, we both work in this space. But the night isn't about either of us. There's no deck waiting on a screen, no product walkthrough between courses, no follow-up sequence dressed up as a dinner invite. We're picking up the check because we think the conversation is worth having, and because the people asking these questions rarely get to ask them out loud, together, in the same room. Come hungry. Leave with a few new contacts in your phone and maybe a clearer head about marketing data taxonomy than you walked in with. About Roots Ocean Prime Princeton's take on the classic American... --- How to build the data foundation AI actually needs Your CEO keeps asking what you're doing with AI. Meanwhile, 95% of generative AI pilots fail to deliver measurable business impact — not because the models are bad, but because the marketing data foundation feeding them isn't AI-ready. AI doesn't fix messy marketing data. It accelerates the mess. This eBook is the blueprint enterprise teams are using to build AI-ready data before pouring more budget into tools that won't perform without it. Schedule a Demo Instant Download What's inside? Who is it for? CMOs, CDOs, marketing operations leaders, and analytics teams who are responsible for making AI work on top of enterprise marketing data. Download the AI-Ready Data Blueprint and stop accelerating the mess. Download Now Ready to stop
fighting for data compliance? Schedule a call to learn why enterprise brands choose Claravine to produce quality metadata and taxonomy. --- The best industry conversations happen off the record. We're creating space for one. AI is changing how marketing gets planned, executed, and measured. But the promise only lands if the data underneath it is clean, consistent, and connected. For most teams, it isn't — and the gap between what AI could do and what it actually delivers keeps widening. This dinner is a conversation about that gap. A candid gathering of senior marketing, media, and data leaders who are living this in real time. No presentations, no pitches. Just dinner and an honest exchange with people who are asking the same questions you are. Tuesday, May 12, 2026Spoon and Stable6 pm - 9 pm Seats are limited. If you'd like to join us, we'd love to have you at the table. Marketing data has a standards problem. Most teams have learned to live with it. Campaigns go live with inconsistent naming. Taxonomies drift across channels and regions. By the time data hits a dashboard, analysts are cleaning instead of finding insights, and the AI tools meant to accelerate decisions are working off a foundation that was never built to support them. Claravine is The Data Standards Company. The platform standardizes marketing data at the source — taxonomy, metadata, naming conventions — before it ever enters your stack. That means reporting you can trust, attribution that actually holds up, and the clean inputs that make AI work the way it's supposed to. A quarter of the Fortune 100 use Claravine to... --- Connect with Claravine at Gartner Marketing Symposium AI needs context. Your data is either providing it — or sabotaging it. Every model you feed, every prompt you write, every AI-powered decision you make inherits the quality of the data underneath it. If your taxonomy is inconsistent, if your metadata is a patchwork of regional naming conventions and campaign-by-campaign workarounds, your AI outputs will reflect exactly that. At Gartner Marketing Symposium, Claravine is having one conversation: what it actually takes to build a data strategy that holds up when AI enters the room. We work with a quarter of the Fortune 100 to standardize marketing data at the source — before it hits the reporting layer, before it hits the model, before it costs you a decision you cannot walk back. Stop by and talk to us about what clean context looks like at scale. Learn From Our Customers AI runs on context. Your data standards determine how good that context is. When campaigns are tagged consistently and content is classified the same way across every team, reporting stops being a negotiation. Claravine customers build that shared language once, across their stack ecosystem, and everything downstream gets easier. The manual reconciliation, the spreadsheet hand-offs, the "which version is right" conversations: those go away. What replaces them are workflows where creative, media, and analytics are working from the same data from day one, and where AI finally has the context it needs to do something useful. Learn from our Customers Let's connect... --- Your data is probably messier than you think. That's fine. Most marketing teams know something is off. They just can't say where, or how bad it is. The Data Health Check gives you a clear read on your data's consistency — without touching live campaigns, connecting to your systems, or taking more than a few hours of your time. Download the Guide What Would We Need? Are you ready to get started? What to expect Three hours, total. That's it. One data export (CSV) One short conversation about how your data should look No more than 3 hours of your time (for real. ) Who this is for You don't need to have it figured out. Do any of these things sound familiar? You suspect inconsistencies exist, but can't measure them Reporting feels harder than it should You've inherited systems or processes from a previous team You want clarity before committing budget to a solution. What you walk away with You'll have a clear picture, not more questions. Afterwards, you'll know: How consistent your data actually is, in measurable terms Where your standards are breaking down — and where they're holding The real cost of those breakdowns in your reporting A practical starting point — and whether you should take the next steps or not Quick start your Data Health Check Answer a few quick questions to see if your team is ready. Let's Get Started This is what it's not. This is not an audit to prepare for. It's not a... --- Campaign metadata governance for LinkedIn at scale. Bring structure and standards to your LinkedIn campaigns so the data flowing into your analytics is clean, consistent, and actually trustworthy. Get Connected How the integration works Structured by default. Governed from the start. Connect LinkedIn Campaign Manager to the Claravine platform and apply your taxonomy before campaigns ever go live. Connect Your Account Authorize Claravine's LinkedIn Ads integration in minutes. Your Campaign Manager data (accounts, campaign groups, campaigns, ad sets, and ads) syncs directly into Claravine. Apply Your Standards Map LinkedIn's campaign hierarchy to your taxonomy. Enforce naming conventions, required fields, and approved values so every campaign enters your workflow clean. Measure With Confidence With consistent, governed metadata flowing from LinkedIn into your analytics stack, your team spends less time fixing data and more time acting on it. Why It Matters LinkedIn is your B2B channel. Treat its data like it. LinkedIn Ads delivers unmatched B2B targeting, but that precision only pays off if the data behind it is consistent. When campaign names drift, taxonomy breaks, and fields get skipped, your reporting suffers and your optimization stalls. Claravine fixes that upstream, before it becomes a downstream problem. Get Started Book a Demo 10Manual exports required 85%Campaigns validated pre-launch 1Source of truth for B2B campaign data How data moves From Campaign Manager to your analytics stack — governed every step. The integration covers the full data journey: ingest, standardize, validate, and activate. Step 1:Ingest LinkedIn campaign data syncs automatically into Claravine via scheduled... --- How to evaluate enterprise marketing data governance platforms. A buyer's guide for marketing operations, analytics, and data teams at enterprise organizations This guide outlines the criteria that actually matter when evaluating platforms at enterprise scale. Book a Demo When marketing data breaks down at scale, the consequences are not minor. Attribution fails. Campaign budgets get misallocated. Analytics teams spend weeks cleaning data instead of generating insights. For enterprise organizations running campaigns across dozens of platforms, regions, and agency partners, the stakes of getting data governance right are measured in millions of dollars of marketing spend. That is why more enterprise marketing teams are evaluating dedicated marketing data governance platforms. But not all platforms solve the same problem, and choosing the wrong one means paying twice: once for the tool, and again for the cleanup work it was supposed to eliminate. 7 Criteria that separate capable platforms from point solutions The core problem these platforms solve Enterprise marketing teams generate enormous volumes of campaign data across channels — paid search, social, display, email, affiliate, and more. Each platform has its own naming conventions, tracking parameters, and data formats. Without a governance layer, data arrives in your analytics stack inconsistent, incomplete, and unreliable. The traditional response has been to fix data after the fact: manual QA, post-campaign cleanup, spreadsheet reconciliation. This is expensive, slow, and never fully accurate. The better approach is governance at the source — enforcing standards before data enters your systems, not after. The platforms you evaluate should be... --- Stop breaking mobile attribution. Start building revenue. Standardize your mobile campaign metadata to ensure every deep link drives measurable, traceable revenue. In the mobile marketing world, a click is a complex handoff. Mobile deep links bridge the gap between a web click and a specific in-app destination—ensuring users land exactly where they intended, not on a generic homepage. To track this journey effectively, marketers rely on Mobile Measurement Partners (MMPs) to measure the flow from initial ad click to app install to in-app activity. Get Started The challenge Fragmented data is killing your mobile performance High-performing mobile campaigns require accurate, attributable deep links, but scaling them is nearly impossible when: Teams build links one-by-one with inconsistent naming conventions Typos and missing fields break attribution logic "Bare-bones" tracking skips critical metadata, leaving you blind to what's actually driving engagement Manual, repetitive setup slows speed-to-market The result? Broken attribution. Wasted spend. Revenue you can't trace. How Claravine solves it Your governance layer before data reaches your MMP Claravine acts as the essential control point before data ever hits your Mobile Measurement Partner—ensuring every link is built right the first time. Automated ScaleRich Campaign ContextTraceable Revenue Automated scale Generate mobile links instantly using pre-approved templates that auto-populate all required fields, ensuring compliance with your organization's standards. Stop building links one by one. Claravine's AI-driven approach means your team can launch campaigns in minutes, not hours. Every link is automatically validated against your governance rules before it's created, eliminating the manual QA process that... --- Your missing guest data is costing you revenue. Here's how to fix it. The free guide hospitality marketers use to unify fragmented data, prove ROI, and finally deliver the personalized guest experiences your competitors can only dream about. Your guests move seamlessly from Google search to booking engine to front desk to loyalty app — all in a single stay. But behind the scenes, does your data keep up? For most hospitality brands, the honest answer is no. Bookings live in one system. Stay preferences in another. Loyalty data somewhere else entirely. Marketing campaigns tagged differently across every team. By the time your data is ready to act on, the opportunity has already passed. The result? Wasted ad spend. Generic messaging. Guests who feel like strangers every time they return. And a reporting process that takes a week when it should take a minute. From Fragmented to Unified: The Guest Data Journey Guide is a practical, no-fluff resource that shows you exactly where the revenue leaks are hiding — and how leading hospitality brands are closing them. Inside, you'll discover: The 5 critical points in every guest journey where data siloes silently kill revenue A straight-talking self-assessment to benchmark your organization's data maturity right now A clear, stage-by-stage roadmap to unification — whether you're starting from scratch or optimizing what you've already built Quick wins you can implement in days, not months This isn't a theoretical whitepaper. It's a practical guide built from real hospitality transformations — with honest benchmarks,... --- Your stack is messy. Your data is junk. Let's detox and decompress. You've invested in the platforms. You've hired the talent. But if someone asked you right now whether your marketing data is healthy and AI-ready or just "good enough to get by," what would you say? At the Data Standards Cafe, we're creating space for marketing leaders to step back from the chaos and get real about their data maturity. Join Claravine for an honest conversation about where your organization actually stands, and what it takes to become truly AI-ready. April 22, 2026Sugarcane Havana Room - Restaurant Row 10 am - 1 pm Most teams think they're strategic. They're running on junk data. Time to detox and decompress with us on the last day of Summit. Register to attend Claravine at Adobe Summit The Metadata Detox Roundtable. 10 am - 1 pm Your marketing tech stack is world-class. Your team is talented. Your budget is there. So why does it still feel like you're constantly cleaning up messy data, reconciling conflicting tags, and explaining why "the numbers don't match"? Because underneath all that sophisticated technology sits a toxic layer of inconsistent standards, manual workarounds, and metadata that's been copy-pasted, improvised, and duct-taped together for years. It's time for a detox. Join Claravine for an intimate roundtable discussion where marketing leaders come together to honestly assess the metadata mess, and chart a path to clean, consistent, AI-ready data infrastructure. This is not a presentation. It's a facilitated conversation among peers... --- Join Claravine at Adobe Summit Join Claravine at Adobe Summit to discover how the right metadata strategy can help you unlock even more value from your Adobe investments. Your teams are already generating incredibly rich data across Adobe Experience Manager, Adobe Analytics, and your other marketing platforms—but imagine if all of that information could work together seamlessly. Book a demo at our booth, or register for Clean Data Cafe to see how leading global brands are using Claravine to get more from their Adobe data, streamline collaboration, and build the metadata infrastructure that powers modern marketing. Claravine empowers you to connect the dots across your marketing data Our customers use Claravine to standardize how they tag campaigns, classify content, and structure data across their entire Adobe ecosystem, ensuring every team speaks the same language.   Instead of wrestling with disconnected spreadsheets and manual processes, you can create integrated workflows that automatically link creative assets to performance insights, giving you the clear, consistent foundation you need to activate AI and drive better decisions. Learn from our Customers You Survived Summit: Time to Detox You're not stuck with bad data because you lack sophistication. You're stuck because you've been consuming empty calories: quick fixes, manual validations, and "balkanized standards" that give you short-term energy but no real nutrition. Your data diet is making you sick. And it's time for a cleanse. Join Claravine at the Clean Data Cafe on April 22nd for a honest health check of your organization's true marketing maturity.... --- Building a data 'center of excellence': Your strategic guide to marketing data transformation Is your marketing team drowning in data but starving for insights? You're not alone. Enterprise marketing organizations invest billions in technology, yet 79% of advertisers struggle to demonstrate clear ROI on their campaigns. The culprit isn't lack of data — it's the absence of a structured marketing data center of excellence. When campaign metadata is inconsistent, creative assets go untagged, and tracking fragments across systems, even the most sophisticated analytics can't deliver accurate insights. The result? Conflicting reports, delayed decisions, and missed opportunities that cost your organization real money. What you'll discover in this comprehensive guide: This practical roadmap shows marketing leaders exactly how to build a Data Center of Excellence (DCoE) — a centralized structure that transforms messy marketing data into a strategic asset through proven governance, standards, and processes. Inside, you'll find: The four foundational pillars every successful DCoE requires, from governance structures to technology infrastructure A detailed 12-month implementation roadmap with specific milestones and deliverables for each phase Real-world solutions to common challenges like executive buy-in, team resistance, and resource constraints Measurement frameworks with specific KPIs to prove ROI and business impact Ready-to-use worksheets to assess your current state and build your custom action plan Organizations that follow this phased approach see dramatic improvements: 65% increases in paid media tracking accuracy, time-to-insight reduced from a week to 30 seconds, and 100% taxonomy compliance across global agencies. Who should download this guide? This resource is... --- Turn marketing data into a strategic asset Eliminate fragmented systems and standardize campaign metadata to ensure regulatory compliance, accelerate AI readiness, and prove marketing ROI in financial services. Schedule a Demo Hear From Our Customers The financial services data challenge Without unified data governance, your marketing investments underperform and compliance risks multiply. Siloed systems prevent personalized customer experiences while creating operational inefficiencies that drain strategic resources. Regulatory compliance risk Inconsistent data classification across retail banking, wealth management, and insurance creates audit vulnerabilities and exposes your organization to regulatory penalties. Fragmented customer view Marketing metadata trapped in regional silos prevents the unified customer intelligence needed for personalized advisory services and cross-sell opportunities. Manual data reconciliation Analytics teams spend up to 70% of their time as "data janitors"—fixing inconsistent taxonomy and reconciling broken attribution instead of generating strategic insights. ROI measurement gaps Inconsistent tracking parameters make it impossible to trace customer journeys from initial ad impression to account opening, leaving marketing impact unproven. AI innovation barriers Poor data quality acts as the "silent killer" of AI initiatives—predictive models and personalization engines require standardized, context-rich metadata to deliver results. Legacy system "innovation tax" Complex Excel macros, manual copy-pasting, and homemade validation tools create hidden costs that slow time-to-market and prevent teams from focusing on strategic growth initiatives. Transform messy marketing data into competitive intelligence Claravine delivers enterprise-grade data governance that connects marketing execution to business outcomes—providing the standardized foundation financial institutions need for compliance, attribution, and AI readiness. 60%Time saved on data QA... --- Before you can standardize marketing data across your organization, you need a data foundation — a clear, documented reference for every data field, attribute, and business rule your teams use. That's where a data dictionary comes in. When you create a data dictionary, you're building more than just documentation. You're establishing the framework that enables consistent naming conventions, accurate reporting, and seamless system integrations. Whether you're managing data in spreadsheets, databases, or marketing platforms, a well-structured data dictionary ensures everyone speaks the same language. This guide walks you through the five essential stages of building a data dictionary that scales—from understanding key elements to activating it across your entire marketing ecosystem. Creating Your Data Dictionary For data managed in text files, spreadsheets, or csv format, you’ll manually prepare the data dictionary. A spreadsheet is the best format to support machine readability. However, you can prepare your data dictionary as a pdf or doc format by embedding a data dictionary table in your document. Central to your decision on document type and format is the ability for your teammates to use it. Choose the one they're most comfortable working with. Before creating your data dictionary, make sure to understand the elements involved. Stage 1: Understanding key elements of a data dictionary The components of data dictionaries vary but usually include the following elements: A list of names and definitions of database objects List of tables or entities List of columns, fields, and attributes Properties of data elements such as optionality, data... --- AI-powered marketing intelligence Stop wasting spend on naming errors and inconsistent tagging. Claravine AI automatically analyzes, corrects, and standardizes your marketing data so you can optimize campaigns with confidence and unlock actionable insights. Work inside the AI tool of your choice and send the data directly into Claravine in a seamless motion, ensuring your standards are maintained across every platform. See it in Action Explore the Platform Garbage in. Garbage out. How clean is the data you’re using to fuel activation, optimization, measurement, and AI? Nearly 75% of the data entering our platform from media and ad platforms contained taxonomy errors — errors our customers could catch and fix. Audit Your Data https://youtu. be/zGRA7Cy7gKo Ensure Data QualityScale Creative Analysis Automate your data standards at scale Claravine's NLP capabilities use large language models to eliminate manual work and human error across your marketing operations. Whether you're using ChatGPT, Claude, or any other AI tool to draft campaign strategies or generate content ideas, Claravine integrates directly into your workflow. Send outputs straight into Claravine where they're automatically validated against your standards. Taxonomy translationAutomatically transform and align different taxonomies across regions, business units, and clients—no more manual mapping or inconsistent standards. Smart correctAI instantly identifies and suggests fixes for metadata errors. Review and approve corrections with a single click, ensuring data quality across thousands of campaigns. Claravine AI agentGenerate thousands of taxonomy-compliant campaign names and IDs in seconds. Work in your preferred AI environment, provide your campaign objectives, and send the output directly... --- Your Marketing Data Is Sabotaging Your AI Investment A free audit workbook to uncover the taxonomy chaos that's costing you budget, time, and trust in your numbers. TL;DR AI won't work if your marketing taxonomy is a mess Your board wants AI-driven personalization. Your revenue team demands predictive lead scoring. Your CMO needs attribution that actually makes sense. When campaigns are named "Q4_promo_final_FINAL_v3" in one system and "2024-Q4-Promotion-US" in another, you're not just annoying your analysts. You're making it impossible for AI models to learn meaningful patterns. You're rendering attribution useless. You're wasting budget on duplicate audiences because nobody can tell they're the same segment defined three different ways. Most enterprise marketing organizations have evolved their taxonomy organically as teams scaled. Someone started a naming convention years ago, agencies brought their own standards, regional teams did their own thing, and now nobody remembers what's "official. " This is completely normal—it means you grew fast. But if you're serious about AI and advanced analytics, it's time for a reality check. This comprehensive audit workbook walks you through exactly where your marketing data governance stands today—not where you hope it is. You'll examine campaign naming conventions, custom field sprawl, channel tracking consistency, digital asset management, privacy compliance tagging, and cross-system integrations. What you'll discover: If your AI initiatives have the data foundation they need Where taxonomy breaks down between systems How teams are working around your "standards" What data gets lost or transformed unexpectedly Whether your attribution models can actually function What... --- As your company grows, it’s easy to lose track of where you store data. Data silos exist everywhere, and employees have difficulty finding information when they need it. In addition, other issues such as inconsistent definitions, naming conventions, and element values lead to misinterpretation and misuse of data in reporting. A data dictionary improves data integrity within your organization by supporting consistent terminology and data elements in your systems. Using a data dictionary encourages the trust and reliability of data. It also makes it easier for users to understand data elements, find information, and reuse information in the future. A data dictionary is one of the first steps towards achieving data integrity. It provides a foundation for your data taxonomy, marketing taxonomy, data transparency, and org-wide data democracy to come to life. In this guide, you’ll learn how data dictionaries are used, the benefits of using a data dictionary, and how to create one as you unfold enterprise-wide data standards. Defining a Data Dictionary A data dictionary is a centralized repository of information used to catalog and communicate the structure and content of a database or dataset, such as the names of measured variables or descriptions for individually named data objects. Think of a data dictionary like a road map of information that’s not only a place to keep the information, but also provides context and describes how you’ll store information. A data dictionary shows the purpose of data elements and includes metadata information within the context of a project... --- Stop letting bad data drain your marketing budget. Schedule a call to learn how enterprise brands use Claravine to reclaim wasted ad spend and drive higher ROI through standardized metadata. --- Unify retail marketing data across every channel Break down data silos between agencies and teams. Standardize campaign taxonomy, from Meta to Snapchat to in-store activation. Transform fragmented customer data into actionable insights that drive growth. Schedule a Demo Hear From Our Customers The retail marketing data challenge Enterprise retailers run campaigns across dozens of platforms with multiple agencies and internal teams. Without unified data standards, every channel becomes another silo—making comprehensive measurement and optimization nearly impossible. Cross-channel data chaos Different naming conventions across Meta, Google, Snapchat, TikTok, and other platforms make it impossible to aggregate performance and understand the full customer journey. Agency & team silos Each agency and internal team uses its own taxonomy and reporting structures, creating conflicting datasets that prevent unified analysis and slow decision-making. Disconnected customer data First-party loyalty data, e-commerce behavior, and media exposure live in separate systems—preventing personalization and accurate attribution across touchpoints. Compliance & privacy risk Managing customer consent, privacy preferences (CCPA, GDPR), and data-sharing agreements across channels, teams, and partners creates constant legal exposure. Measurement gaps Connecting digital marketing spend to in-store purchases and SKU-level sales requires data integration that most retailers struggle to achieve consistently. Slow campaign execution Manual data harmonization and inconsistent metadata slow campaign launches, wasting valuable marketing time and limiting agility in competitive markets. One taxonomy. Every channel. Complete visibility. Claravine is The Data Standards Company, providing the systematic infrastructure to unify marketing data across your entire organization. We ensure every campaign — from social media, to retail... --- Unify campaign taxonomy across all your clients Eliminate inconsistent naming conventions, streamline workflows from planning to execution, and deliver accurate reporting that proves ROI—without the manual data cleanup. Become a Partner Customer Stories The agency data challenge Your agency manages dozens of clients across multiple platforms, teams, and partners. Every campaign requires precise tracking — but without standardized taxonomy governance, your data becomes fragmented, reporting takes weeks instead of hours, and proving value becomes nearly impossible. Fragmented naming conventions Every client, platform, and team uses different taxonomies. One uses "Q1_Brand_Social" while another uses "Social-Brand-Q1. " Your analytics sees completely different campaigns, dropping match rates from 95% to 65%. Workflow friction & integration gaps Moving campaign data from media planning tools to execution platforms is manual and error-prone. Critical information gets lost between systems, delaying launches and creating reconciliation nightmares. Lack of creative-level tracking Despite creative driving the majority of performance, most agencies don't track at the creative variant level. The manual effort of creating naming conventions for hundreds of assets is overwhelming. Real-time error prevention QA happens after campaigns launch—when it's too late. Errors slip through manual checks and don't surface until reporting week, forcing time-consuming reconciliation between platforms like Power BI and your ad systems. Adoption & change management New tools often create resistance. "Another login? Another step? " Your team is already stretched thin. Claravine embeds directly into existing workflows, requiring minimal behavior change while delivering maximum value. Missing chain of custody Digital assets lose their identity between... --- Turn All Data Into Measurable Profit Claravine and Transparent Partners have joined forces, combining enterprise-grade platform capabilities with deep consulting, strategy, and implementation expertise. See Press Release Get Started Transparent Partners Empowering Brands to Thrive in a Data-Driven World Consumer Connection Starts with TransparencyWe empower marketing, sales, product, data, and tech teams to collaborate seamlessly, unlocking the full potential of consumer data and AI-driven tools for measurable ROI. Claravine Connecting Your Marketing Data, Seamlessly Claravine’s platform centralizes and standardizes your marketing data, making it easy to translate complex taxonomies across teams, tools, and channels. With robust integrations and an agnostic approach, Claravine ensures your data flows smoothly between systems, enabling consistent, high-quality insights and efficient campaign execution—no matter the technology stack you use. Working Together Build Your Business Case — Fast. Execute with Confidence. With our partnership, we provide the expertise and tools to get internal stakeholders on board quickly and make data governance effortless. Our dedicated resources help your teams: Personalize campaigns at scale with consistent, reliable data. Reduce errors and rework through seamless collaboration and compliance with taxonomy standards. Unlock accurate insights for smarter measurement and improved campaign performance. From planning to execution, we make your data work harder so your marketing works smarter. Trusted by marketing leaders at global brands Leading brands and agencies choose Claravine to achieve consistency and performance at scale Learn From Our Customers Case Studies Learn how leading companies use Claravine to standardize, govern, and connect data across every team, system, and channel. Quality data drives... --- Break free from manual marketing processes Eliminate Excel messiness and standardize campaign data across global markets to accelerate reporting, fix broken attribution, and drive automotive performance. Schedule a Demo Hear From Our Customers The automotive marketing data crisis Manual processes and inconsistent naming conventions are holding your marketing operations hostage. When every market uses different standards and your data warehouse can't make sense of campaign metadata, you're losing visibility, wasting budget, and making decisions in the dark. Endless manual reporting Your team spends countless hours in Excel managing media performance, optimizing campaigns, and tracking pacing — time that should be spent on strategy and growth. Broken attribution & messy UTMs Different countries and marketers use their own naming conventions, creating thousands of UTM combinations. Tampered URLs and inconsistent tracking parameters make attribution nearly impossible. Fragmented multi-platform data Campaign names and metadata vary across Adobe Campaign, Salesforce Marketing Cloud, and other activation tools—preventing unified performance analysis and accurate ROI measurement. Data warehouse struggles Marketing data scattered across systems can't be efficiently organized into your data warehouse structure, leaving internal data siloed and underutilized for decision-making. No taxonomy standards Without centralized governance, teams moving fast create inconsistent, missing, or inaccurate data—making it impossible to maintain quality at scale. Lost performance visibility When your data is fragmented and inconsistent, you can't optimize pacing, compare regional performance, or prove marketing's impact on vehicle sales and test drives. Transform marketing chaos into strategic velocity Claravine provides a centralized framework for standardizing campaign metadata across all... --- Transform fragmented CPG data into marketing ROI Unify disconnected consumer insights, prove campaign attribution across retail channels, and accelerate AI-driven personalization with enterprise metadata governance built for consumer packaged goods. Schedule a Demo The CPG marketing data challenge Consumer packaged goods brands face a critical disconnect: marketing happens digitally, but 70% of purchases still occur through third-party retailers. Without unified data standards, you can't connect campaign touchpoints to actual sales—making ROI proof nearly impossible. Fragmented consumer journey Marketing metadata lives in silos—separate from retail POS data, disconnected across distributors and channels. Without a unified view from ad impression to purchase, attribution becomes guesswork. Inconsistent data standards Display campaign data uses different formats than social, digital differs from in-store—preventing personalization at scale and making brand loyalty campaigns impossible to execute effectively. Marketing ROI mystery Dirty data across platforms and regions makes proving campaign effectiveness a manual nightmare. If metadata doesn't match sales data, attributing revenue to specific creative or channels is error-prone. AI & analytics bottleneck Slow, manual data reconciliation prevents feeding clean metadata into AI models. Your analytics can't deliver the consumer understanding needed to compete—creating costly opportunity gaps. Turn data inconsistency into competitive intelligence Claravine provides the metadata governance foundation CPG brands need to unify marketing data across retail partners, prove multi-touch attribution, and power AI-driven consumer insights that drive revenue growth. 60%Higher Revenue Growth 1xFaster Campaign ROI 0%Attribution Accuracy Book a Demo Prove marketing ROI with multi-touch attribution CPG marketers face 20-500 touchpoints per shopper journey. Without standardized... --- Own Your Taxonomy. Accelerate Results. Stop waiting on slow processes. When tagging and metadata live in scattered spreadsheets or with agencies, your teams lose time, budget, and insights. Claravine—and experts like Ned Bigelow—help fix that. Meet Ned Bigelow With 20+ years driving growth for Fortune 100 brands, Ned knows how to turn data standards into real marketing performance. From Yahoo! to AOL to Claravine, he’s helped teams build smarter systems that deliver measurable impact. Talk with Ned to see how better data drives better marketing. The Problem You Know Too Well Inheriting unwanted agency taxonomy You built a taxonomy — but no one’s using it consistently across teams Lack of data governance accountability Siloed processes that make global visibility and reporting impossible Inconsistent tagging and a lack of standardization in campaign tracking You can’t trust your campaign data, because key fields are missing or wrong. What You Deserve: Owned unified taxonomy & metadata governance — Align naming conventions across all markets, tools, and campaigns Data governance – Define your own taxonomy, naming conventions, and validation rules Campaign-ready metadata — Consistent product, segment, and timing metadata powers personalized offers at scale Scalable tracking URL generation — Faster, more accurate tracking generation, leading to faster time to launch A central source of truth —Your teams can actually use How it Works How Claravine Works With Your Existing Systems We meet you where you are. Whether you start in Workfront, Claravine, or your existing systems, we make taxonomy management effortless. Let's Get Started About Claravine: The Data Standards... --- Deep link governance and standardized links for max ROI Deep Link Governance delivers the standardized link framework to eliminate manual errors, streamline cross-channel tracking, and gain a clear view of the customer journey — powered by the Claravine integration. Get Connected How our integration works Seamlessly connected mobile. Automated Attribution. Create Structured Links Use Kochava-specific templates in Claravine's spreadsheet view to enter mobile and CTV link data into preset fields, creating links in bulk. Enrich With Standards Apply data standards and templates to ensure all links are enriched with correct data and values, and capture engagement data accurately. Launch With Confidence Set campaigns live across execution platforms with validated tracking, ensuring Kochava receives clean data for accurate attribution. How it Works Why Claravine + Kochava? For modern marketers, navigating complex cross-channel campaigns requires a new level of precision in data attribution. Deep Link Governance is the essential solution, providing the standardized link management framework needed to overcome the challenges of fragmentation and manual errors. By centralizing and automating link creation, your team can streamline tracking setup across all platforms, effectively eliminating the manual errors that commonly corrupt valuable campaign data. This standardization is the key to finally unlocking deeper cross-channel insights, giving you a crystal-clear, unified view of the customer journey for better optimization and maximized return on investment. Get Started "With the Kochava integration in place, we anticipate saving significant time creating and managing mobile deep links across campaigns. This is an exciting step toward simplifying our campaign setup... --- Stop cleaning data. Start building innovation. Enterprise-grade marketing metadata management that transforms your analytics team from data janitors into strategic powerhouses — automated, consistent, and AI-ready. Schedule a Demo The hidden cost of innovation Your analytics teams spend 70% of their time fixing broken data instead of generating insights. Manual tagging, inconsistent taxonomies, and siloed conventions create a drag on every initiative — from campaign optimization to AI transformation. Analytics teams in cleanup mode Data scientists and analysts are stuck reconciling inconsistent metadata instead of delivering the strategic recommendations that drive business growth and competitive advantage. Manual, repetitive taxonomy chaos Every team invents its own naming conventions for social and paid media. The result? Duplicated work, wasted budget, and analytics that can't roll up across channels or regions No cross-department data standards Without a governance framework and a common metadata ecosystem, different departments speak different data languages—making unified reporting and AI initiatives nearly impossible. No AI-ready data foundation Your AI models are only as intelligent as the data that fuels them. Inconsistent, unstructured content metadata limits personalization, content generation, and advanced analytics capabilities. Transform messy data into strategic velocity Claravine's Data Standards Cloud provides an externally developed, enterprise-grade taxonomy solution that automates marketing metadata management at scale — freeing your teams to innovate instead of remediate. 50%Reduction in Data Cleanup Time 5xFaster Campaign Deployment 0%Metadata Consistency Across Teams Book a Demo Enterprise-grade taxonomy automation Stop relying on spreadsheets and manual processes. Claravine delivers an externally developed, battle-tested taxonomy framework that... --- Data standards are the key to breaking down data silos and creating interoperability, or the ability to exchange data between disparate systems and teams. Standards are also necessary to create data integrity, ensuring data maintains its value and meaning and is usable, consistent, and accurate. The average enterprise today has more than 50 customer experience (CX) solutions, 21,000 app-to-people connections, and 30% annual SaaS turnover. Teams struggling to collaborate and manage data through shared documents and spreadsheets in this ever-changing environment need a better approach to data in all regards, especially governance and management. What Are Data Standards? A data standard, or digital standard, is an assembled collection of data components that uniformly describe data according to the expectations of all data users. Components include things like: The fields you want to collect How these relate to each other If the data type in a field needs to be a key, date, text, integer, part of a list, etc. If you have any validation rules such as needing to be unique, following a certain pattern for a date, being less than X characters, more than X digits, within a list Where and how these need to map to other systems When implemented successfully, data standards will: Capture every workflow’s context Speak fluently with all your tech Minimize inconsistency and duplication Maximize usability, access, and understanding Using digital marketing as an example, here’s a look at how data can look without standards. Notice how this compares data collected from various common... --- Transform guest data into loyalty with data analytics Unify fragmented guest data and standardize marketing metadata to deliver the seamless, personalized experiences that drive repeat stays and lifetime value. Schedule a Demo See a Customer Story The hospitality and travel data challenge Delivering personalized guest experiences requires a 360-degree view of your customer. Yet fragmented data across properties, regions, and platforms creates blind spots that undermine your personalization efforts and limit AI capabilities. Fragmented guest view Marketing and guest metadata are siloed across systems, preventing accurate cross-channel attribution and making it impossible to deliver the right offer at the right time. Taxonomy inconsistencies Major bugs and inconsistencies in data taxonomy impact creation, quality, and data flow—resulting in unreliable reporting across global properties. Hidden QA costs Teams spend excessive time on quality assurance and manual reporting due to inconsistent naming conventions—costs that remain invisible to leadership. AI readiness gap Inconsistent data inputs limit your ability to train predictive models for guest intent, dynamic offers, and hyper-personalized experiences. Turn data inconsistency into competitive advantage Claravine provides the systematic infrastructure to ensure every piece of marketing and guest data is structured, consistent, and ready to fuel advanced personalization and AI across your global properties. 350°Guest View 60%Less QA Time 0%AI-Ready Data Book a Demo Establish consistent taxonomy across all properties One property uses "Summer_Promo" while another uses "Promo_Sum24. " Your analytics platform sees different campaigns, fragmenting performance analysis and preventing unified guest insights. Ready to Unify Your Guest Data? See how Claravine transforms... --- This content is password-protected. To view it, please enter the password below. Password: --- Achieve compliance and ROI with data governance Unify fragmented infrastructure and standardize patient data to protect trust and ensure legal security in the highly regulated healthcare industry. Schedule a Demo The healthcare data challenge Without a systematic data governance framework, growth and compliance are fundamentally at odds. Data quality and consistency directly limit one's ability to create personalized patient journeys and optimize operations. Regulatory risk & auditing Fragmented data makes HIPAA and GDPR compliance challenging, exposing your organization to penalties and reputational damage. Siloed systems Patient information scattered across EMRs, CRMs, and marketing platforms forces manual reconciliation and creates an administrative burden. No universal language Data is recorded inconsistently without standardized definitions across teams, regions, and agencies, making governance nearly impossible. Transform data inconsistency into competitive advantage Claravine provides a structured, organization-wide framework for collecting, managing, and standardizing your marketing metadata—connecting patient-centric marketing to critical data platforms. 80%Data Accuracy 50%Average Time Saved 0%Compliance Violations Book a Demo Streamline campaign naming for compliance Inconsistent campaign naming is a compliance liability. Every campaign requires dozens of metadata fields—and manual coding creates errors that fragment your analytics. Put your marketingstandards to work. See how Claravine transforms healthcare marketing data governance in a live demo. Get a Demo Integrate your data ecosystem with confidence Healthcare organizations face monumental integration challenges with diverse data formats and strict security requirements. Your systems need a shared understanding. Agile integration Flexible approach enabling seamless data exchange between healthcare platforms and marketing applications — no rip-and-replace needed. Data integrity... --- Sign Up For Our Newsletter! Stay informed and ahead of the curve. Our monthly newsletter delivers essential updates straight to your inbox, covering new features, key events, and helpful customer resources. Sign up for straightforward, high-value communication, guaranteed spam-free. Subscribe on LinkedIn --- https://youtu. be/_olGAzwtDn0 Book an intro call Transform your marketing data from a problem into a competitive advantage. Book a call to outline your personalized demo now. What happens when you book? You'll meet with Marisa (see her intro here) for a consultative conversation about your specific data challenges—not a generic pitch. We'll listen to your pain points, show you how Claravine can help, and map out next steps together. New to Claravine? Watch Marisa's quick intro below to learn what an intro call looks like. See the Power of Data Standards in Action Transform your marketing data from a problem into a competitive advantage. Book a call to outline your personalized demo now. If you prefer to communicate via email, please fill out this form, and someone will contact you. Current Customer? Get support and answers to your most pressing questions over in our Knowledge Base. Visit the Knowledge Base The Value of UnseenData Integrity Explore how Carhartt standardized their approach to data integrity across global marketing channels. Full Case Study See us on G2 See what your peers are saying about Claravine on G2 — or add your own take Learn More Contact Us If you're not quite interested in setting up a time to schedule a demo, but still want someone on the team to contact you, please fill out this form and someone will be in touch shortly. --- Build something great with a Claravine career. Are you looking for an exciting opportunity at a smart, high-growth company with a mission you can believe in? We're a team of supportive and hard-working colleagues dedicated to building a great product for our incredible customers, and we'd love for you to join us. Watch the Video See Our Values A Claravine career is where you grow and thrive. At Claravine, our culture is rooted in trust, collaboration, and a shared drive to build something meaningful. From day one, our team members describe our environment as welcoming, inclusive, and energizing. We value each person as both a professional and a human, creating space for individuality while cultivating a shared sense of purpose. We’re proud to foster a people-first mindset, where relationships are strong, feedback is valued, and leadership is transparent. Whether it’s through our recognition of values in company-wide meetings or our open communication channels, we strive to build a workplace where integrity and respect are the norm. What sets us apart is our shared ambition to grow and raise the bar as individuals, as teams, and as a company. At Claravine, you'll find yourself surrounded by passionate, skilled, and supportive teammates who challenge each other to think bigger and deliver better. We’re building something special here, and we hold ourselves accountable to keep improving together. Remote Work Culture As a global team spanning multiple time zones and cultures, we embrace diversity of thought and experience as a core strength. Our remote-first... --- Partner with us We collaborate with top technology platforms, agencies, and system integrators to raise the standard for marketing data. Let’s build better customer experiences, breakthrough results, and the most effective marketing yet—together! Let's Partner Ways to Partner Claravine is your partner in data standards success. From implementing comprehensive taxonomy and metadata to breaking down silos between teams, the Claravine partner program helps you launch and maintain a data standards practice that earns the trust of your clients. Agency Direct Take the lead. Manage the Claravine platform and rollout directly for your clients with a dedicated license, giving you full control and flexibility. Co-Sell Partner with our sales team to deliver a seamless solution. You bring the services; we bring the platform. Your clients get a powerful package tailored to their needs. Resell Purchase and package. License Claravine yourself, bundle it with your services, and deliver a complete solution with ongoing client support. Referral Know someone who could benefit from Claravine? Refer them and earn a percentage of license fees when they become a customer. Technology partnerships that elevate your data standards We partner with leading platforms, agencies, and integrators to deliver trusted data standards across your entire martech stack. See Our Case Studies Our partners System Integrators Faster deployments, reduced project risk and happier clients. System integrators leverage Claravine's platform to connect systems with ease and drive value faster. The result: a marketing ecosystem that delivers accurate insights from day one. Agencies and Consultants Deliver smarter strategies with data... --- Values and Standards are our Foundation At Claravine, we believe true marketing potential is unlocked when data is standardized. As The Data Standards Company®, our offerings are deeply rooted in our Claravine values and commitment to empower brands and agencies to deliver on the promise of modern marketing. We achieve this by meticulously standardizing taxonomies, naming conventions, and metadata directly at the source of data creation. This foundational approach ensures every digital experience is built on reliable, consistent data, transforming complexity into clarity and enabling confident, high-performing decisions. Meet Our Leadership Current Open Positions Our Values Building trust, delivering excellence and creating a lasting impact Claravine's core values are not just words on a banner. They are the driving force behind every decisions, interaction and innovation that shapes our company culture and client experience. We think beyond the product and use our purpose, mission, and vision as our guiding star. We are driven by a purpose that extends beyond our innovative solutions, ensuring our mission and vision consistently guide every decision we make. The Why Purpose: To take the drama out of data. The How Mission: By standardizing data at the source. The What Vision: People, teams, and technology have shared understanding of their data Walking Our Talk: Measuring Environmental Impact At Claravine, we believe that real integrity means taking ownership of our impact – all of it. While many companies talk about sustainability, we’re taking concrete action by measuring and openly sharing our environmental footprint through a comprehensive Greenhouse... --- Our innovation is recognized. At Claravine, our commitment to innovation and excellence is deeply ingrained in our culture, and our awards and recognition are a testament to that dedication. We believe in building a team that is not only passionate about solving complex marketing challenges but is also recognized for their expertise and leadership in the industry. We’re proud to highlight the achievements of our leadership team, who bring a wealth of experience from top companies like Adobe, Omniture, and Ancestry. Their deep understanding of the SaaS and marketing technology landscapes has been instrumental in shaping Claravine into a category leader. Awards and recognition often reflect this high-level expertise and the strategic vision they bring to our platform. See our leadership team See our values Award AdExchanger - Best Data Technology Claravine was awarded Best Data Technology at the 2022 AdExchanger Awards. Our campaign data strategy case study with one of the biggest retailers in the world helped take home the prize. We were proud to be nominated again in 2023. Award AdExchanger Top 50 Programmatic Power Players Claravine was named to AdExchanger’s 2023 Programmatic Power Players List. This marks the second consecutive year Claravine has been included in the annual list. The Top 50 Programmatic Powers Players is a definitive list of the top agencies and strategic partners in the digital advertising industry. Award INC 5000 - 2024 Claravine has landed in the INC 5000 five years in a row. The prestigious ranking provides a data-driven look at the... --- Guiding the Future of Data Standards Meet the Visionaries Behind Claravine At Claravine, our leadership team embodies the core values that drive our mission as The Data Standards Company®. They are dedicated to empowering brands and agencies to excel in modern marketing by championing standardization at every stage of data creation. About Claravine Our Roots Our story began with a firsthand understanding of the very challenges we set out to solve. We recognized that despite massive investments in digital analytics, many organizations struggled to get reliable data. Minor inconsistencies—like misclassified URLs or outdated tagging—could derail insights, hinder optimization, and lead to missed revenue opportunities. With teams spread across multiple channels and agencies, maintaining data governance from the start was nearly impossible without the right tools. This inspired us to develop a solution: a platform that ensures consistent, clean data capture from the outset, empowering brands to unlock genuine marketing insights. Our goal was straightforward—help organizations deliver richer, more reliable data that powered not just analytics but the entire marketing ecosystem. Our breakthrough In 2012, we launched the first SaaS platform designed specifically to enforce uniform tracking across all digital experiences. Its core principles included: Unified Taxonomy Enforcement: Allowing marketing leaders to define and enforce consistent tracking standards tailored to their unique needs. Ease of Use: Simplifying the creation of tracking codes and providing instant validation of data in analytics and third-party tools. User-Friendly Design: Making the platform intuitive so all team members could quickly adopt and use it effectively. Ecosystem... --- Heading 1 Heading 2 Heading 3 Heading 4 Paragraph Link Button Arrow Button Unordered List Item Nested Unordered List Item Unordered List Item Ordered List Item Nested Ordered List Item Ordered List Item --- PowerfulData Standardsat Scale Enterprise marketing metadata and taxonomy management that transforms data silos into connected performance. Streamline data workflows, accelerate time-to-market, and unlock growth through enterprise-wide standardized metadata that's AI-ready. Discover the Platform See It Yourself “We’ve been able to increase our operational efficiency and it allows us to spend more time focusing on things that deliver business value... ” More “Claravine isn’t a one-trick pony. We brought it in for one use case, and now we’re getting additional value from it... . ” More “Without visibility into which channels were driving a direct response on the website, poor data resulted in inefficiencies, and... ” More “We can now track our users across device, across platforms to provide the best experience that we can for our Health Care Providers... . ” More See marketing datastandardizationin action See It Yourself Non-compliantdata costs morethan you think How confident are you in the data driving your business decisions? When data standards vary across teams, channels and partners, performance insights become unreliable. Integrate Claravine seamlessly into your existing processes to give your team the confidence to measure, optimize and scale with precision. Stop questioning your data. Start leveraging it. Learn About Data Standards Wyndham Hotels & Resorts Unlocks Real-Time Insights Read More Colgate-Palmolive’s Path to Global Data Consistency Read More How it Works Stop wasting time on data archaeology Real-time validation and unified standards eliminates errors and empowers confident actions. Marketing, operations, and analysts working from the same data foundation transforms internal communication from... --- The DataStandards Cloud Take control of your marketing metadata from one platform. Set your data standards and automatically embed persistent, purpose-built data relationships across every workflow, team, and channel. Watch Video See It Yourself Trusted by global marketing leaders 50%+Of imported data wasn't compliant until Claravine stepped in 50%Taxonomy Compliance post implementation --- Are you losing control of your data? Take it back with standards. Data standards help brands and agencies embed data relationships into workflows with ease. Gain control over out-of-control marketing metadata while aligning every team, person, process, and channel. Get Started Next Step What are marketing data standards? Data standards are a method for naming, storing, and tracking your marketing data wherever it flows. With our platform, you can define, control and embed data standards to meet evolving business needs. Bring your taxonomy to life across marketing-specific data—from campaign names, tag management, tracking codes, and more—all from one platform. Get the Guide DefineControlEmbed Persistent, purpose-built, and made to scale. Construct your source of metadata truth in one place. Bring your taxonomy to life—structured, accessible, and always easy to update. Accelerate work without sacrificing control Empower data generation, validation, editing, and enrichment without compromising governance. Requirements or teams change? No problem. Align teams, people, processes, and channels Power reliable global marketing by meeting teams where they work. Activate data standards across teams and processes in the exact format your people and platforms need, exactly where they need it. See marketing datastandardizationin action Are you ready to stop
fighting for data compliance? Schedule a call to learn why enterprise brands choose Claravine to produce quality metadata and taxonomy. --- Standardize Tracking. Power Measurement. Unlock Insights. Claravine makes campaign tracking consistent, scalable, and error-free. Generate, manage, and maintain a data chain of custody across the customer experience for clean, complete insights marketers and analysts can trust. See It In Action Best Practices Your ProblemOur Solution Flawed tracking Campaign codes are managed manually and in spreadsheets, if at all. This slows down your team, making it difficult for analytics to map codes to the right dimensions and measure confidently. Connectors Effortless Data Flow to Analytics and Storage Explore Integrations 0%Tracking code format compliance 1M+Unique tracking codes generated 0%Reduction in manual data cleanup tasks 0%Increase in ROI Consistent, comprehensive tracking at scale Claravine validates parameters to generate consistent, accurate UTMs and IDs, helping marketers and analysts speak the same data language. Ops can move fast without errors, while data teams control the mapping of metadata in analytics and BI tools. Tracking Codes Protect details & maintain logic Including campaign data on links can expose sensitive information. Shorten URLs and obfuscate details using IDs only your business understands—keeping your strategy private while preserving metadata for analytics and reporting. Mobile Marketing Generate deep links and QR codes When metadata and links are wrong, customer experience and attribution suffer. Leverage pre-built workflows and connectors to ensure consistent, scalable tracking across web and mobile. Measurement Improve insights & capabilities Fragmented data makes accurate, timely measurement difficult and weakens confidence. Connect detailed, structured data across platforms, analytics, data warehouses and data lakes so you can measure fast,... --- Take Control of Your Assets & Creative Claravine helps every team that creates, uses, and measures assets to stay aligned. Standardize, fix and enrich naming and tagging. Then uniquely ID and trace assets from creative development to media performance.   Ensure the right creative is located, used, and optimized, closing the loop between digital asset management, media execution, and marketing insights. See It In Action Watch the Video More content, less control? You’re not alone. 50% of assets created by brands are never activated. As GenAI accelerates creative volume, are your assets being used or wasted? With Claravine, gain structure, accuracy and control over your asset metadata, ensuring everything is aligned and actionable. Audit Your Data Your ProblemOur Solution Inability to measure or optimize creative Even with flawless planning and creative work, asset naming and tagging is often missing, wrong, and impossible to maintain across the creative lifecycle. This leads to asset misuse, wasted spend, and breaks optimization and reporting. Connectors Embed standards into every asset & workflow Explore Integrations Visibility into the asset black box Standardize asset naming and tagging across teams and platforms. Automatically assign a persistent Content ID to assets based on their visual and contextual make up. Easily connect your data points to finally understand asset use and performance across platforms and campaigns. 0%+Campaign and CreativeCompliance 0%Increase in Asset Reuse 0%Reduction in Hours Spent on Asset Creation & Review Digital Asset Management Get rid of your DAM problem Disorganized and duplicate assets make your DAM and other... --- Eliminate Campaign Silos. Activate Possibilities. Claravine helps brands and agencies orchestrate fully compliant campaigns while connecting every team and data point. Automatically generate, validate, and correct names, IDs, and tags. Launch faster, reduce waste, and deliver clean, consistent data for accurate analytics and intelligent actions. Garbage In. Garbage Out. How clean is the data you’re using to fuel activation, optimization, measurement, and AI? Nearly 75% of the data entering our platform from media and ad platforms contained taxonomy errors—errors our customers had the chance to catch and fix. Audit Your Data Your ProblemOur Solution Wasted spend Even with flawless planning and creative, errors in naming and tagging break optimization and reporting, leading to wasted spend and missed data opportunities. Compliant data across teams and platforms Launch faster with fewer delays, revisions or misalignment. Generate, validate, and fix names across hundreds or millions of data points to prevent errors, improve compliance, and deliver clean data for reporting and AI. Connectors Embed standards into every workflow Explore Integrations 0%Agency-brand taxonomy compliance 1B+Data points managed 0%+Of imported data wasn’t compliant until Claravine stepped in 0%Increase ROAS Dashboard Non-compliant data costs you Access powerful metrics and insights into data standards adherence so you can prioritize and address gaps fast, speeding progress toward total compliance. Tag Validation Avoid costly tagging mistakes Even when campaigns look perfect, tags may be broken or misconfigured, resulting in missing or inaccurate data. Control tag configurations and requirements, then validate them in real-time so you can catch errors early and... --- Are you tired of the daily data chaos that plagues your marketing team? From inconsistent campaign names to reporting nightmares that waste countless hours, a lack of data standards can make even the simplest tasks feel impossible. In today’s complex digital landscape, where campaigns run across multiple channels and agencies, having a unified approach to your marketing data is no longer a luxury—it's a necessity. That's why we created this quick-start guide, Data Standards 101. This essential guide is your first step toward transforming data chaos into seamless collaboration. We'll help you move beyond the daily frustrations of messy metadata and provide you with a clear roadmap for success. You’ll discover how to create a universal language for your marketing ecosystem, ensuring that every campaign, team, and technology partner is on the same page. Inside, we break down the most common challenges, like campaign tracking confusion and reporting nightmares, and show you how to solve them with a foundational approach. Learn how to define what data is collected, how it's labeled, and where it flows, giving you the consistency and clarity you need. This isn't just about cleaner data; it's about empowering your teams to be more efficient, reducing errors, and ensuring every marketing dollar is spent effectively. Stop wasting time and start making smarter, data-driven decisions. Download our free guide, Data Standards 101, and start your journey to a more organized and impactful marketing future today. --- Thrive through uncertainty with data-powered resilience In today's unpredictable economic climate, marketing budgets are often the first on the chopping block. But what if you could not only defend your spend but also accelerate growth, regardless of market shifts? This essential ebook reveals how leading marketing teams are leveraging robust data standards to transform their operations from vulnerable cost centers into agile, data-driven engines of success. It's time to stop just surviving and start truly thriving. Book a Demo Instant eBook Download Unlock ROI & agility when every dollar counts Economic pressures demand unparalleled accountability from marketing. Yet, most teams struggle to connect their efforts directly to revenue, leaving budgets exposed. This guide exposes the hidden costs of unreliable marketing data and uncovers the critical advantages that data standards deliver during uncertain times. You’ll discover some of the following in our comprehensive instant downloadable ebook: defend valuable initiatives with concrete performance data. how to make surgical budget adjustments, reallocate resources to high-performing campaigns, and Dive in to explore: The paradox of cuts: Why slashing marketing budgets often prolongs recovery periods and puts businesses at a competitive disadvantage. The true cost of unreliable data: Beyond budget meetings, understand the impact of inefficient ad spend, lost opportunities, and productivity drains. Measurable impact: See how 50% of brands that maintained ad spending saw ROI improve, even in challenging conditions. Download your data-powered advantage! The next downturn will bring a powerful new tool to the forefront: AI. This guide reveals how forward-thinking teams are already leveraging AI... --- Thank you for booking a demo! We are looking forward to connecting with you. An email with a calendar invite has been sent to your inbox to confirm our meeting. --- Why Claravine? Don't just scale your business; propel it forward! Top brands worldwide understand that quality data isn't a luxury – it's a strategic imperative. They choose Claravine to actively eliminate the drama from their marketing data, transforming it into a powerful asset. Partner with our expert team and experience the unparalleled precision and clarity that drives real ROI. It's time to take control of your data narrative and not allow the drama to win. Explore the product Watch the video https://youtu. be/Pvh6idi4YJI? feature=shared https://youtu. be/F1bxSV1hBSE? feature=shared Turn messy data into a strategic advantage. In today's fast-paced marketing world, fragmented data and inconsistent taxonomies can slow even the best teams down. This isn't just about an organizational headache — it's about the lost time, missed opportunities, and the inability to confidently measure your impact. Watch our brand video to see how Claravine helps global brands take the drama out of their marketing data, connecting every team, tool, and data point with a single source of truth. We’ve Got Awards Under Our Belt Recognized for our impact, we're proud to have received industry awards for our work alongside top brands. These accolades aren't just for us; they reflect the tangible success our customers achieve by transforming their marketing data. See the full story behind our recognition and discover how our award-winning approach can benefit you. See our awards --- Data standards are the key to breaking down data silos and creating interoperability, or the ability to exchange data between disparate systems and teams. Standards are also necessary to create data integrity, ensuring data maintains its value and meaning and is usable, consistent, and accurate. The average enterprise today has more than 50 customer experience (CX) solutions, 21,000 app-to-people connections, and 30% annual SaaS turnover. Teams struggling to collaborate and manage data through shared documents and spreadsheets in this ever-changing environment need a better approach to data in all regards, especially governance and management. What Are Data Standards? A data standard, or digital standard, is an assembled collection of data components that uniformly describe data according to the expectations of all data users. Components include things like: The fields you want to collect How these relate to each other If the data type in a field needs to be a key, date, text, integer, part of a list, etc. If you have any validation rules such as needing to be unique, following a certain pattern for a date, being less than X characters, more than X digits, within a list Where and how these need to map to other systems When implemented successfully, data standards will: Capture every workflow’s context Speak fluently with all your tech Minimize inconsistency and duplication Maximize usability, access, and understanding Using digital marketing as an example, here’s a look at how data can look without standards. Notice how this compares data collected from various common... --- This content is password-protected. To view it, please enter the password below. Password: --- Modern tracking code management demands enterprise-grade solutions. In today's fast-paced marketing world, managing your tracking codes is about much more than just sticking a few parameters on a URL. If you're an enterprise organization, you're likely juggling hundreds of campaigns across dozens of channels, each needing its own precise protocol for accurate measurement. It's a huge task, and getting it wrong means murky data. That's where Claravine's Data Standards Cloud comes in. We offer advanced tracking code management that automates validation, spots errors in real-time, and even suggests intelligent parameters to make your campaigns launch smoothly and keep your data clean. The shift to a privacy-first world has added a whole new layer of complexity. With cookies fading, new consent rules, and first-party data strategies taking center stage, your old manual processes simply can't keep up. You need a system that can dynamically adjust how it collects data based on what users prefer and what regulations demand. Claravine is built for this. Our platform gives you flexible frameworks that adapt automatically to changing compliance needs, all while making sure your measurement stays accurate. No more scrambling to keep up with the latest privacy shifts. And let's talk about connecting everything. Claravine offers API-driven tracking code management that links directly with your marketing automation tools. This means your campaign parameters stay in sync across all your tech, quality checks happen automatically, and data flows seamlessly between all your marketing investments. Companies using our comprehensive solution are seeing big improvements in data... --- Thank you! We'll be in touch. Watch for an email from an expert at Claravine who can help you get all the answers you need to getting started with The Data Standards Cloud®. Hear from Claravine Customers --- Last Update: Data security is a top priority for Claravine, and Claravine believes that working with skilled security researchers can identify weaknesses in any technology. If you believe you've found a security vulnerability in Claravine’s service, please notify us; we will work with you to resolve the issue promptly. Disclosure Policy If you believe you’ve discovered a potential vulnerability, please let us know by emailing us at support@claravine. com. We will acknowledge your email within 24 hours. Provide us with a reasonable amount of time to resolve the issue before disclosing it to the public or a third party. We aim to resolve critical issues within 3 days of disclosure. Make a good faith effort to avoid violating privacy, destroying data, or interrupting or degrading the Claravine service. Please only interact with accounts you own or for which you have explicit permission from the account holder. 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Disciplinary Action Employees who violate this policy may face... --- The page needed better standards... callibrating metadata now. --- Terms & Conditions Last updated: January 05, 2026 BY USING OUR SITE AND APPLICATION, YOU AGREE TO THE FOLLOWING TERMS AND CONDITIONS (THE “AGREEMENT”) GOVERNING YOUR USE OF CLARAVINE’S ONLINE SERVICE, (COLLECTIVELY, THE “SERVICE”). IF YOU ARE ENTERING INTO THIS AGREEMENT ON BEHALF OF A COMPANY OR OTHER LEGAL ENTITY, YOU REPRESENT THAT YOU HAVE THE AUTHORITY TO BIND SUCH ENTITY TO THESE TERMS AND CONDITIONS, IN WHICH CASE THE TERMS “YOU” OR “YOUR” SHALL REFER TO SUCH ENTITY. IF YOU DO NOT HAVE SUCH AUTHORITY, OR IF YOU DO NOT AGREE WITH THESE TERMS AND CONDITIONS, YOU MAY NOT USE THE SERVICE. THIS AGREEMENT CONTAINS A MANDATORY INDIVIDUAL ARBITRATION AND CLASS ACTION/JURY TRIAL WAIVER PROVISION THAT REQUIRES THE USE OF ARBITRATION ON AN INDIVIDUAL BASIS TO RESOLVE DISPUTES, RATHER THAN JURY TRIALS OR CLASS ACTIONS Welcome As part of the Service, Claravine will provide you with use of the Service, including a browser interface and data encryption, transmission, access and storage. Your registration for, or use of, the Service shall be deemed to be your agreement to abide by this Agreement including any materials available on the Claravine website incorporated by reference herein, including but not limited to Claravine’s privacy policy. For reference, a Definitions section is included at the end of this Agreement. 1. Modification of Terms Claravine reserves the right, at our discretion, to change, modify, add, or remove portions of the Terms at any time. Please check the Terms and any guidelines periodically for changes. In... --- Why Claravine? Don't just scale your business; propel it forward! Top brands worldwide understand that quality data isn't a luxury – it's a strategic imperative. They choose Claravine to actively eliminate the drama from their marketing data, transforming it into a powerful asset. Partner with our expert team and experience the unparalleled precision and clarity that drives real ROI. It's time to take control of your data narrative and not allow the drama to win. Explore The Product Watch The Video https://youtu. be/DSqBjdTKHok Why Should You Choose Claravine? Choosing Claravine means partnering with a team genuinely invested in your success. We take immense pride in our customers' achievements, and their overwhelming success is directly reflected in the industry accolades we've received. From being recognized as "Best Data Technology" at the AdExchanger Awards to consistently landing on the Inc. 5000 list, these honors are a testament to the real-world impact our platform and partnership deliver for top brands globally. 0%Quality of SupportGreat businesses are built on great support. We stand by our 98% quality of support, ensuring our customers always thrive. 0%Ease of Doing BusinessWe pride ourselves on being a trusted partner, making every interaction seamless for all our customers. 0k+Ease of UseData management and governance shouldn't be painful. We make it easy for you. We’ve Got Awards Under Our Belt. Recognized for our impact, we're proud to have received industry awards for our work alongside top brands. These accolades aren't just for us; they reflect the tangible success our customers... --- Claravine Privacy Policy Updated: December 1, 2025 Introduction Claravine, Inc. (“Claravine,” “we,” “our,” or “us”) respects the privacy of your information. This Privacy Policy is designed to assist you in understanding how we collect, use and safeguard the information you provide to us in using our website (the “Site”) and the services provided through our Site (the “Services”). From time to time, we may change this Privacy Policy. If we do, we will post an amended version on this webpage. If we make material changes to our Privacy Policy, we may also notify you by other means, such as sending an email or posting a notice on our home page. If required by applicable data protection laws, we will obtain your consent to any material changes. Please review this Privacy Policy periodically. Please also refer to our Terms and Conditions regarding the proper usage of the Site and Services. This Privacy Policy covers the following topics: Personal data We Collect How We Use Your Personal data How We Share Your Personal data Cookies and Other Tracking Technologies International Data Transfers “Do Not Track” Signals Third-Party Links Security Children’s Privacy Your Personal data and Your Rights –Europe and the United Kingdom Only How to Contact Us Use of Artificial Intelligence Claravine’s offices are located at 770 East Main Street #360 Lehi, Utah 84043. Claravine is the data controller of the personal data it collects through the Site and Services. This Privacy Policy does not apply to the extent we process personal... --- Thank you - we'll be in touch shortly. Get ready to solve these problems Assets can't be found Do you spend too many hours and too much money creating assets but teams can't find them? Poor page data breaking personalization Are your pages missing or misclassified, causing generic or inaccurate personalized experiences? Unable to measure content performance Creative asset performance is now critical for most organizations. Are you unable to measure what's working? Disconnected creative and operations teams Getting content to market quickly and at volume is necessary. Is content handoff from creative to ops teams broken? Integration Overview Are you ready to move faster, simplify collaboration, and better measure performance? Download the Adobe Experience Manager integration product sheet for an overview. Claravine_Adobe_Experience_Manager_Integration_0322. pdf The difference with data standards Speed up findability and prevent waste Have all the metadata you need on every asset so your team has what they need at their fingertips. The right experience at the right time Have pages that deliver exactly what you promise right when it's required. Find our what content works Measure every piece of content so you can justify and maximize investments. A united creative and operations process Ship your work quickly and without error. Everything works more smoothly when teams and in sync. Product News Improve asset discovery and content velocity. Whether you are trying to simply improve a content fragment’s metadata, or the underlying asset metadata itself, your data is up to your standards and ready to use. Read the... --- Claravine + Adobe Experience Manager Where to start Watch our quick explainer video and then go deeper on all the ways you can implement content standards and get more value from your Adobe Experience Manager data. https://claravine. wistia. com/medias/6y1mt0vtoi Get ready to solve these problems Assets can't be found Do you spend too many hours and too much money creating assets but teams can't find them? Poor page data breaking personalization Are your pages missing or misclassified, causing generic or inaccurate personalized experiences? Unable to measure content performance Creative asset performance is now critical for most organizations. Are you unable to measure what's working? Disconnected creative and operations teams Getting content to market quickly and at volume is necessary. Is content handoff from creative to ops teams broken? See a Walk-through The difference with data standards Speed up findability and prevent waste Have all the metadata you need on every asset so your team has what they need at their fingertips. The right experience at the right time Have pages that deliver exactly what you promise right when it's required. Find out what content works Measure every piece of content so you can justify and maximize investments. A united creative and operations process Ship your work quickly and without error. Everything works more smoothly when teams and in sync. Integration Overview Are you ready to move faster, simplify collaboration, and better measure performance? Download the Adobe Experience Manager integration product sheet for an overview. Claravine_Adobe_Experience_Manager_Integration_0322. pdf Product News Improve asset... --- Soon, Google will finally end its support of third party cookies and stop providing user data that 83% of marketers still depend on to measure campaign performance. Marketers need to leverage 3P-cookie-agnostic marketing measurement tactics to gain insight into their marketing activities — if they want to make fast, meaningful decisions from their data, that is. Here's how to create a post-cookie marketing measurement strategy so you can create more effective campaigns and get the most from your marketing dollars. First, we’ll review what marketing measurement is and why it’s essential. Next, we’ll share the key metrics marketers track and how to set the right ones for your campaigns. Then, we’ll explore how marketing measurement has evolved and share eight post-cookie marketing measurement tactics you can get started on today. And finally: how you can empower your entire tech stack to make the post-cookie shift seamlessly and holistically. What is Marketing Measurement? (and Why is it So Important? ) There are all sorts of ways to promote your products and services. You’re probably using multiple channels and marketing mix elements to reach your target audience such as programmatic ads, content marketing, social media marketing, QR codes, and influencer marketing, to name a few. While it’s important to promote product awareness and experiment with digital marketing trends, conversions are what count. And chances are, not all of your marketing campaigns are delivering. But it can be tough to differentiate between the winners and losers. That’s where marketing measurement comes in. It’s... --- Pricing that Scales with Your Needs Built to support your use cases. Easily evolve and scale as you create a common data language across your teams and tech - with no limit on users. --- Organizations like yours are awash in data, and with the post-cookie shift to first-party data collection, you have to manage even more of it. It’s an endless data sprawl that threatens the efficacy and profitability of your entire enterprise. Whether or not your company can harness the power of all that information will determine its success today, tomorrow, and months or years from now. According to Accenture, those enterprises that leverage their data effectively experience an average of 30% annual growth. But that kind of growth isn’t possible without data integrity, a hallmark of every data-driven organization. Here you’ll learn the concept of data integrity and why it’s so important. You’ll also be able to explain how data integrity is different from data security, data accuracy, and data quality. You can leave this page with an understanding of the factors that impact your data’s integrity — plus an 11-point checklist for implementing data integrity at your organization. What is Data Integrity? Data integrity ensures the value, usability, accuracy, and consistency of an organization’s data from its creation or acquisition through its analysis and observation, and on to its archival or destruction. Data with integrity is accurate, reliable, optimally stored, and standardized despite modification, transfer, or deletion. In other words, data integrity represents structural soundness — maintaining accuracy and completeness in both value and form — everywhere that data lives and flows. Why is Data Integrity Important? What are its Benefits? Data-driven organizations recognize data as an essential asset that can... --- Good metadata management is the key to addressing the challenges and seizing opportunities associated with the rise of big data, sprawl of data fabrics, and complexities of data governance. At its most basic level, metadata management organizes vast, growing data stores (both created and collected) and ensures every data asset is discoverable, measurable, and shareable across the enterprise. There are countless additional, far-reaching benefits of metadata management. We’re going to focus on how metadata management enables end-to-end measurement and how it can meet consumers’ increasing demands for personalized and curated content. Plus, how it achieves the sometimes insurmountable task of making reliable ROI insights and data-driven business decisions. But first, we’ll provide an introduction to metadata management — what it is, why organizations need it, why you need a tool, and best practices for implementation. You’ll also find videos featuring two data management experts — Chris Comstock and Nathan Woodman — to aid in understanding how the state of privacy, tracking, and data collection in 2022 requires a fresh approach to metadata management for reliable end-to-end measurement. So let’s get started. What is Metadata: Definition & Examples First, let’s define metadata. Metadata is the data that describes and gives context to an information asset. Like the “5 Ws and H” writing approach, metadata represents the who, what, where, when, why, and how about a digital asset. For example: Who created the asset? What is the business definition of the asset? Where is the asset stored? Why is it being stored?... --- Marketing Data Standards Platform Speak the same marketing data language, org-wide You can’t be data-driven if you don’t have data standards. Watch an overview Build the fields, lists, and values you need into templates for data input Tap into your org's data expertise globally, across teams, and between agencies Maintain core relationships between metadata across channels and tactics Take a proactive data approach as observation narrowsStandardize and control org-wide data attributes to advance how you understand what works — and doesn’t — across acquisition and retention, end to end. Create your source of truth, then deploy it far and wideTo trust your outputs, you have to control your inputs. The Data Standards Cloud helps you define and manage attributes and data relationships custom to your workflows and objectives. Spot data errors & gaps for easy campaign validationDefine and govern all the data you connect for simple review and validation. Quickly identify data issues and make sure every campaign is tracked right from the start, without disrupting your workflow. get better data Connect & control all your data for better results from every tool Previous Next Control your marketing data’s integrity at every source for maximum ROI across every tool, team, and channel. Be ready for the digital transformations of today and tomorrow. Need a custom API? No problem. Your trusted authority in marketing data standards "We had issues around data quality, getting the metadata into Adobe in a timely manner, and maintenance of the tool. Essentially all those problems were... --- To best prepare for our conversation, please answer the following questions: --- Organizations collect an obscene amount of data. However, between 60% and 73% of it goes unused for enterprise analytics. That’s a lot of untapped value. Although there’s plenty of technology to help leverage big data and costly data centers effectively, many organizations still consider data analytics a responsibility of IT. But to stay competitive, that mindset must change. Agile, data-driven enterprises have already embraced data democratization: the process that shifts responsibility for data analytics from IT to all users across the organization, regardless of their technical expertise. So if you haven’t democratized your enterprise data management strategy, now’s the time — because two-thirds (or more! ) of your data shouldn’t be going to waste! Once you get a grasp on data democratization, the solutions it poses to business and data management challenges are apparent. Yet it’s no walk in the park — you need to brace for potential barriers to adoption and keep up with the latest data-centric trends and tech. Along the way, it’s crucial to understand the importance of data governance and why you must have a data governance framework in place before democratizing your data. All of this below — plus a six-step roadmap to unlock the potential of (all) your enterprise data through data democratization. What is Data Democratization? Here’s, probably, your current situation: Traditional data management and data analytics operations require users to submit a request to IT for the information they need beyond regularly distributed reports. So, if a sales manager wanted to get... --- With enterprise data growing exponentially and GDPR enforcement fines increasing by 40% last year, it’s no wonder investing in data governance framework is an urgent strategic initiative for data-driven businesses. The data governance market is projected to be worth $5. 28 billion by 2026, up from $1. 81 billion in 2020. If you’ve yet to establish a data governance framework, now’s the time. Get started by understanding data governance frameworks, why data-driven businesses need them, challenges for adoption, and operational templates to consider. Make sure you also overcome any confusion between data management and data governance. We’ll cover all of that — plus, your next steps to achieving future-proof data governance that protects and drives revenue. What is a Data Governance Framework? To explain data governance frameworks, we must define data governance first. Data governance refers to how an organization leverages its people, processes, and technology to manage its internal data. A data governance framework or template is a specific set of principles and processes that defines how data is collected, stored, and used within an organization. With the proper framework in place, organizations can transform their data into a valuable, powerful asset that can be leveraged to meet — or exceed — the business’ goals and objectives. At a minimum, a data governance framework should establish the following policies for each data asset in the organization: Structure - Defines how data will be organized, retrieved, and stored Access - Designates which employees and third parties will have access to... --- An outdated definition of marketing operations may just refer to the management of the teams, tools, and projects that make up a marketing team. But we’ve entered a Golden Age of MarkOps in which technology and data take center stage. According to a 2020 Gartner survey, the management of MarTech, vendors, and research — in other words: data and the people, tools, and processes needed to extract value from it — are now top-line accountabilities for marketing operations leaders. Creative ideas, enormous personalities, and three-martini lunches characterized the Golden Age of Advertising. But as technology emerged in the early 2000s, it became clear that brands couldn’t rely solely on slick marketing glossies and catchy jingles to build awareness and drive revenue. The ability to collect, store, and analyze massive amounts of data marked the beginning of a new era, one that introduced an essential function within B2B marketing organizations — marketing operations. Like the “mad men” of advertising, a strong marketing ops team is vital to marketing’s success. It’s time to embrace marketing operations as a vehicle for massive business growth. To do that, we’ll help you understand what marketing operations entails, why it’s important, how to create a marketing operations strategy, and what the future holds for marketing operations professionals. We’ll wrap up by suggesting a few marketing operations thought leaders to follow. What is Marketing Operations? Marketing operations is a broad term used to describe the end-to-end management and optimization of a business’ marketing processes. Marketing operations professionals... --- Pick an choose what you want to stay informed about below: --- Support Policies and Service Level RequirementsThis support policy applies to the Services, including the software platform provided by Claravine (the “Platform”) under the Agreement, including any Claravine user interface and data feeds, as appropriate. Availability Uptime and Downtime. Claravine shall ensure that the Services are available 99. 95% of the time in a calendar month, excluding Excused Downtime (as defined below) (“Availability”). Excused Downtime shall include the following: Scheduled Maintenance as defined below Reasons of force majeure, as set forth in the Agreement Issues associated with your personal computers, networks or the Internet Your Internet Service Provider (ISP) connections Issues arising from your misuse of the Services Outages caused by third-party provided data and their supporting systemsTechnical Support: Claravine will provide you with access to a support contact for reporting of a failure of service levels and/or functionality of the Platform. In the event the availability or the functionality of the Platform is affected due to a software problem or outage, severity of problems will be classified according to the following descriptions and administered by Claravine’s support group:P0: The core Platform or critical features are not accessible causing an impact on service availability or a major security issue is discovered, and there is no Workaround. P1: Critical features are experiencing poor performance with a noticeable impact to customers or non-essential functions of the Platform are not accessible, and there is no Workaround. P2: A problem which causes difficulty in execution of a non-essential Platform function but overall the Platform is... --- Data Security Addendum This Data Security Addendum (“DSA”) is attached as Exhibit D to that certain Master Services Agreement by and between Claravine and Customer. Capitalized terms used herein without definition will have the meaning ascribed to them in the Agreement. If there is a conflict between terms in this DSA and the Agreement, the terms of this DSA shall prevail. 1. Scope. To the extent Claravine may operate or be given access to Customer Systems, or Customer Facilities, or Process Customer Data, Personal Information, or Confidential Information due to the Services provided by Claravine, Claravine must comply with this DSA and any applicable security policies and/or procedures as provided and/or communicated by Customer to Claravine. The requirements of this DSA shall also apply to Claravine Systems and Claravine Facilities where such Claravine Systems and Claravine Facilities are used to collect, store, handle, Process, backup, dispose, and/or access Customer Data. Claravine shall not use any Customer Data for any reason other than providing the Services or as otherwise provided in the Agreement. 2. Data Security Program, Policy and Controls. Claravine and Claravine Personnel shall not access or Process and shall not permit unauthorized persons or entities within its control to access or Process, Customer Assets. Any actual or attempted access by Claravine Personnel must be consistent with their role and a legitimate need for such access. Claravine shall establish and, at all times during the Term of the Agreement, maintain physical, electronic and organizational security measures that are risk-based and... --- Termination and Transition Procedures Upon termination of this Agreement for any reason other than termination by Claravine pursuant to Section 6. 2(b), upon request of Customer, Claravine shall reasonably cooperate with Customer for a period of 30 days after termination to assist Customer in transferring Customer Data in a format that is standard in the industry subject to the following terms and conditions: Customer shall pay Claravine’s customary hourly charges for this assistance. The assistance shall be rendered only after (i) Claravine estimates the charges that will be payable for the assistance and (ii) Customer pays the full amount of these estimated charges in advance. Actual charges will be reconciled and invoiced upon completion of the data migration services. Claravine’s duty to provide data migration assistance shall cease 15 days after termination of the Agreement if Customer has not requested data migration assistance prior to such date. Customer acknowledges that if it does not take action to accomplish the transfer, Customer Data may no longer be accessible or available. Unless specified in a Service Order, the foregoing is Claravine’s sole duty in regard to Customer Data upon termination of the Agreement or any Service Order. Claravine has no obligation to provide Customer with any other data, information, results, content or Claravine generated materials, whether or not incorporated into any media or other material that has been produced for Customer during the term of the Agreement. Customer acknowledges that except as set forth herein, (i) Claravine has no obligation to retain... --- AdAge & Claravine: How digital marketers can win today by preparing for tomorrow Ready to address the sea of digital advertising changes happening right now? Hear from industry experts from both agencies and brands on how they are creating immediate and lasting change in their digital advertising practice so that whatever the future holds, they’ll have a competitive edge. Presented on AdAge by Claravine on July 27th, 2021. Learn how Claravine's technology can help you with the future of digital advertising --- Find out what Claravine can do for you Are you ready to:Standardize naming across content & campaignsCreate cleaner marketing metadata Improve your campaign tracking globallyAlign everyone to create clean and uniform dataSpeed up media and ad opsEnrich data for better personalization and insights See why a quarter of the Fortune 100 (and more) choose Claravine to solve their most pressing data challenges. --- Claravine_Guide_TrackingCodeStructures_0521__1_-1 --- Are you trying to solve any of these challenges? Manage metadata for campaigns, content, product catalogs or other marketing-related data Taxonomy implementation buy-in, including standardizing naming conventions across content and campaigns Enrich your digital platforms for better personalization and insights Going through a digital transformation and not sure where to begin Unite disparate internal and external teams/agencies around creating clean and uniform data Build an improved and standardized process in your digital advertising/media operations If any of these issues are important to you, Claravine’s platform can help. Get More From Your Content Learn how Claravine helps transform your content management process to allow for marketing agility and data quality across your entire organization. Expert advice on content management Here are some of our latest articles on the importance of campaign tracking and implementing best practices: Listen to the experts Strategic_Guide_to_DAM_Metadata_FINCLVeBOOK_FIN-1 How the top companies do it caseStudy_top50manufacturer Claravine is trusted by top brands Previous Next --- Data Integrity Blog Learn how to create data integrity throughout your organization. Ready to take control of your data? Let’s talk about your data integrity goals and how The Data Standards Cloud™ can elevate your marketing. GET IN TOUCH --- Company News Learn more about how Claravine is creating data integrity for top global brands. Ready to take control of your data? Let’s talk about your data integrity goals and how The Data Standards Cloud™ can elevate your marketing. GET IN TOUCH --- Contact Claravine Where to find us? Everywhere! (We're a remote team)But if you need to mail something cool like hoodies or drinkware, start here: Claravine770 E. Main Street #360Lehi, Utah 84043 --- Adobe Partner Showcase Presentation Learn More About Claravine Connect data across every --- Your request was not received Please try again Due to spam, we do not accept submissions from free ISP email addresses. Please use a business email address to reach us. Thanks! Why Claravine Claravine is a leading data platform that helps standardize, govern, and connect data across every team, system, and channel. Hundreds of top brands use Claravine to centralize their content and campaign data structures, governing the process to generate, validate, and connect data. This ensures consistent standards and optimal digital experiences across the enterprise. As a result, companies have richer analytic insights, better experiences, and increased ROI from their marketing and advertising investments. --- The process to manage and enforce consistent tracking of campaigns is broken. Analytics teams often rely on static spreadsheets, homegrown solutions, and manual processes to generate and manage tracking codes meant for agencies and marketing teams. Unfortunately, the common processes don’t have a built-in means to easily and reliably validate that tracking is applied correctly, or that analytics tags are configured appropriately on landing pages. With little enforcement and highly static tools, tracking standards are rarely enforced, and data flows in silos (or in many cases not at all). As a result, the business absorbs the negative impact on reporting, attribution models, and your greater marketing engine. However, progressive analytics teams are solving this challenge by employing an automated, governed approach to defining and enforcing tracking standards across the organization. This guide elaborates on each core part of this process: Aligning your tracking taxonomy Governing the process to generate, implement, and validate tracking Connecting and enrich your data Driving business results with richer insights --- Claravine-Stop-Tracking-Code-Chaos --- Your request was not received. We apologize but due to spam, we do not accept submissions from free ISP email addresses. Please try again below with a business email address. Get started with Claravine --- Education Center Resources to help you standardize, govern, and connect data across all of your teams, systems, and channels. In our featured guide, we walk you through: Critical steps when building out your marketing taxonomy The importance of metadata in your marketing ecosystem Questions and considerations you need to make when building out an enterprise-wide marketing taxonomy Other helpful tips to make the process smooth and successful Examples of marketing taxonomies for a variety of industries Get the Guide How-To Guides Global Brand Case Studies Expert Discussions: Videos On Demand Data Integrity Resources --- Campaign tracking doesn't have to be so difficult Watch this 15 minute video to learn best practices on campaign tracking and stop worrying about missing data and reports you can't trust. https://claravine. wistia. com/medias/118q49xkvs Learn how Claravine helps transform your entire campaign tracking process: Give everyone the data they need to make faster and more accurate data-driven decisions, while ensuring your campaign data is finally consistent everywhere it lives. Whether it's paid social, social, email marketing, display ads and more - do your campaign tracking links right. How it works Fix missing tracking code parameters and inconsistent values Define your elements (fields, patterns, lists, taxonomy) in a central place. Then bring them to life in templates - customized to each team, use case, channel. As people enter data into required fields, it's validated or flagged if missing or inconsistent Once ready, your tracking links are ready to go. Build consistent links at scale Not only can you build consistent and accurate links - you can do it at volume. Our simple interface gives you the ability to control all the fields you need to create unique tracking links for each row. Give customized access to each team to build just the links they need - sharing data where needed and unique data when only required for that channel. Hide (but keep) the details you need in a tracking link Configure your tracking links to hide the details of your campaign. When the code is created you can still capture any... --- We're glad that marketing data matters to you. Thanks for signing up - our wheels are already turning on how we can help you. --- Enterprise Guide to Metadata Management We've put together this in-depth resource center with expert articles and videos that will help guide you in your metadata research. Metadata professionals have assisted in the creation of all of this content and we hope you find it useful! Articles Here are some of our latest articles on the importance of metadata and implementing best practices: Videos and Guides The content below is in-depth education on creating and using taxonomies, sometimes referred to as information layers or common data models. Understanding these will aid in your use and optimization of metadata: Strategic_Guide_to_DAM_Metadata_FIN Case Study caseStudy_nike_v14 Are you trying to solve any of these challenges? Manage metadata for campaigns, content, product catalogs or other marketing-related data Taxonomy implementation buy-in, including standardizing naming conventions across content and campaigns Enrich your digital platforms for better personalization and insights Going through a digital transformation and not sure where to begin Unite disparate internal and external teams/agencies around creating clean and uniform data Build an improved and standardized process in your digital advertising/media operations If any of these issues are important to you, Claravine’s platform can help. Trusted by top companies Previous Next --- Thank you for requesting this guide. It's embedded below and available to download, too. Strategic_Guide_to_DAM_Metadata_FIN --- In this guide, you'll learn: 5 areas where missing metadata is detrimental to your marketing and sales efforts 3 obstacles an organization faces creating and managing metadata 6 practical applications and examples for your DAM metadata Let us know if any questions come up! Download Guide Additional Resources --- Bottom Line: Building a business case for consolidating taxonomies to create a unified marketing data management practice is essential for marketing to deliver personalization at scale and accurately measure marketing campaign ROI. Marketing’s Most Costly Challenge Is Data Consistency One of the most challenging paradoxes all marketers face today is achieving data consistency across the many diverse areas of a given marketing campaign. Of the many aspects of a successful campaign, the four areas of campaign, content, coupons, and product catalogs have unique metadata definitions that often causes confusion across marketing organizations, stifling marketing strategies from reaching their full potential. There is lots of other data that needs management and governance: customer data, audience data, first-party data and so on - there is metadata associated to every kind of data record that exists in a marketing organization. Today, all marketers need to deliver measurable results to keep the budgets they have or to grow them in the future. When there’s no consistency in how metadata elements in campaigns, content, coupons, and catalogs are defined and implemented, marketing’s results are only partially correct. Signs that a marketing department is struggling to get metadata right and needs to consider a unified data marketing governance practice include the following: So many conflicting, confusing taxonomies and names that members of the marketing teams have no choice to create new ones for their integrated marketing campaigns in progress. What makes matters worse from an accuracy and productivity perspective is the many taxonomies marketing organizations rely... --- Data privacy is not a new topic, although it certainly has taken center stage in recent years. In fact, data privacy laws date back as early as the 1970’s before computers and the internet were commonplace things. Government Databases Under Scrutiny In 1974, the US Privacy Act was passed in response to how the use of government databases may impact the privacy rights of private citizens. Computerized databases were widely used by the government and other large entities before computers with their own internal databases were developed. Public Law 93-579 required government agencies to disclose any records that were being maintained on an individual upon request. The law also required such agencies to use "fair information practices" when gathering and handling personal data. The Privacy Act also zeroed in on how an individual’s information could be transferred or shared to other agencies by implementing certain restrictions. Finally the act opened the window for individuals to sue the government if it was proven that the law’s provisions had been violated. Health Information Security Regulations The next big shift in data privacy came in 1996, with the Health Insurance Portability and Accountability Act, more commonly known as HIPAA. Most everyone is familiar with HIPAA, because it seems every time you visit a doctor’s office, you are required to fill out a new form. A large part of HIPAA legislation was actually designed to regulate the health insurance industry. However, the law also included important sections related to the privacy and security of... --- Powering Digital Transformation Webinar Replay Learn More --- Tracking_Code_Success_eBook --- Digital_Analytics_Data_Enrichment_eBook-2 Download the eBook to your device. --- Thank you for your interest in the Claravine and Bitly integration. Here's a PDF that explains a bit more about the Bitly / Claravine Integration. When you're ready for a discussion on how to get the most out of this integration, please complete the form on the right and we'll be in touch to assist. --- Join us as analytics expert, Anne Saylor, shares the steps your team can take to drastically reduce time spent tracking media campaigns using automated data governance. Anne will show you how to pull data from Facebook Ads Manager and Google Marketing Platform, automatically append data to URLs, as well as send detailed campaign data from Facebook, Google, and other platforms to classifications within Adobe Analytics, or custom fields in Google Analytics. In this presentation, you will learn: Common roadblocks to effective social media and display analytics Steps to automate data governance for these channels How these steps should translate to richer analytics and improved productivity Watch the Presentation --- --- ## Posts - Categories: Blog, Product Updates If your data feels like it lives on a collection of isolated islands, you are not alone. Many teams work across separate templates and rely on complex workarounds just to connect the dots between related datasets. It is time-consuming, frustrating, and makes it nearly impossible to see the full picture of how your data relates across workflows. That is exactly the problem we set out to solve with Data Relationships. What Are Data Relationships? Data Relationships give administrators the ability to connect up to 8 templates based on shared values. For example, you can use a shared Campaign ID to link an Ad Set directly to a Campaign, creating a clear, traceable connection between related data points. The feature introduces a new object called a View. Think of a View as a bridge that ties your separate workflows into one cohesive ecosystem. Importantly, this new layer of connectivity sits on top of your existing setup. It does not change or disrupt the template behavior your teams already depend on. 3 Three Reasons Your Team Will Love It Setting up a View unlocks meaningful benefits right away. Seamless Navigation. Jump directly between connected datasets within any View the dataset is in. No more hunting through separate files or toggling between tabs to find what you need. Streamlined Exports. Analytics teams can export related data in a single batch, simplifying downstream reporting. Each column header in an export includes the template name followed by the field name, so there is never any... --- - Categories: Blog, Campaign Tracking, Data Governance, Media / Ad Ops It's a familiar Monday morning for many ops managers. The performance team rolled out a new naming structure last week, so last quarter's pacing report won't reconcile with it. The channels are the same, but the labels aren't, and the taxonomy that took six months to design is suddenly running in two versions side by side. This is the third time in two years that something like this has happened. It's also pretty much universal once a company scales marketing past a handful of channels. The taxonomy looks great in the deck, holds up through the rollout, and then quietly starts breaking eighteen months later when nobody's looking. The thing is, the taxonomy itself usually isn't what failed. What failed was the assumption underneath it. Why most rebuilds don't actually fix the problem Most marketing taxonomies are designed around what the business looks like the day they're built — the channels in flight, the agency mix on retainer, the team structure on the org chart. None of those things hold still for long. A new platform launches, a team gets reorganized, an acquisition adds a vertical nobody planned for, and within a year and a half, the original taxonomy is actively fighting the business it was supposed to support. When teams rebuild, the prevailing theory is that they picked the wrong categories last time and that this round will be different. But categories rarely fail because someone chose poorly. They fail because the structure was rigid where it needed to... --- - Categories: Blog, Campaign Tracking, Data Governance, Media / Ad Ops It's Tuesday morning, and the CMO needs a number for the board meeting. The retail marketing director pulls up the dashboard and sees three different sales figures for the same Mother's Day campaign. The display team logged it as MothersDay_2026. Paid social tagged it MothersDay-Promo-Q2. The email called it MD26_Promo. Three names. One campaign. No clean way to roll it up. By 4 p. m. an analyst will hand-stitch the report in a spreadsheet. By Friday, three people will quietly disagree about what the campaign actually returned. This is the daily reality inside most retail marketing organizations. And it has very little to do with the tools. The problem isn't the dashboard Retail marketers are running more campaigns, across more channels, at higher velocity than any other category. A single SKU can move through paid search, retail media networks, in-store digital, email, social, affiliates, and partner co-op in the same week. Each surface has its own taxonomy. Each agency uses its own naming convention. Each platform has its own ID structure. The dashboard is just the place where all that mismatched data finally gets seen. The real problem happened weeks earlier, when somebody opened a campaign brief in Excel and typed a label that nobody else was using. When the data fails, the failure was upstream. The dashboard is just where you saw it. What's actually missing Walk into a retail marketing operation, and you'll find dozens of taxonomies. Some are documented. Most are tribal knowledge. The senior media planner... --- - Categories: Blog, Campaign Tracking, Product Updates A media buyer wrapping up a Meta campaign on a Thursday afternoon glances at the campaign name, decides the naming convention looks close enough, and hits publish. By the following Tuesday, the analytics team has flagged it: the campaign name does not match the taxonomy, which means reporting downstream is about to break. From there, somebody has to choose between pausing a live campaign to fix the name (and losing pacing in the process) or leaving the data incorrect and patching it on the back end. Both options cost money, and both are happening right now across dozens of accounts inside the same enterprise. Closing the Gap with Claravine and the Chrome Extension This is the gap that taxonomy governance has never quite been able to close, because the rules and the campaigns live in two different places. Standards documents sit in Confluence, training decks sit in Slack, and the actual campaigns are built in Meta Ads Manager, TikTok Ads Manager, or Google Campaign Manager 360, where none of those rules are visible at the point of entry. This is where Claravine comes in. Claravine is where your taxonomy, metadata, and validated field values actually live, governed in one place and maintained as a single source of truth across every team and channel. Without that foundation, there is nothing to enforce. The Chrome Extension is what carries that foundation out into the platforms where campaigns are built. It pulls the metadata, fields, and controlled vocabulary directly from Claravine and applies... --- - Categories: Blog, Content Management, Data Governance It's Tuesday morning, and your ops lead pulls the Q1 paid media report only to find that three campaigns appear to be missing. They're not actually missing. They're sitting under a different naming convention, in a different folder, owned by a different team, and by the time anyone notices the discrepancy, the executive review starts in two hours. Does this sound familiar? This is a language problem, and it's costing your team hours every week. The Same Channel, Three Names, No Shared Truth One team calls it Social_Paid, another calls it Paid_Social, and a third calls it paid-social. Three regions, three brand teams, three agencies, all writing the same thing in subtly different ways. Each name looks fine in isolation, but none of them roll up. The result is a media report that takes a week to produce because half the work is reconciling names that should already match. Your analysts aren't analyzing, they're translating. When the data shows up named three different ways, the work isn't reporting. It's interpretation. This is what happens when naming conventions live in a Confluence page nobody reads, or in a Google Doc someone wrote two years ago, or only in the head of the senior ops manager who left in February. The convention exists. The enforcement does not. What's Actually Missing A naming convention isn't a document. It's a system. Most organizations don't have the system. They have the document. The system is the part that makes the convention enforceable at the moment... --- - Categories: Analytics, Blog, Campaign Tracking Your marketing attribution data shows paid social drove 32% of the pipeline last quarter, and when the CFO asks how, you open the source data expecting an easy answer. Instead, three things hit at once: campaign naming changed mid-quarter, two regions used different UTM patterns, and one team renamed "Paid_Social" to "Social_Paid" in March. The number you reported is, at best, an educated guess. You have already tried most of the obvious fixes. You've changed attribution platforms, hired a new analyst, and built a third dashboard on top of the other two, and yet the reports still do not add up. The real source is not the platform Attribution platforms catch a lot of blame. Some of it is fair. Most of them are over-engineered for what marketing teams actually need from them. But the harder problem usually arrives long before the platform does any math on it. It is the data itself. Attribution does not fail at the platform layer. It fails upstream, in the messy minute a campaign gets named, tagged, and pushed live. When campaign metadata arrives inconsistent at the point of creation, one team writes "google_search_q1" and another writes "Q1_Google_Search. " No attribution tool can reconcile that downstream without a person cleaning the data first. Multiply the cleanup across hundreds of campaigns and dozens of regions, and a quarter of every analyst's week disappears into reconciliation work no one ever asked for. What's actually missing Most teams do not have a shared definition of what a... --- - Categories: Blog, Data Governance Why enterprise marketing teams serious about data standards choose a purpose-built governance platform over a bundled analytics feature. The short answer Claravine is a dedicated marketing data standards platform, purpose-built for enterprise governance at the point of data creation. It's the platform enterprise brands and a quarter of the Fortune 100 uses to define, enforce, and govern marketing taxonomies across every team, region, and agency in their marketing organization. Improvado is a marketing analytics platform that has added some governance features. The two tools come up in the same conversations, but they're solving different problems. If the goal is reporting and dashboards, Improvado is a reasonable fit. If the goal is governing the data itself — pulling from the disparate systems your teams already use, applying consistent standards, and feeding clean data into whatever reporting stack you've built — that's what Claravine was built to do. Why Claravine exists Most marketing data problems do not start in the reporting layer. They start the moment a campaign is named, tagged, and pushed live, and by the time inconsistent data arrives on a dashboard, reconciliation is already expensive. Claravine governs the creation moment. Standards get enforced where campaigns are actually built: inside Meta Ads Manager, Google Campaign Manager 360, and the other platforms marketing teams live in every day. Required metadata is mandatory at entry, not optional to skip when teams are moving fast. Naming conventions get applied automatically, not audited two months later. Taxonomy rules reflect real enterprise business logic, not... --- - Categories: AI, Blog, Campaign Tracking The demo looked great. The AI tool surfaced audience segments your team had never considered, generated copy variations in seconds, and basically sold itself in the executive presentation. You bought it. Six months later, the outputs are off. The segments do not match what your media team is actually running. The personalization engine keeps serving generic messages to high-value accounts. Your data team spent most of last quarter cleaning up AI-generated metadata before anything could go anywhere useful. The tool did not fail. Your data did. This is what happens when an AI investment lands in an environment without AI ready marketing data underneath it. The model is doing exactly what it was built to do. The inputs were never set up to support it. The problem is not the AI Most marketing AI tools do not process language or make creative leaps. They process structured data: campaign IDs, channel labels, audience attributes, UTM parameters, content tags. Whatever you feed them is what they learn from and what they act on. If that metadata is inconsistent, incomplete, or named differently across teams, the AI has no way to know. It will try to make sense of it anyway. The output will look reasonable while being systematically wrong. AI does not fix your data problems. It amplifies them. A spreadsheet with inconsistent campaign naming is annoying. The same inconsistency processed by an agent making thousands of decisions per hour is a much bigger problem, and one that gets harder to trace... --- - Categories: Blog, Data Governance How Claravine Compares to Customer Data Platforms (CDPs) One of the questions we get most often: how does Claravine compare to a CDP like Twilio Segment, Salesforce Data 360, or Adobe Real-Time CDP? That's a fair question, and the honest answer is that we don't really compete with CDPs. We feed them. Here's the longer version. First, what is a CDP? Customer Data Platforms have been hot for the better part of a decade. The category is mature, but the label still gets stretched to cover a lot of different architectures. Here's a working definition: software that pulls customer data from multiple sources to build a unified, persistent customer profile, then activates that profile across other tools. Gartner's bar is four capabilities: collect customer data, manage unified customer profiles, activate those profiles into downstream tools, and report on them. The 2026 Magic Quadrant added a newer expectation on top of that: packaged AI agents that can make decisions and take action on their own. The category has shifted a lot in the last two years: Salesforce Data 360 (formerly Data Cloud) is the clear #1. Oracle Unity, Hightouch, and Uniphore (the renamed ActionIQ) joined Salesforce as Leaders in the 2026 Gartner Magic Quadrant. Adobe Real-Time CDP is the sole Visionary. Tealium and Treasure Data dropped to Challengers. Twilio Segment, BlueConic, and Amperity sit in Niche Players. mParticle, Redpoint, and Zeta Global fell off the quadrant entirely. So Segment is still very much a thing. It's just no longer the default... --- - Categories: Blog, Taxonomy & Metadata You have probably never used the word "taxonomy" in casual conversation. But you have almost certainly felt the consequences of not having one: last-minute manual data cleanup, reporting that does not add up, a campaign you cannot measure because no one tagged it consistently. That is what a broken or missing taxonomy looks like in practice. Marketing taxonomies do not get much airtime outside marketing ops circles, and they probably should. Whether or not anyone at your company has given the work a name, the work is still happening — usually badly, usually after the fact, and usually at the cost of someone's evening or quarterly reporting deadline. Here is a better way to think about taxonomy work, and a framework for building one that actually lasts. We are building a house for data A marketing taxonomy is, structurally, a house. You build houses for people. Claravine builds houses for data. The processes match up almost step for step: planning before breaking ground, multiple stakeholders with competing opinions, inspections at every stage, and a foundation that determines whether everything else holds. Get the foundation of a house wrong, and the structure won't last. Get the foundation wrong on your data, and you are cleaning up the mess indefinitely. That is more than an analogy. It is the reality of what happens downstream when taxonomy is treated as an afterthought. What a marketing taxonomy actually is A marketing taxonomy is the process of defining, governing, and standardizing the set of elements... --- - Categories: Blog, Campaign Tracking, Taxonomy & Metadata Most teams have replaced the tool at least once when facing marketing data quality problems. New analytics platform, new attribution system, new dashboard. The assumption is straightforward: if the output is wrong, something in the stack must be wrong. Sometimes that's true. More often, the problem wasn't created in the stack; it arrived there. Data quality breaks at the point of creation. A campaign gets built in a platform, a UTM gets typed by hand, a metadata field gets skipped because the launch is in two hours. Those small, distributed decisions accumulate. By the time the data surfaces in a report, there's no clean way to trace the original error, and no clean way to fix it without starting over. The layer that got left out Most data governance conversations start too late. They focus on transformation and cleaning, on how data moves through the warehouse. The layer that gets skipped is the one at the very beginning: what standards exist for the data before it's created? Not every field needs a taxonomy. But the ones that matter for reporting do. Campaign type. Channel. Region. Creative variant. When different teams enter these differently — "Brand_Paid_Social" and "Paid Social Brand" both live in the same dataset — the downstream output splits across those differences. The analyst either reconciles it manually every time or presents a report with gaps that no one can fully explain. This isn't a data engineering problem. It's a coordination problem that looks like a data engineering problem... --- - Categories: Blog, Taxonomy & Metadata Data discovery is the process of finding, understanding, and making sense of data across systems so teams can actually use it. Simple enough as a definition. But what data discovery means, and where it happens in your workflow, depends entirely on who's doing it and what they're trying to solve. For IT teams and data engineers, it usually means scanning existing databases for sensitive files, cataloging a data lake, or identifying compliance gaps. That's a legitimate and important use of the term. It's also not what marketing teams need. But what about the other kind of data discovery: the kind that happens before campaigns launch, before assets go live, before reporting is broken and the post-mortem begins? You need to deal with that kind, right? The kind that makes the mess preventable in the first place. Why Does Data Discovery Matter? Bad data doesn't announce itself. It shows up later, when campaign attribution is wrong, when two teams are measuring the same thing differently, or when your reporting tool is pulling in values that were never standardized to begin with. By the time you're digging through tracking parameters to figure out why Q3 numbers don't add up, the damage is already done. You're doing archaeology on data that should have been built correctly from the start. Why does data discovery matter? Because the cost of not knowing what your data is, where it came from, whether it follows a standard, whether it connects across channels will be paid in bad... --- - Categories: Blog, Data Governance, Taxonomy & Metadata You have more data than ever, and you trust it less than ever. If that sounds familiar, you are not dealing with a reporting problem or a tooling problem. You are dealing with a data integrity problem. Most marketing teams hit this wall quietly. The dashboards look fine. The reports go out every week. But somewhere in the background, people are having side conversations about which number is right, manually cleaning spreadsheets before the quarterly business reviews, and quietly distrusting the attribution model they spent six months implementing. That erosion of trust is expensive, and it is almost always upstream of where people think to look. What Data Integrity Actually Means for Marketers A quick note before we go further: if you searched for "data integrity" expecting a deep dive on SQL constraints and database architecture, this is a different conversation. We are talking about marketing data integrity: the accuracy, consistency, and completeness of your campaign metadata, tracking codes, and taxonomy from the moment they are created. Data integrity is the practice of ensuring data is right at the source. It is proactive. It is about building the standards and guardrails that prevent bad data from entering your systems in the first place. That is different from data quality, which is more reactive. Data quality is what you do after something breaks: scrubbing spreadsheets, correcting broken UTMs, tagging the assets that got uploaded without metadata. It is necessary work, but it is treating symptoms instead of causes. A simple way... --- - Categories: Blog, Media / Ad Ops Programmatic Advertising: What It Is, What's Changed, and Where the Real Friction Sits There was a time when buying an ad on a website meant picking up the phone, working out a deal, and hoping the publisher actually placed it. If programmatic hadn't taken over, that's still how this would work. Thankfully, it doesn't. Today, programmatic accounts for roughly 90% of digital display spend, and US programmatic display alone is projected to top $203 billion. The mechanics are mature. The challenges have shifted. Here's where programmatic stands now, what's actually working, and where the real friction sits. What is Programmatic Advertising? Programmatic advertising is the use of technology to buy and sell digital ads automatically, in real time. When a page loads, information about the impression and the user is passed to an ad exchange, which auctions it off. The advertiser willing to pay the most wins, and the ad serves. All of it happens in milliseconds. Step by step: A user loads a page, app, or streaming service The publisher offers the impression through a Supply-Side Platform (SSP) Advertisers bid through a Demand-Side Platform (DSP) The highest bidder wins The ad serves That's the basic loop. What's changed is everything around it. What Has Changed Recently in Programmatic Advertising A decade ago, programmatic was mostly centered around display banners. Today, it spans Connected TV, digital out-of-home, audio, in-app, and retail media. CTV is the biggest story: streaming has officially overtaken linear, broadcast, and cable combined for the first time,... --- - Categories: Blog, Content Management, Data Governance, Generative AI, Taxonomy & Metadata Your team celebrated when the AI platform contract was signed. Six months later, leadership is asking uncomfortable questions: "Why is it so hard to track down all the needed assets? Why can't we fully trust the campaign performance data? " You know the answer, even if you haven't said it out loud yet. The AI isn't the problem — your data is. Picture this: Your paid media team tags campaigns as "2025_Q4_Brand_Awareness_Meta. " Meanwhile, your content team labels the same initiative "Q4 Brand Campaign - Facebook. " Your analytics platform registers them as separate campaigns. Your newly purchased AI tool dutifully analyzes both, producing two conflicting performance reports that your CMO now questions in front of the executive team. This isn't a hypothetical. It's happening in marketing organizations right now, including ones with sophisticated AI investments. When UTM parameters don't align across teams, campaign naming conventions contradict one another, and content attributes lack a standardized taxonomy, even the most sophisticated AI platform will generate unreliable insights. Some call these "hallucinations. " We call it what it really is: metadata debt. Metadata debt is the compounding cost of unstandardized data that accumulates with every campaign you launch. It's the hours your team spends reconciling spreadsheets instead of analyzing performance. It's the executive trust you lose when your AI dashboard shows conflicting numbers. It's the ROI you can't prove because your data doesn't connect. The solution isn't a better AI platform. It's AI-ready data. AI is working exactly as designed; it's just... --- - Categories: Blog, Product Updates The start of a new year brings powerful new capabilities to help marketing teams work smarter, faster, and with more control. Our Q4 2025 and January 2026 releases focus on marketing data integration management, providing admins with better visibility, greater flexibility, and tighter control across their entire data ecosystem. These updates address some of the most common customer requests: improved audit trails for automated processes, greater control over when data syncs occur, and streamlined workflows that eliminate unnecessary clicks. Whether you're managing complex integration ecosystems or refining how your team interacts with pending submissions, these releases are designed to save time and reduce friction. Integration Activity Log: Complete Audit History at Your Fingertips Keeping track of what's happening behind the scenes with your integrations just got easier. The new Integration Activity Log provides admins with a centralized view of all automated sync events performed by Claravine. For teams managing multiple integrations across platforms like Google Ads, Meta, Kochava, and The Trade Desk, understanding what happened, when it happened, and whether it succeeded is critical. Previously, troubleshooting integration issues meant piecing together information from multiple sources or contacting support. The Integration Activity Log shows you exactly when automated syncs ran, what data moved, and whether any errors occurred. This visibility is essential for maintaining confidence in your automated workflows. You can audit automated account syncs, quickly spot sync errors before they cascade into larger issues, and confirm that your integration automation is running exactly as expected. This is especially valuable for... --- - Categories: Analytics, Blog, Campaign Tracking, Content Management, Data Governance, Generative AI, Taxonomy & Metadata For many marketers, the phrase "data governance standards" sounds like a corporate roadblock; something designed to slow you down with red tape. But for Marketing Operations leaders, the reality is the exact opposite. A lack of standards is actually what slows you down. It shows up as broken tracking links, hours spent cleaning spreadsheets, mismatched campaign names in your analytics, and the inability to trust your own ROI reports. In 2026, standards are no longer just about "keeping the house clean. " They are the prerequisite for speed. You cannot automate (and you certainly cannot leverage AI) if your data foundation is chaotic and messy. Here is how to define marketing data governance standards that actually drive performance, without getting bogged down in unnecessary technical bureaucracy. What Are Data Governance Standards in a Marketing Context? Forget complex IT-driven definitions. For a marketing team, a data governance standard is simply the agreed-upon "Source of Truth" for your data inputs. It is the rulebook that dictates how campaigns, assets, and tracking codes are created and managed. It answers the operational questions that plague teams daily: "How do we name this new creative asset? " "What is the required format for a date field? " "Which specific dropdown values are allowed for 'Channel'? " When you lack these standards, you end up in spreadsheet purgatory: a fragmented reality where Social_Paid, Paid-Social, and FB_Ads all refer to the same thing, but look like three different channels in your reporting. The 3 Key Standards That... --- - Categories: Analytics, Blog, Campaign Tracking, Content Management, Data Governance, Generative AI, Partners, Taxonomy & Metadata When marketing teams build their content supply chain, a common question arises: How does a metadata governance solution like Claravine fit alongside Adobe Experience Manager (AEM)? The key insight is simple: Claravine and AEM are not competitors; we are strategic partners. While AEM excels at managing the content (the assets), Claravine ensures the data about the content (the metadata) is clean, consistent, and actionable. Forward-thinking organizations understand that modern marketing requires more than just asset storage — it demands metadata governance. Asset Management vs. Metadata Governance: The Fundamental Difference Adobe Experience Manager (AEM Assets) is a comprehensive Digital Asset Management (DAM) platform that shines at managing the asset lifecycle: Centralized Storage and Management for images, videos, and creative files. Creative Workflow Integration with Adobe Creative Cloud. Content Fragment Management for omnichannel experiences. Even the most robust DAM platforms, such as AEM, require a dedicated layer of metadata governance to maintain effectiveness at an enterprise scale. A key challenge is inconsistent taxonomy application, where different teams apply tags and metadata inconsistently, severely hindering content findability and asset reuse. Furthermore, metadata quality struggles at scale because manual processes fail when asset libraries swell to hundreds of thousands of items, leading to data decay. Consistency is lost due to cross-platform discrepancies, as metadata context often gets lost when assets are moved from AEM into analytics systems, such as Adobe Analytics, or downstream activation platforms. Marketers require a sophisticated rule engine to automatically enforce complex, enterprise-wide business standards and validation rules necessary for modern,... --- - Categories: Blog, Media / Ad Ops A website isn’t a static brochure — or at least it shouldn’t be. Your site should provide a dynamic, user-friendly, personalized experience for your visitors. Of course, you need to store and leverage data to do that. And you’ll need query string parameters to access that data to provide a specific result or experience for a user. Query strings are generated through a search within a webpage, form submission, or typing a query into the browser’s address bar. You can also create your own query strings to support your digital marketing efforts. We’re going to define query strings further and share specific ways you can leverage them. What is a Query String? A query string is a set of characters tacked onto the end of a URL. The query string begins after the question mark (? ) and can include one or more parameters. Each parameter is represented by a unique key-value pair or a set of two linked data items. An equals sign (=) separates each key and value. An ampersand (&) separates multiple parameters. Here’s an example of a URL with a query string including three parameters. https://www. tech. com/search? query=database+tools&star_rating=4&order=alphabetical Why Are Query Strings Important? Query strings are essential for a few reasons. They pass information to the web server, telling it what content to deliver or action to take. They also pass information to other applications, improving the user experience (UX) and satisfying other business objectives. They are important from a marketing perspective, too — tracking... --- - Categories: Blog, Campaign Tracking, Data Governance, Generative AI, Taxonomy & Metadata In the rapidly growing world of Generative AI (GenAI), the efficiency and effectiveness of your marketing efforts are essential; they are key to success. As data volume and complexity increase across numerous customer touchpoints, the gap between creative production and performance analytics widens, creating a challenge for marketing teams. Assets are launched, but the crucial chain of custody breaks when trying to measure actual ROI. This is why your GenAI strategy will fail without an AI-Ready Data Layer. You can't build impressive AI "skyscrapers" on a foundation of unstable data. The main issue? Fragmented and inconsistent metadata at the base. Claravine’s Content ID system is the essential innovation that addresses this problem today. It serves as the cornerstone of an AI-Ready Infrastructure, providing Asset Lineage & Metadata by linking every creative asset to its performance data. Key Benefits of Claravine's Content ID System The Content ID system aims to turn asset chaos into AI-ready intelligence, ensuring your investment in structured data today benefits all future AI deployments. Accurate Tracking and Asset Management: Claravine generates a unique Content ID for each asset, enabling precise tracking and identification of duplicates across platforms. This ensures every asset has a persistent, unified digital identity. Enhanced Metadata and Searchability: The system connects directly to your Digital Asset Management (DAM) system, automatically importing assets and metadata. Claravine’s AI analyzes content to create contextual tags, enhancing metadata and boosting the searchability and strategic use of your digital assets. Comprehensive Campaign Integration: Content ID links full campaign hierarchies... --- - Categories: Blog, News, Partners Transparent Partners and Claravine Forge Strategic Alliance to Deliver Precision Data Standards for Next-Gen Marketers LEHI, UT. – November 11, 2025 – Claravine, the premier platform for data standards execution, today announced a strategic partnership with Transparent Partners, a recognized leader in enterprise data alignment, configuration, and consulting. Together, the companies will equip marketers with powerful solutions to manage and operationalize data in an increasingly complex digital landscape — especially as the rise of AI-generated content amplifies challenges in taxonomy, audience segmentation, and tagging. Through this collaboration, Claravine and Transparent Partners are helping enterprise marketing teams tame the complexity of AI-driven content, streamline taxonomy and tagging practices, and unlock more accurate insights across campaigns. The partnership combines Transparent Partners’ strategic expertise in setup, configuration, and data alignment with Claravine’s enterprise platform for enforcing and scaling data standards. This unified approach enables customers to move faster, reduce errors, and achieve better marketing outcomes — setting a new benchmark for precision and agility in the AI era. “AI content proliferation is accelerating marketing complexity faster than ever. Without rigorous data standards, it’s like driving with foggy headlights: you lose visibility, control, and speed,” said Wes Waterston, Chief Growth Officer at Transparent Partners. “By partnering with Claravine, we ensure marketers don’t just define their taxonomy and segmentation strategy — they can operationalize and govern it across every campaign, channel, and workflow. Transparent Partners specializes in enabling modern marketing innovation and transformation for a data-driven world, helping teams unlock the full potential of consumer... --- - Categories: Blog, News, Partners New Claravine Integration with Kochava Enables Scaled Deep Link Governance LEHI, UT. – November 6, 2025 – Claravine today announced a new integration with Kochava, the leading real-time data solutions company for omnichannel outcomes. This partnership empowers marketers to streamline link creation and management, reduce manual tracking errors, and enforce consistent data governance across mobile, web, and connected device campaigns. With this integration, marketers can apply defined brand standards directly to Kochava links, ensuring that every campaign is enriched with consistent metadata and properly configured parameters. By eliminating the need for manual link management, marketing teams can capture clean, complete engagement data—building a foundation for accurate analytics, attribution, and performance optimization. Learn more about deep linking. Claravine is excited to partner with Kochava to redefine campaign tracking and attribution workflows for marketers,” said Vanya Jakovljevic, Head of Partnerships at Claravine. “With this integration, brands can finally unify their data standards across the customer journey, eliminate manual errors, and gain confidence in every marketing insight—turning data from a source of uncertainty into a foundation for growth and innovation. Scalable, Structured Link Management With Claravine’s integration for Kochava, marketers can use predefined templates that standardize fields, naming, and parameter values for each campaign. Through Claravine’s intuitive, web-based spreadsheet interface, teams can: Create structured Kochava links in bulk for mobile and connected device campaigns Validate and enrich links with accurate metadata before launch Automatically map metadata into analytics and BI tools for streamlined reporting Preserve data consistency and compliance across global marketing teams... --- - Categories: Blog, Campaign Tracking, Content Management, Data Governance, Digital Marketing, Generative AI, Media / Ad Ops, Taxonomy & Metadata How AI Automation is Transforming Marketing Data Taxonomy It's Monday morning. You're staring at your computer screen with that familiar knot in your stomach. Thursday's campaign launch looms ahead, and you know exactly what the next three days hold: endless spreadsheets, frantic messages about naming conventions, and the inevitable Wednesday night panic when someone discovers the media plan doesn't match the activation platform. Does this sound familiar? You're definitely not alone. But there’s a new (intelligent) way to do things now. You and your fellow campaign managers can confidently head for coffee at 9:10 AM, knowing campaigns are launch-ready. Claravine AI reduces that multi-day nightmare to 5 flawless minutes. This is a perfect example of intelligent automation, but remember: the robot isn't the hero of this story; you are the strategic wizard who wields the power of taxonomy at your fingertips. The Monday Morning Reality Check Campaign teams at enterprise brands know this nightmare all too well. They are responsible for multi-million dollar campaigns to launch flawlessly — and on time. These teams manage complex, multi-channel execution across Google, Meta, Amazon, and various programmatic platforms, all while coordinating creative assets from numerous agencies and ensuring strict brand guideline adherence. Despite their expertise, the Monday morning campaign prep was a recurring nightmare. Teams would literally block out entire days just for campaign setup, with calendars filled with "Data Prep Marathon" sessions that nobody looked forward to. The process was painfully predictable: data scattered across six different platforms, hours of manual copying... --- - Categories: Analytics, Blog, Content Management, Digital Marketing, Media / Ad Ops The Benefits of Data Integrity: 3 Practical Examples Every department depends on reliable data to fulfill its organizational role and drive revenue. Here’s why data integrity is crucial, specifically to marketing, IT operations, and compliance. Marketing operations Effective digital marketing is characterized by the ability to engage prospects with the right message at the right time. This is accomplished by leveraging marketing data, first-party data, and other information sources to target ideal customers. But without data integrity, marketing operations and ad operations can’t trust that they’re getting an accurate view of the customer. They’re also unable to support or contribute the following to the organization effectively: Effective marketing taxonomies: Data integrity provides the foundation for taxonomies and metadata management. Both connect data-driven insights with digital content to influence and drive the customer journey. Sales support: Data integrity ensures sales reps can consider marketing qualified leads legitimate, worthy of their time and attention. Sales reps also depend on marketing taxonomies to streamline access to digital assets to support their sales cycles. Precise analytics: Remember when Coca-Cola tried to gain a competitive advantage by introducing New Coke in 1985? Who knows if precise analytics would have prevented one of the biggest marketing campaign flops in history? But modern brands wouldn’t launch a marketing campaign — let alone change a top-selling product — without accurate, comprehensive insights about their prospects and customers. Accurate marketing forecasts: Stakeholders won’t commit resources to expensive marketing campaigns without a reasonable degree of certainty that they will pay... --- - Categories: Blog, Digital Marketing, Generative AI, Taxonomy & Metadata When marketing teams search for "Adobe Workfront vs Claravine," they're often seeking clarity on how these platforms work together rather than compete. The reality is that Claravine and Adobe Workfront aren't adversaries in the marketing technology landscape — they're strategic partners designed to work in harmony, each addressing distinct challenges that modern marketing teams face daily. Understanding this partnership approach is crucial for marketing leaders evaluating their technology stack. Rather than viewing these as Workfront alternatives or Workfront competitors, savvy organizations recognize Claravine as a powerful complement that fills critical gaps in data standardization and metadata management that even the most robust project management platforms can't address alone. Understanding the Fundamental Difference: Workflow Management vs. Data Standards Adobe Workfront excels as a comprehensive workflow management platform, orchestrating complex marketing campaigns from inception to completion. It provides robust project management capabilities, resource allocation, approval workflows, and cross-team collaboration features that keep marketing operations running smoothly. Claravine operates in a different but equally critical space: data standards and metadata management. While Workfront manages the process of marketing work, Claravine ensures the data generated throughout that process maintains consistency, accuracy, and intelligence across every touchpoint—in and outside of Workfront. This distinction matters because modern marketing teams don't just need workflow management—they need data standards. Campaign names, tracking codes, metadata tags, and taxonomies created in Workfront need to follow standardized conventions that make data actionable in activation platforms, and downstream for analytics, attribution, and optimization efforts. Where Adobe Workfront Shines Adobe Workfront delivers exceptional... --- - Categories: Blog, Digital Marketing, Generative AI, Taxonomy & Metadata Why Consistent Metadata Is Your Secret Weapon for AI Ready Marketing Any enterprise marketing leader knows that AI is no longer a "nice-to-have" — it's becoming the backbone of competitive advantage. From predictive analytics to dynamic personalization, artificial intelligence is transforming how we engage customers, optimize campaigns, and drive growth. But here's what most marketers are missing: The foundation for successful AI implementation isn't just about having the right algorithms or the biggest datasets. It's about having AI ready marketing metadata that's structured, consistent, and strategically organized from day one. The reality is that most marketing organizations are approaching AI backwards. They're investing in sophisticated machine learning platforms and hiring data scientists while their underlying content and campaign metadata remains fragmented, inconsistent, and buried in organizational silos. It's like trying to build a skyscraper on quicksand — no matter how impressive the structure looks, it's destined to fail without a solid foundation. At Claravine, we've designed our platform with this fundamental truth in mind: AI doesn't just need data to be successful — it needs the right kind of data, with the right detail, applied consistently across every touchpoint. When your marketing metadata is structured correctly from the moment of creation, AI can immediately understand context, identify patterns, and optimize performance in ways that would be impossible with traditional approaches. The organizations that achieve transformative results aren't necessarily the ones with the biggest AI budgets or the most advanced technology — they're the ones that understood the importance of building... --- - Categories: Blog, Digital Marketing, News, Product Updates Future-Proof Your Marketing Metadata: New Tools for a Strong AI-Ready Foundation The stakes for managing marketing metadata have never been higher. GenAI, personalization, and decision engines increasingly rely on access to rich, reliable, ready data. While data standards are a growing priority for teams, it can be a struggle to assess progress and maintain consistency across a complex ecosystem. That’s why we’re thrilled to introduce a new set of tools designed to enhance your Claravine metadata strategy, empower teams wherever they work (including directly in the browser), and unlock increased flexibility and speed. Here’s a closer look at what’s included in our latest releases: Score and report on data standards progress with the Data Standards Score and Dashboard. Govern marketing metadata on the fly with our Chrome Browser Extension. Gain more flexibility to build your own solutions with additional and updated platform APIs. Accelerate readiness by automatically submitting valid inbound data to your downstream tools. Score Your Data Standards Progress A data standards strategy takes hard work! So it’s important to celebrate progress and stay smart about where to focus future efforts. But without easy access to metrics and insights, finding opportunities can be a challenge - until now. Our new Data Standards Score and accompanying Dashboard provide powerful, actionable insights into your team’s adherence to the data standards you’ve set. This industry-first metric gives admins a quick view of their error rate, while detailed views let you dive deep into submission activity and data volume across templates and systems.... --- - Categories: Blog, Digital Marketing, Generative AI, News, Product Updates, Taxonomy & Metadata Claravine AI agent powered capabilities are here, and they’re changing the way marketing teams work. In today’s fast-paced, high-volume marketing environment, teams are under pressure to move faster while maintaining data quality, structure, and alignment across systems so they can measure, optimize and fuel new models. With GenAI powering more and more marketing, the volume of campaigns and assets — and the importance of data — is only increasing. But manual work — like generating names and IDs, fixing data errors, and identifying and tracing creative continues to slow campaigns and teams down. That’s why our August release is focused on automation, intelligence, and control. With the help of Claravine AI, we’re introducing new ways to automate some of the most tedious and error-prone steps in your marketing workflows — without sacrificing data standards. From generating metadata, to correcting errors in seconds, to tracing creative through your ecosystem, these new capabilities are built to help your teams scale with confidence and precision. Less time on manual steps, more time making an impact. Take a look! Claravine AI Agent Build Hundreds of Names & IDs in Seconds Claravine is set-up to help teams generate data that aligns to their organization’s data standards, minimizing the errors and missing data that create downstream issues in reporting. However, even with the guardrails and tools Claravine provides to speed steps along, it still takes time. Manually generating a row of data averages 30 sec to 2 min based on complexity. For large campaigns this quickly... --- - Categories: Blog, Data Governance, eCommerce, Media / Ad Ops Retail media networks (RMNs) are a rapidly growing segment of the digital advertising market. RMNs allow retailers to sell their own ad inventory, which can be a significant source of revenue. However, in order to be successful, RMNs need to have high-quality data. Let’s break it down first; what does the term data standards mean for a retail media network? In essence, for a retail media network, data standards are the blueprint for all your marketing data. They meticulously define how data is structured, formatted, and exchanged, ensuring uniformity and accuracy. This consistency is absolutely critical for making informed decisions about ad targeting and pricing, forming the bedrock of a high-performing RMN. It's about establishing a common language for every piece of information flowing through your system, from campaign setup to performance measurement. What’s the benefit of implementing RMN data standards? Data standards are essential for ensuring the quality of data in an RMN. Data standards define how data is structured, formatted, and exchanged. They help to ensure that data is consistent and accurate, which is critical for making informed decisions about ad targeting and pricing. There are a number of benefits to using data standards in an RMN. First, data standards can help to improve the accuracy of data. This is important for a number of reasons. For example, accurate data can help to ensure that ads are targeted to the right audience, which can lead to better results. Additionally, accurate data can help to avoid fraud and other... --- - Categories: Blog, Data Governance, News, Product Updates In the modern marketing landscape, content is king—but keeping it organized is often a royal headache. From image variants for social platforms to repetitive video edits, creative teams generate endless versions of assets. Left unmanaged, this proliferation leads to inconsistent metadata, duplicated spend, inability to measure creative performance, and confusion across systems. That’s why today’s news is such a milestone: That’s why today’s news is such a milestone: Claravine has officially been awarded a U. S. patent for Content Similarity and Content ID technology—a foundational innovation powering our Data Standards Cloud® platform. And while patents don’t always make headlines in marketing tech, this one is important. It’s not just a defensive move. It’s a signal to our customers that the technology they rely on is customizable and built to last. Claravine's approach to data standards and metadata management is genuinely novel and not just a twist on existing methods. Here is what this means in the larger sense: 1. Creativity and Customization at Scale Needs Structure Imagine a global campaign: dozens of ad formats, localization versions, recycled hero imagery, A/B test variants—suddenly you’re managing hundreds of creative assets. And each asset might carry a slightly different filename, format, or placement context. Without structure, chaos creeps in: assets go unused, metadata drifts, and teams duplicate effort. That’s where Content ID steps in. Claravine’s patented system uses a smart combination of perceptual intelligence (like visual likeness) and non-perceptual cues (like additional metadata or content type) to group, track, and tag assets—even when... --- - Categories: Blog, News, Partners The Data Standards Company awards Indegene for its efforts in compliant marketing practices for life science brands. Claravine, The Data Standards Company, has awarded the inaugural Claravine MVP Award to Indegene, a digital-first life sciences commercialization company, which counts the world’s top 20 biopharma companies among its clientele. This recognition acknowledges Indegene's commitment to excellence in data standards and technology integration and its successful collaboration with Claravine. Indegene co-innovates and closely collaborates with global life sciences, emerging biotech, and medical device companies. Powering Data Standards That Drive Impact The Indegene-Claravine partnership delivers a comprehensive data standards solution, improving accuracy, compliance, and efficiency. This is crucial for life sciences brands seeking to ensure regulatory compliance, maintain data integrity, and make informed decisions based on reliable data. The Indegene team has earned 50 certifications through Claravine Academy’s MVP program and data standards training, reflecting a strong commitment to operational excellence and scalable cloud practices within the company. The partnership exemplifies the power of data standards, helping life sciences brands deliver better patient experiences with data they can trust. By combining Indegene’s deep domain expertise and Claravine’s data standards, the two companies are creating a resilient digital ecosystem that is primed for the future of life sciences marketing. Indegene continues to build and deliver exceptional campaign data governance, digital measurement frameworks, and analytics experiences to its clients around the world by leveraging Claravine's Data Standards Cloud Platform. Indegene has also created an analytics ecosystem to capture and analyze data effectively, helping life sciences... --- - Categories: Blog, Digital Marketing, Product Updates Freshman year of college, before Google maps or even smart phones were available, a group of us were sent on a scavenger hunt in an unfamiliar town armed with fragments of different maps. Some pieces had cartoonishly drawn landmarks, some were street maps, and all of them were printed at different scales. Whenever we figured out what piece of map corresponded to our location - which was very difficult because locations were distorted or missing - we could hardly get an overall sense of the place. This kind of challenge may seem familiar for marketers who regularly reconcile customer interactions and measurement data across disparate systems: aligning targeting, creative, costs and performance data can require reconciling data from multiple systems that don’t make it easy to do that. Although it’s difficult enough for most practitioners, it becomes even more complex for marketers who use dynamic decisioning to personalize communications with their customers. In a CRM, for example, it is commonplace for Salesforce Marketing Cloud Engagement email templates to pull in creative assets based on a particular journey’s personalization triggers and rules; knowing exactly what rendered on a consumer’s screen becomes difficult, and analyzing the collective impact of the creative becomes tricky. Now, say that the email clicks through to a landing page that is also dynamically optimized, this time by a Content Management System (CMS) like Adobe Experience Manager (AEM). The problem of understanding what rendered on each consumer’s screen, and its impact on overall performance, becomes compounded with the... --- - Categories: Analytics, Blog, Digital Marketing, Partners, Taxonomy & Metadata Forward-thinking retailers have discovered a valuable opportunity hiding in plain sight: their own digital properties and first-party customer data. By transforming websites, apps, and purchase histories into advertising platforms, they’re developing additional revenue streams that complement their core business. While traditional retail focuses on product sales, advertising allows retailers to monetize their digital traffic and customer relationships in new ways — creating value from every visitor interaction, whether or not it results in an immediate purchase. These retail media networks (RMNs) are exploding: according to eMarketer, they were projected to capture one-fifth of worldwide digital ad spend in 2024, raking in $140 billion. With more than 200 RMNs now in the market, the landscape has expanded far beyond traditional retailers like Amazon and Walmart, from banking to travel to real estate: Chase, United Airlines, Marriott, and Re/Max have launched their own advertising platforms. As this competition intensifies, simply having first-party data isn't enough to stake a claim. To attract advertisers and their budgets, RMNs need to provide unified, transparent data that can demonstrate ROI across increasingly complex advertising environments. This is where data standards — the structured approach to organizing and managing marketing metadata — become the critical foundation for sustainable revenue. Advertisers demand better data and greater reach As retail media matures, so do advertisers’ expectations. To stay competitive, even smaller RMNs now need to provide advanced reporting, expanded reach, and precise targeting. Accurate, reliable data and reporting Better measurement is at the top of most advertisers’ wishlists for... --- - Categories: News   One year after receiving SOC2 Type I, Claravine Achieves Additional Third-party Validation for Data Standardization Practices. Lehi, U. T. July 20, 2022 – Claravine, a pioneer in data integrity with its platform, The Data Standards Cloud®, announced that it has completed its SOC 2® Type II compliance examination. Achieving SOC 2 compliance is a significant milestone for Claravine, as it demonstrates the company's commitment to the industry's highest standards for managing data. Claravine successfully completed the Service Organization Control (SOC) 2 Type II audit and received its compliance certification just one year after the company attained its SOC 2 Type I certification. SOC 2 Type II is a step beyond SOC 2 Type I in that it describes the internal control policies an organization has in place at a single point in time and describes their suitability, as well as tests those over time, typically a 12-month period. A rigorous compliance standard developed by the American Institute of Certified Public Accountants (AICPA), SOC 2 is designed to specify how organizations should manage customer data. Through the process an organization's internal controls for privacy and information security are examined, assessing compliance at a specific point in time. SOC 2 compliance certification is recognized globally for its rigor in the review of organizations’ systems and controls. It affirms that Claravine’s practices, policies, procedures and operations meet the SOC 2 standards for security and data protection. Founded in 2012, Claravine empowers a proactive approach to data by activating standards across people and... --- - Categories: Blog, Digital Marketing, Generative AI, News, Product Updates, Taxonomy & Metadata At Claravine, we’re always looking ahead—building the tools that help teams move faster, work smarter, and stay aligned across an increasingly complex marketing ecosystem. And we’re excited to announce a set of new capabilities designed to do just that. Our latest features unlock smarter workflows by breaking down data barriers through automation and AI, providing solutions for global flexibility, empowering decision-makers, embedding Claravine where teams work, and expanding ecosystem impact. Whether you’re managing taxonomies across regions, syncing data between systems, eager for additional insights, or looking to meet teams where they work—there’s something here for you. Available for Early Access Taxonomy Translation Automatically Translate and Align Taxonomies If your role includes ensuring taxonomy consistency across your multiple clients, agencies or brands, how do you harmonize all of this into a single source of truth? Right now, it’s probably a highly manual process - one that can be time consuming and error-prone, slowing down your work and progress toward aligned, ready-to-use data. Our new taxonomy translation capabilities streamline this complexity by using LLMs to automate the mapping, alignment, and transformation of taxonomies. Whether you're standardizing across brands, migrating taxonomies, or aligning global and regional structures, Claravine uses AI-driven translation to match and validate and then puts you in the driver’s seat to review the output—reducing manual work, improving data quality, and accelerating time to insight. Perfect for agencies and brands alike, this solution makes it easier to collaborate, measure consistently, and scale operations across clients, teams, and tools. Explore the feature... --- - Categories: Blog, Content Management Maximize the assets used by brands and agencies in your martech stack. If the title of this blog didn’t catch your attention, what if I told you that 50% of inactive assets equates to over $90 billion in waste for Marketers globally? (techreport. com, Marketing Insider Group) Additionally, 76% of companies cannot easily find and store assets and 79% of companies find it difficult to measure content performance and gather insights (McKinsey). And with 50% of marketers creating at least 10 different web experiences for their audiences across various channels (Gartner), there’s a growing problem that few marketers have the tools to address. Data relationships are easily lost across the campaign process, making it difficult to measure the performance of content and creative assets. But this waste doesn’t have to be a part of your reality. Claravine enables you to measure if assets are activated, and if they’re reused. We create and maintain an end-to-end creative chain of custody, meaning metadata stays intact across planning, creation, activation, delivery, and all the way to reporting so that you can measure performance. How? After generating unique Content IDs, Claravine creates asset similarity scores, allowing for the identification and comparison of assets across the content supply chain. Using AI computer vision, Claravine’s technology analyzes an asset — its size, shape, orientation, quality, composition, aboutness — and assigns a Content ID that uniquely identifies that specific asset. This is important as the ID can detect, locate, track and compare content and creative that is... --- - Categories: Blog, News Today, Claravine, The Data Standards Company, is proud to announce the release of its first-ever Greenhouse Gas Emissions Inventory Report. This comprehensive report provides a detailed look at our environmental impact and reinforces our ongoing commitment to sustainability. Why We're Measuring and Disclosing Our Environmental Footprint The decision to measure and disclose our environmental footprint was driven by increasing demand from our valued customers and prospects. Sustainability remains a key priority for businesses across all industries, and we're proud to take part in conversations that lead to ongoing action around creating more sustainable business models within the marketing space. "Despite shifting political landscapes and industry trends, our clients and prospects continue to emphasize the importance of sustainability," said Verl Allen, CEO of Claravine. "The release of our Greenhouse Gas Emissions Inventory report reflects our dedication to transparency and accountability in our environmental practices. " What's in the Report Our Greenhouse Gas Emissions Inventory report provides a detailed analysis of our direct and indirect emissions, including Scope 1, Scope 2, and Scope 3 emissions. The report also highlights our commitment to reducing our environmental impact through energy-efficient operations, responsible resource management, and sustainable business practices. Leading by Example By publicly disclosing our emissions, we aim to inspire other companies to prioritize sustainability and contribute to a more environmentally responsible business landscape. We believe that transparency and accountability are essential for driving progress around climate change, and we're committed to doing our part. The full report is available here. --- - Categories: Blog, Digital Marketing, News, Product Updates New offerings make it simple for brand marketers to accelerate, extend and assess data standard strategies. Lehi, UT | December 5, 2024 Claravine, The Data Standards Company, today announced a suite of enhanced solutions, including a new industry metric, the Data Standards Score and an Excel add-in. The offerings are designed to empower marketers to effectively manage the increasing volume and complexity of marketing data, enabling smarter, data-driven decisions and maximizing the impact of marketing strategies. Incomplete and inaccurate data is a major risk, yet assessing adherence to data standards has historically been difficult. The Data Standards Score offers a quantifiable measure of data quality, completeness, and structure, giving marketers the ability to evaluate their progress in eliminating metadata errors. The accompanying dashboard provides a comprehensive view of platform activity across datasets, teams, and channels, helping marketers pinpoint areas for improvement and optimize their data standards strategies. Key Benefits of the Data Standards Score and Dashboard: Quantifiable Measurement: Provides a clear, objective metric for assessing adherence to data standards. Actionable Insights: Offers detailed visibility into data standards performance, enabling marketers to identify and address gaps. Improved Data Standards: Ensures data quality, consistency and accuracy. Smarter Decision-Making: Equips marketers to make informed, data-driven decisions. Amplified Marketing Impact: Enables marketers to optimize their strategies and maximize ROI. "As data management challenges intensify in 2025, the need for robust data standards has never been clearer," said Verl Allen, CEO of Claravine. "Our new solutions and first-of-its-kind technology provide advertisers and agencies with invaluable... --- - Categories: Blog, Digital Marketing, News At this year's Advertising Week, our panel titled Changing the Game by Getting Back to Basics explored the impact of data standards on modern marketing and business strategies. Experts including Lauren Fisher from Advertiser Perceptions, Natasha Templeton from AWS, Parvati Vaish from Havas Media Network, and Annie Stickney from JPMorgan Chase shared their experiences and insights on why establishing clear data standards is critical for achieving better ROI, enhancing AI efforts, and reducing business risks. Here are eight big takeaways from our conversation. Scroll down to watch. 1. Start with Use Cases, Not Standards A common mistake is to implement data standards for the sake of compliance rather than aligning them with clear use cases. As Parvati Vaish advised: "Start with use cases—what you're trying to accomplish. That way you start with the right idea and build toward the end goal. " Identifying specific business needs first helps teams understand what data they need, how it should be organized, and who will use it, making the adoption of standards more meaningful and aligned with business goals. 2. Excel Is Convenient—But It Carries Risk Despite all the advanced tools available today, Excel is still widely used across organizations for data management. Its familiarity makes it the default choice, but it creates inefficiencies, silos, and privacy risks. Panelists like Natasha Templeton encouraged teams to start moving beyond Excel: "Exel is an easy button. But you need to consider it from a lens of data security and privacy and everything that’s at stake—the... --- - Categories: Blog, Data Governance, Taxonomy & Metadata Most enterprise marketers are intimately familiar with the challenges of tagging, tracking, serving, and measuring content across its lifecycle. An all-too-recognizable maze of siloed teams, manual handoffs, and barely connected technologies prevents teams from capturing and interpreting consistent metadata — the critical details that describe and track every asset and campaign touchpoint. These challenges are universal (and about to get a lot more thorny thanks to the forthcoming influx of AI-generated content). But marketers working in regulated industries — like healthcare, pharmaceuticals, insurance, and financial services — face even more complexity and higher-stakes consequences around poor metadata management. HIPAA, SOX, and other regulatory frameworks demand that marketers in these sectors navigate a labyrinth of restrictions. Broadly speaking, they must ensure no personally identifiable information (PII) or protected health information (PHI) is used, adhere to strict audience targeting guidelines, maintain visibility into marketing messages and campaign activity, and provide robust audit trails. Failing to comply with these standards can lead to financial penalties, legal action, and loss of consumer trust. So today, we want to take a deeper look at data standards. Across industries, enterprise teams are using data standards to dictate how marketing teams manage data — defining how metadata is formatted and structured, describing who can use it and when, and dictating how it should be integrated across systems. For any company, data standards help calm the chaos of marketing data. But companies operating under regulatory scrutiny can unlock a host of hidden benefits by implementing a data standards... --- - Categories: Blog, Content Management, Generative AI, News, Product Updates A Deep-Dive Into Claravine AI Features Today’s marketers are sitting on untapped content and creative potential. Improving the structure, completeness and quality of content & creative metadata & Claravine AI lets teams do dramatically more, much faster - but without significant people resources, brands and agencies struggle to keep up with the volume and versions of assets across their systems. As AI-generated creative capabilities accelerate, the volume of assets, associated metadata, and taxonomy that need to be managed across the content supply chain are no longer something even the biggest brands can manage with just people. Soon, the capability of an organization to generate assets will outpace their ability to use them. That is, unless they have a strong foundation of marketing metadata to fuel their operational and decisioning tools. That’s why Claravine continues to add new tools to help our customers realize the value of data standards across content and creative. Our platform includes several features that leverage AI, machine learning and computer vision to enhance marketing taxonomy and metadata. These work in collaboration with the powerful platform tools our customers know and love to ensure trustworthy, ready marketing metadata. When you have rich, reliable insight into what you have and how it is being used, you can accelerate quality action and decision-making across planning, targeting, activation, and measurement. And you can trust that your data is safe and your privacy is protected at Claravine. We do not share or send any of our customers’ personal data to third... --- - Categories: Blog, Content Management, Generative AI, Product Updates Use Cases for Detailed, Well-Structured Metadata. Let’s be honest, most organizations have always had a “content metadata problem. ” Duplicative assets, inconsistent naming and tagging, missing and incorrect fields easily build up over time across teams. Now, generative AI in tools like Adobe Firefly, Canva AI, Midjourney, and Open AI DALL·E make it possible for teams to create and customize content and campaign assets in minutes. A recent Adobe survey found that only 19% of those surveyed have NOT used generative AI tools in their work! And as adoption speeds up, Generative AI is expected to increase content variety, including generating text, images, and video to help businesses and creatives (read more about how GenAI is changing creative work). The ability to instantly produce dozens of variations of messaging and visuals will improve personalization and localization — but it will also lead to exponentially higher volumes of content that needs to be stored, managed, and accessed across teams. This creates real challenges for content and creative metadata management and requires a new approach, otherwise enterprise orgs will be faced with an impossible maze of metadata and shifting taxonomies. Our solutions including Content Comprehension, Content Similarity Detection, and Asset Preview are making it possible to navigate this maze with confidence. Not only does Claravine help you analyze and generate metadata for your assets aligned to commonly used taxonomies, but we can help you identify and organize assets so you can plan, activate and measure with confidence. Interested in learning about the... --- - Categories: Data Governance Confusion Inefficiencies Costly Errors These are the top outcomes of poor database naming conventions, but their impact extends far beyond these immediate issues. Inconsistent or unclear naming can lead to long-term data management challenges, hinder collaboration among team members, and even stunt your organization’s growth and scalability. A well-structured naming system streamlines data management processes, enabling teams to work more efficiently and effectively. It also enhances collaboration by providing a common language that all team members can understand and follow, regardless of their role or technical expertise. Plus, having a solid naming system makes it easier to troubleshoot SQL issues and switch between projects without missing a beat. This article will explore expert tips and best practices for database naming conventions that can improve your data management efforts and drive consistency across your organization. Practical Tips for Database Naming: What Works and What Doesn’t Organizing your database with a clear naming convention can make all the difference in maintaining clarity, consistency, and ease of use across development teams. Here are some actionable tips for effective database naming to ensure your database remains functional and intuitive. Tip 1: Ensure consistency across database naming Maintaining internal consistency in database naming reduces confusion and enhances the overall maintainability of the database. Consistent database naming conventions help developers, administrators, and stakeholders understand the relationships and purposes of various entities. This is particularly beneficial for cross-team collaboration, as everyone can grasp the database structure quickly. For instance, if your team selects snake_case for naming tables... --- - Categories: Taxonomy & Metadata Lost in the sea of data? As marketing data grows more complex, managing it effectively becomes a critical challenge for enterprises. In fact, the market for enterprise marketing metadata management is expected to grow at a compound annual growth rate of 22. 18%, reaching $31. 68 billion by 2029. But with this growth comes an overwhelming amount of metadata that can easily spiral into chaos if not handled correctly. The pain points are clear: Teams spend countless hours searching for digital assets, wrestling with siloed systems, and navigating inconsistent taxonomies. The result? Duplicated efforts, slower decision-making, and missed opportunities to optimize marketing performance. But it doesn’t have to be this way. A well-organized enterprise marketing metadata repository can transform how you handle data. Unifying and streamlining your approach can improve productivity, enhance customer experiences, and increase your marketing ROI. In this blog, we’ll explore different components of an effective enterprise marketing metadata management strategy and provide practical steps for integrating it into your organization. The Role of Enterprise Metadata in Your Marketing Ecosystem Enterprise marketing metadata management is about more than just organizing information. It’s the process of making your data work smarter. Effectively managing metadata can improve data governance, streamline data management, and drive better marketing outcomes. When metadata is well-structured and managed, it becomes easier for teams to find, measure, and leverage data in ways that improve engagement and conversions. To understand the value of enterprise metadata management, let’s understand the different types of metadata and how they... --- - Categories: Digital Marketing As McKinsey research indicates, personalized marketing can cut acquisition costs by 50%, boost revenue by 15%, and increase ROI by up to 30%. However, achieving these results hinges on your marketing data's accuracy, consistency, and reliability. This is where data quality management becomes important. But what is data quality management? It refers to ensuring that your data is accurate, complete, and reliable, essential for effective decision-making. Without high-quality data, even the best campaigns can falter, leading to poor targeting, inaccurate reporting, and diminished ROI. Moreover, the challenge is intensified by the diverse marketing data sources, including CRM systems, social media platforms, and website analytics, each with different structures and formats. Without a structured approach to data quality management, organizations risk making decisions based on outdated or inconsistent information, undermining their marketing efforts and overall business success. In this article, we'll explore the significance of data quality in marketing, highlight its key dimensions, and discuss how Claravine's innovative solutions can help marketing teams tackle data quality challenges and enhance campaign performance. What is Data Quality Management (Dqm) in Marketing? Data Quality Management (DQM) in marketing involves managing data to ensure its accuracy, completeness, consistency, timeliness, and usability. High-quality data is the backbone of effective marketing strategies, allowing companies to make informed decisions, enhance personalization, and improve overall campaign performance. Key dimensions of data quality: Dimension Explanation Accuracy Ensures data correctly reflects real-world information. Inaccurate data leads to wasted resources and ineffective campaigns. Completeness Ensures all required data fields are filled, avoiding... --- - Categories: Data Governance Every click, interaction, and transaction today generates a massive amount of digital content. This surge in digital assets—images, videos, documents, and rich media—has overwhelmed businesses, making it harder to manage and utilize these assets efficiently. The Digital Asset Management software market is projected to expand to $8. 2 billion by 2030, reflecting a growing need for structured solutions. Businesses are recognizing the urgent demand for tools that streamline the organization, storage, and retrieval of digital content while improving cross-team collaboration. As companies handle an ever-increasing volume of digital files, they face challenges in managing, optimizing, and reusing these assets across marketing, creative, and operational teams. Digital Asset Management systems offer a centralized solution to these problems, helping teams streamline the content lifecycle—from creation and collaboration to distribution and performance analysis. In this blog we’ll explore how a Digital Asset Management platform, particularly one that emphasizes metadata management, can improve your team efficiency, and enhance brand consistency across every channel. What is Digital Asset Management? Digital Asset Management (DAM) is a powerful software solution that allows organizations to efficiently store, organize, manage, and distribute digital assets, including images, videos, documents, and more. The key to a DAM system’s effectiveness is its ability to centralize assets in a single repository, making them easily accessible across different teams and departments. This eliminates the common problem of hunting through multiple folders and platforms to locate specific assets, allowing teams to work more efficiently and collaboratively. Key features of DAM: Centralized repository: Provides a single,... --- - Categories: Data Governance Data downtime isn't just increasing—it's skyrocketing, with a staggering 166% rise in resolution times annually, translating into significant costs in both time and revenue. As businesses become more data-driven, the caliber of your data directly influences your capacity to make accurate decisions, streamline operations, and improve client relationships. Quality data is the cornerstone of operational excellence. Subpar data quality—riddled with inaccuracies, gaps, and obsolescence—can severely disrupt processes, inflate operational costs, and damage customer trust. Many organizations struggle with maintaining high-quality data, exacerbated by challenges such as fragmented systems, inconsistent data sources, and poor data governance. Addressing these issues is critical, and the six pillars of data quality provide a structured framework for transforming data into a reliable asset that drives business success. In this article, we’ll explore each pillar in detail and its significance for your organization. What is Data Quality (and Why is It Critical to Your Success) Data quality isn't just operational—it’s a strategic asset that supports smarter business decisions. Defined by attributes like accuracy, completeness, consistency, timeliness, and relevance, high-quality data ensures that businesses can rely on their insights, leading to better outcomes. Why prioritize data quality? With rising data downtimes each year, poor data quality directly impacts your bottom line. Here’s why high-quality data is essential: Informed decision-making: Reliable data drives strategic decisions and helps avoid costly mistakes. Operational efficiency: Accurate, consistent data reduces errors and speeds up business processes. Customer satisfaction: Quality data enables personalized interactions, boosting customer retention. Regulatory compliance: In regulated industries, high-quality... --- - Categories: Uncategorized Is inconsistent data undermining your marketing campaigns? Disorganized, siloed information can create confusion, making it difficult to make informed decisions and effectively connect with your audience. Without a unified approach, marketers face unreliable data, leading to misaligned campaigns and wasted resources. Marketing metadata standardization tools offer a solution to this challenge. These tools break down silos and foster seamless collaboration across teams by unifying your data into a consistent, organized format. They ensure that every piece of data aligns with established standards, allowing you to make confident, data-driven decisions that enhance campaign performance and boost ROI. In this article, we'll explore why marketing metadata standardization is important in modern marketing, the challenges caused by inconsistent data, and how the right tool can unlock the full potential of your marketing efforts. Discover how data harmonization, automation, and scalability can transform your organization's approach to marketing data. The need for marketing metadata standardization tools So, why is marketing metadata standardization important? Marketing metadata standardization empowers teams to work with consistent, high-quality data, optimizing collaboration and driving superior marketing outcomes. Inconsistent metadata in modern marketing can be a critical barrier to success. When data is fragmented across channels and platforms, generating actionable insights or making informed decisions becomes difficult. This is where marketing metadata standardization tools come in, bridging those gaps and enabling marketing teams to excel. Here are four reasons why you need marketing metadata standardization tools: 1. Improved data quality: Consistent, clean data across channels Accurate data is the cornerstone of... --- - Categories: Data Governance A mere 27% of data practitioners fully trust the data they work with. This eye-opening statistic reveals a widespread crisis in data reliability, highlighting the urgent need for robust data validation practices. As AI and data analytics shape today’s business landscape, flawed data can lead to costly missteps, damaging both a company’s reputation and its financial health. Data validation goes beyond checking boxes—it ensures data accuracy, consistency, and reliability, enabling businesses to minimize operational risks and enhance compliance. As the market gets increasingly driven by AI and data analytics, flawed data can lead to misguided strategies and reputational damage. From reducing operational risks to meeting compliance standards, validated data is the backbone of smart, strategic decision-making. This article analyzes the core concepts, benefits, and methods of data validation, showing how businesses can transform quality data into their greatest strategic asset. What is Data Validation? Data validation is the critical process of assessing data for accuracy, completeness, and usability before it’s stored or processed. This initial check ensures that data aligns with required formats, types, and ranges, which supports data integrity across systems. Various checks—like data type confirmation, range validation, and consistency enforcement—help detect and correct errors right at the entry point. Addressing these issues immediately saves businesses from costly mistakes later during analysis or decision-making, ensuring seamless data flow across different applications. Validation vs. verification To understand data validation's meaning, you must know what validation means. While validation and verification are often seen as similar, they serve distinct roles. Validation... --- - Categories: Analytics, Blog, Campaign Tracking, Data Governance, Taxonomy & Metadata, Uncategorized Trying to organize your marketing metadata is a complex endeavor. But there’s a key element working behind the scenes that can make or break an organization's ability to leverage marketing data effectively: data design. Data design is at the heart of everything we do here at Claravine, and we believe this unsung hero deserves its moment in the spotlight. So in this article, we’ll explore what data design is, why it matters for marketers, and how our time-tested approach to data design can help every team improve the quality and consistency of their marketing data. Defining data design — and why it matters Data design is a critical aspect of creating efficient and well-structured datasets that allow you to store and manage data effectively. Thoughtfully designing the architecture, tables, relationships, and constraints within a dataset can help ensure data integrity and optimal performance. For marketing organizations, this means creating datasets that can seamlessly handle vast amounts of campaign data, customer information, and performance metrics — no small task. The key principles of data design include: Minimizing redundancy: Duplicate data can lead to inconsistencies and errors, complicating campaign analysis and strategy adjustments. For example, if a campaign name is entered differently across various datasets, it becomes challenging to aggregate and analyze campaign performance accurately. Ensuring completeness: Incomplete data hampers the ability to gain comprehensive insights. Every piece of campaign data, from channel-specific details to your tactics and KPIs, needs to be accurately captured and stored. Missing data can lead to skewed... --- - Categories: Campaign Tracking, Data Governance, Product Updates, Taxonomy & Metadata Now available: an outbound connector that sends standardized data directly to the Snowflake Data Cloud in one easy step. Data is standardized before being pushed into Snowflake ensuring that dimensional data is complete, correct, and easy to join with your other data for analysis and insights. Generate insightful reports and dashboards and make data-driven decisions faster and with more confidence. The Importance of Metadata in an Evolving Data Landscape Digital marketing and data science teams are facing a rapidly shifting environment, from increasing privacy regulations to market fragmentation. Reaching the right consumer has become more complex and more siloed and we’re all seeing significant changes in how data is collected and used. At the same time, generative AI is revolutionizing content production and tagging. However, while it’s making it easier to create and test assets, keeping track of thousands of products with multiple versions for different audiences can become unmanageable without a standardized approach. And the content supply chain—from creative teams to operations and data analytics—is far from linear. Each organization has unique processes, tools, and requirements. The Case for Standardized Data in Snowflake This is where Claravine steps in to ensure data accuracy and consistency, helping teams avoid duplication and confusion by establishing data standards. We enable teams to have a shared understanding of their data, particularly within Snowflake. Why is this so important? Because as digital marketing continues to change, marketers will continue to need to measure success. Here are a few examples of ways our platforms can... --- - Categories: Content Management, Data Governance, Generative AI, Taxonomy & Metadata Generative AI is ushering in a new era of possibility for enterprise marketers — and increasing the urgency to solve long standing challenges. GenAI promises a fast, efficient path forward to meet the ever-increasing demand for personalized content. But as enterprise marketers understand, managing large volumes of content assets across complex systems is no simple task. Tagging, tracking, serving, and measuring content across its lifecycle is already a significant roadblock to optimizing campaign performance. According to our latest State of Modern Marketing Data Standards report, only 13% of advertisers were very confident in their ability to tie campaign performance or ROI back to specific ad creative. With an influx of AI-generated content on the horizon, marketers have zero time to waste. Without a better approach to scaling content management, enterprise orgs will struggle to ensure the quality of their content and the accuracy of their campaign execution, support increased personalization, and keep pace with reporting needs. Read on for a deep dive: where we stand today, the risks that lie ahead, and the role AI will play in creating — and solving — these unique challenges. Tomorrow’s AI-generated content will amplify today’s challenges As we stand today, the lifecycle of enterprise content is already rife with liabilities and potential breaking points, including: Different teams handle distinct stages of the content supply chain, from planning and budgeting to designing and building digital experiences to activation and analytics. Campaign plans and content assets go through repeated handoffs across multiple business units, brands,... --- - Categories: Campaign Tracking, Taxonomy & Metadata In the ever-evolving landscape of digital marketing, maintaining consistency and clarity in data organization is key. Establishing a taxonomy guide to naming conventions lays the foundation for efficient campaign management, enabling marketers to navigate complexities with ease. If you're unsure how to start this process or simply looking for a few ways to polish your approach, read on for tips and best practices sourced directly from our team of data standards experts! Hierarchies and Essential Fields When crafting a naming structure, it's crucial to prioritize fields that capture the fundamental aspects of your campaigns. Focus on a few core hierarchies and selecting key fields for each: 1. Campaigns: The overarching container for your marketing initiatives. Brand_Product_Quarter_Year This hierarchy encapsulates vital information about the campaign, including the brand, product, quarter, and year. By incorporating these elements, you provide context and facilitate easy identification. 2. Placement/Ad Set: Refers to the specific locations or sets of ads within a campaign. Type_Audience_KPI_Target_Date This hierarchy delves into the specifics of ad placements, encompassing the type of placement, target audience, key performance indicator (KPI), and target date. These fields offer granular insights into the ad set's purpose and objectives. 3. Creative/Ad Creative: Involves the actual content or creative assets used in advertisements. Format_Size_Length This hierarchy focuses on the format, size, and length of the ad creative. These parameters are crucial for optimizing ad performance and ensuring compatibility across various platforms. Best Practices To maximize the effectiveness of these types of structures, adhere to these best practices:... --- - Categories: Analytics, Campaign Tracking, Content Management, Data Governance, Taxonomy & Metadata, Uncategorized Enterprise organizations are on the brink of an AI-fueled content overload. With the new capabilities of generative AI, brand and marketing teams can now create campaign assets in mere moments. The ability to instantly produce dozens of variations of messaging and visuals will improve personalization and localization — but will also lead to exponentially higher volumes of content that needs to be stored, managed, and accessed across teams. For most organizations, that leads to a significant challenge around content data standards. Today’s enterprise orgs maintain a veritable alphabet soup of content storage options — DAMs, CMSs, MAPs, cloud storage, project management tools, and more. Information about campaign performance is often splintered across disparate reporting dashboards and agency partners. This makes it difficult for team members to locate specific assets when needed, understand how content performs, or discover relevant assets that could be reused or repurposed for new campaigns. Keeping content metadata consistent across these systems is already an enormous challenge. And all of this is about to get exponentially more complex with GenAI. As content production scales, content metadata management will need to be automated as well — or enterprise orgs will be faced with an impossible maze of metadata. Ironically, the complexity of adding AI-generated content to the mix threatens to become a major roadblock to marketing teams’ ability to leverage other AI toolsing across the organization. These technologies rely on real-time access to quality data to operate — and if content overload creates messy, inconsistent, siloed data, then... --- - Categories: Campaign Tracking, Content Management, Taxonomy & Metadata, Uncategorized For a few years now, Adobe has been advocating a systematic approach for efficiently planning, producing, and delivering content: the content supply chain. This framework was developed to help marketing teams that had long struggled with hand-offs, reviews, approvals, and asset management across tools and teams. The content supply chain framework connects the people, processes, and technologies that brand and marketing teams use to deliver the personalized experiences that consumers increasingly demand. By building these connections, content supply chain solutions address common breaking points across the key stages of content development: Applies consistent processes to project planning, helping avoid unnecessary revision cycles or poor resource management Automates workflows and breaks down silos throughout production, allowing creatives to spend more time on high-value work rather than repetitive, manual tasks Enables efficient delivery of personalized experiences across channels by centralizing asset management and fragmented tools Without a streamlined framework applied across every stage of planning, producing, and delivery, enterprise teams will struggle to meet the ever-increasing demand for content. During the 2023 Adobe Summit, Adobe went one step further and formalized the content supply chain system into an end-to-end technology solution. By integrating workflows across core tools like Workfront, Experience Manager, and Creative Cloud — while layering GenAI capabilities throughout the ecosystem — Adobe’s content supply chain promises to accelerate the production of personalized content at scale. Watch our full Adobe Summit 2024 Session on the Content Supply Chain, featuring IBM And there’s one component of executing a successful content supply chain... --- - Categories: Blog, News, Product Updates In today’s fast-paced world of modern marketing, Claravine advocates for standardized taxonomies, naming conventions, and metadata. As The Data Standards Company®, our vision is for people, teams, and technology to have a shared understanding of their data. Join us as we take a reflective journey through the achievements of 2023, culminating as our fiscal year drew to a close on Jan 31, 2024. Customer Wins Our success in 2023 was marked by exceptional customer wins, as we proudly partnered with the one of largest U. S. sporting leagues and one of the world's leading media agencies to revolutionize their data standards practices. With the addition of some of the most renowned brands in various sectors, particularly in Pharma and Healthcare, we continue to uphold rigorous regulatory and compliance standards. Our collaboration with seven of the foremost Computer Software companies has been instrumental in streamlining campaigns across their expansive global portfolios. Our reach has extended significantly in the retail sector, with highlights including work with a top Fortune 100 retailer and other US household retailers. Furthermore, we've expanded our footprint in the Consumer Packaged Goods (CPG) space, forging alliances with notable brands ranging from high-end sporting apparel companies to innovative pet suppliers. The year started strong as Claravine was recognized as a Category Leader in Data Management Software by GetApp. Followed by Advertising Week New York, we had the opportunity to convene four marketing and advertising experts to delve into the current state and future needs of marketing data. This insightful... --- - Categories: Blog, Content Management, Data Governance When regulations, technology, and consumer expectations are constantly changing, keeping the analytics status quo isn’t an option. So during Advertising Week New York, we gathered four marketing and advertising experts to discuss the current state and future needs of marketing data: Claravine’s own Chief Growth Officer Chris Comstock, Advertiser Perceptions’ VP of Business Intelligence Lauren Fisher, Snowflake’s Industry Field CTO of Advertising and Marketing Jim Warner, and EssenceMediaCom’s VP of Global Data Management Tim Fogarty. We dissected findings from our recent study, The State of Modern Marketing Data Standards, which surveyed over 140 advertisers in organizations that spend more than $50M annually on digital advertising. And our conversation touched on both foundational concepts and trending topics, including how data standards facilitate trust, the prevalence of data clean rooms, and marketers’ overconfidence in handling AI-generated creative. Read on for eight key takeaways from our conversation, or watch the full recording: Regain Control in a Privacy Centric Future with Data Standards. 1) The definition of data standards Implementing data standards is all about establishing trust in the measurement and data we’re generating through digital marketing. A data standards strategy functions like a playbook, dictating: How your team formats, tags, and structures data How data is used, shared, and manipulated How data is managed to integrate across systems Data standards are essential because marketing data can get incredibly messy for teams who work across multiple tools like ad platforms, CDPs, CRMs, and marketing automation solutions. “When we talk about standards for phone numbers... --- - Categories: News Offering industry-leading data standardization training to its customer base and beyond --- - Categories: News Trusted data management company recognized for its ease of use, value for money, functionality, customer support, and high recommendation rate Lehi, UT --News Direct-- Claravine -- 3/7/2023 Claravine, The Data Standards Company, has been placed on GetApp’s Category Leaders Report for the Data Management Category. Category Leaders are designed to help businesses evaluate which software products may be right for them. Claravine was ranked on the list for stellar performance for its platform The Data Standards Cloud, which empowers marketing data owners to create data integrity globally, providing consistent and quality information to optimize business outcomes. Claravine empowers a proactive approach to marketing measurement by activating data standards across people and technology – bridging the silos that limit speed and decisions. Used by Fortune 1000 companies such as Carhartt and Under Armour, Claravine’s collaborative user interface and strategic integrations with top marketing and advertising platforms enables global organizations to define, apply and connect standards across their ecosystem for faster decisions, greater agility and increased return-on-investment for their digital advertising dollars. "We’re grateful to kick off another year with continued positive recognition from our customers and for the performance of our platform,” said Verl Allen, CEO of Claravine. “With the big shifts in the digital advertising and marketing ecosystem, we are a leader among the companies that are helping marketers with the transition to increased use of first-party data, new measurement techniques and attribution models, as well as targeting strategies. We strive to take the drama out of our customer’s marketing... --- - Categories: Blog The quest to be data-driven is fueling explosive growth in the global business intelligence (BI) market, which is projected to grow from $24 billion in 2021 to $43 billion in 2028. But having the latest and greatest BI tools doesn’t matter if your users can’t make sense of the underlying data. That's why investing in a robust semantic layer is crucial to ensure that all users can access and use enterprise information, no matter how technical they are. This guide will explain the semantic layer, why it is important, and some key benefits of implementing one. Then we'll talk about semantic architecture, including where the semantic layer is used and how it's built. Let’s get to it. What is the Semantic Layer? If you’ve ever worked with data in a business context, you’ve probably viewed it through a semantic layer, which maps enterprise data to common terms like customer, product, profit, and more. Transforming your underlying data models into familiar business terms supports a consolidated, consistent view of data across the organization. The semantic layer simplifies and expedites data access for technical and non-technical users alike so organizations can derive maximum value from their data. Why is the Semantic Layer Important? A single source of truth (SSOT) for enterprise data is absolutely necessary to support accurate and actionable insights for decision-making — 69% percent of CFOs consider it critical for running an enterprise. However, consolidating data into a central repository doesn’t equate to access. You need the semantic layer to... --- - Categories: Blog Over the last few years, digital marketers have faced steady change. From a cookieless future, to a changing privacy and regulatory landscape, and increased customer scrutiny of data collection policies, the digital landscape continues to shift. While there are many benefits to these changes for consumers and brands, it fundamentally changes the way marketers approach measurement and attribution. And it has everyone looking more closely at the data they collect and the value it delivers to their business. In addition to “owning” more data, building partnerships, and investing in tech like CDPs and clean rooms, brands and agencies are focused on collecting compliant, business-relevant data points to give their marketing strategy an edge in measurement. To-date, most organizations took the approach of collecting any and every data point along the way. You could then use device ID matching and ETL to aggregate 1P and 3P data points and build reports based on observation of individuals’ activities across campaigns and channels. This wasn’t always simple, but there were a lot of identity-based data points available to stitch and cleanse. Many organizations were comfortable with the margin of error involved given the tremendous volume of data being used. Even if there were concerns this was the way everyone did it and was generally accepted. A different way of thinking about “IDs” But with many of the tried and true identity-based mechanisms for measurement and attribution decreasing in availability, organizations have to take a new approach to their data - putting more effort... --- - Categories: News The Data Standards Cloud Company continues to accelerate its growth by adding to its executive leadership team Lehi, U. T. | December 19, 2022 Claravine, a pioneer in data integrity for the global enterprise, has appointed Justin Shepard as its first Chief Financial Officer (CFO). The newly added role supports the continued growth of Claravine and the increasing demand for its Data Standards Cloud platform within the enterprise. This demand is being driven by disruption in digital advertising and marketing being driven by increased data compliance needs, campaign measurement challenges due to signal loss and a heightened focus on first-party data. Shepard joins Claravine’s executive team with CFO experience from Flytedesk, the largest campus advertising technology network in the US; Clear Ballot Group, leading provider of government technology solutions that increases trust and transparency for the backbone of America's democracy; and Brand Networks, a social marketing and advertising technology company. Shepard will play a key role in the effective running of the business’ finance, strategy and operations functions. Shepard will report to Claravine’s CEO Chief Executive Officer, Verl Allen. “Claravine has had an incredible amount of momentum over the past year, with its goal being to continue transforming the way brand marketers and agencies manage and action data to deliver the greatest impact on the businesses they serve,” said Shepard. “I’m excited to join this incredible team and help enable further growth for the business in the years ahead. ” Founded in 2012, Claravine empowers a proactive approach to data... --- - Categories: News Claravine, a pioneer in data integrity for the global enterprise, has been included in 2022 Gartner Cool Vendors in Marketing Data and Analytics report. The Report highlights interesting, new and innovative vendors, products and services designed to help digital marketing leaders improve the usability of their marketing data, specifically in the areas of data collection, quality and activation. "We are thrilled to be included in the 2022 Gartner Cool Vendors report," said Verl Allen, CEO of Claravine. "Marketers are challenged with using quality data to gauge digital campaign performance. Our platform has demonstrated excellence in helping analytics teams to be more efficient and effective, standardizing marketing performance data attributes across the enterprise by greatly accelerating analysis and simplifying the process of aggregating data. I’m incredibly proud of our team's dedication to helping the Fortune 100 get the most of their data and digital dollars. ” This recognition comes on the heels of Claravine’s recent 2022 AdExchanger Award win for Best Data Technology, 2022 Programmatic Power Player inclusion, and being recently recognized as a Momentum Leader in Data Governance Category and Best Enterprise Relationship Index for Data Governance in the Spring 2022 G2 Rankings. Claravine’s solutions also received recognition in the G2 2022 Spring Reports as an Enterprise High Performer and for “Easiest to Do Business With. ” Marketers using Claravine consistently report a 10% to 15% increase in return on ad spend (ROAS) for each new dollar tracked, 100% data format, tracking code, and tag compliance, and more than an... --- - Categories: Analytics, Blog Rich metadata is the key to success with all things GA 4 - from audiences to mobile to events and more. What follows are key benefits of Google Analytics 4 and how to make the most of your data with it. It goes without saying that accurate and thorough data is fundamental to a successful Google Analytics 4 implementation. Considering the move from UA to GA4 is all about giving more control over reports and dashboards, you’ll want to be certain you have accurate and comprehensive data to do so. This transition to GA4 is a prime time to finally get that data straight. There is absolutely no excuse to have inconsistent naming conventions and values flowing into Google Analytics any more. Before I go into detail I want to highlight one of the secrets is in the unique key generated for all the data you are building in the Claravine platform. This key becomes the look-up value that attaches all of the powerful metadata you’ve built out in our platform along with what you’ve collected through engagement in mobile, events and audiences. Ultimately you are building a relational database for a ton of your critical marketing data. Here are 3 key areas that require data standards... and how you can successfully do it through using Claravine’s Data Standards Cloud. Let’s imagine you are running a large campaign promoting your (or your client’s) latest and greatest product... Mobile Campaign Performance Data GA4 makes mobile app performance and engagement tracking more... --- - Categories: Blog Data clean rooms are becoming the preeminent tool for brands to better understand the place of digital marketing within the broader marketing ecosystem. In fact, data clean rooms are key for measuring advertising effectiveness, especially as advertisers are relying on cookies less due to privacy regulations and Big Tech changes. According to ESG Research Report: 2022 Technology Spending Intentions Survey, we find that becoming operationally more efficient to be a top trend year over year. But specifically, when it comes to data clean rooms, the tech and the data are often the focus. However, there is a problem that’s been behind the scenes for years. The “people problem” has yet to be solved. How Did We Arrive at the “People Problem”? Data can support or inform nearly every function of your organization. But, just like data, human relationships can be messy and unpredictable, and data cannot be operationalized without people. As creatures of habit, employees often fall into rhythms. While processes may not always seem logical, people hold onto the mindset of “If it isn’t broken, don't fix it. ” In fact, according to ESG Complete Survey Results: The State of DataOps, we find significant skills gaps found virtually everywhere. The media operations process is a great example of a suboptimal process. The primary tool from creative approval to media trafficking is still run primarily across teams through many Excel spreadsheets. Oftentimes it is challenging for each of the individuals to see the forest above the trees and recognize there... --- - Categories: News The recognition emphasizes Claravine’s impact on measurement in digital advertising Lehi, UT | November 01, 2022 08:00 AM Eastern Daylight Time Claravine, a pioneer in data integrity for the global enterprise, has been selected as a 2022 AdExchanger Award winner for Best Data Technology. Claravine receives this honor for its work in helping brands measure campaigns more effectively and addressing this growing challenge in the industry. Claravine enables its clients to prove the value of full paid media by moving away from hypothetical decision-making and use the data richness, quality, and time savings to develop increased analytics maturity. "We are thrilled to be recognized by AdExchanger as a Best Data Technology," said Verl Allen, CEO of Claravine. "Our goal is to continue to transform the way brand marketers, analysts, and agencies manage marketing data to make the greatest impact on the businesses they serve. Data quality has become paramount and we see demand growing for more solutions around metadata, data standardization, new ways of measurement and more. " Marketers who use Claravine consistently report a 10% to 15% increase in return on ad spend (ROAS) for each new dollar tracked, 100% data format, tracking code, and tag compliance, and more than an 80% reduction in time spent on data quality processes. Through its Data Standards Cloud platform, Claravine’s clients are able to centrally define, apply and connect data standards, customizing them to the unique requirements of each marketing team and technology. Claravine has recently substantially expanded its integration library to... --- - Categories: Blog, Media / Ad Ops I want to own and operate a microbrewery with my brother sometime in the semi-near future. And, as part of any good business planning, you have to really understand your numbers. During my initial dive into the financial side of running a brewery, I came across the notion of “spillage rate” - the expected amount of beer you are going to spill/waste (from a variety of occurrences). Soon after this discovery, I had a great conversation with our Head of Partnerships around a similar concept but one that is happening in paid digital advertising. In brewing, spillage is to be expected, but it seems rather bizarre to me that many also accept a “spillage rate” in paid media. It somehow seems acceptable to knowingly waste a certain amount of ad dollars - primarily due to failed tracking and attribution set-ups. And those failures are usually due to missing or inaccurate data. What’s most incredible is that this is acceptable by media agencies when spending someone else’s money (the brands they advertise for)! How does this continue to carry-on 20+ years into the digital advertising domain? Especially given two things: the financial impact (both cost savings and lost revenue) and the relative simplicity of fixing the problem. Let’s think about these two things in a little more depth. Have you considered the financial impact of data noncompliance in your paid media I’ll try to keep this as simple as possible. Say you are running a campaign and your budget is $1,000,000... --- - Categories: Analytics, Blog, Digital Marketing, Media / Ad Ops Award-winning tech adds Google Ads, Snap and Pinterest to growing portfolio of integrations Lehi, U. T. | October 17, 2022 Claravine, a pioneer in data integrity with its platform, The Data Standards Cloud®, has launched integrations with Google Ads, Snapchat Ads and Pinterest Ads Manager. These recent platform integrations help Claravine users improve naming compliance, metadata capture and enrichment while maintaining connection points between key datasets – allowing them to hand-off across workflows and quickly measure which campaigns are performing best. There is an industry-wide demand for innovative solutions when it comes to marketing measurement, personalization and collaboration. To meet this need, Claravine is expanding its ad integration library to be compatible with more major platforms powering digital advertising, including measurement solutions, creative optimization and content metadata. Claravine has existing ad integrations with Google Campaign Manager 360 and Facebook Ads Manager along with integrations into other key marketing technologies. “While clean, consistent marketing data are core to faster business decisions, ad platforms limit the ability to control or customize fields. The lack of control and alignment across these platform limits brands and agencies from creating unified measurement dashboards. ” Chris Comstock, Chief Product Officer at Claravine said. “By expanding our capabilities, we’re able to ensure that there is uniformity and adherence to the taxonomy and rules our clients have put in place. We are also able to enrich the marketing data with the business attributes needed for measurement and insights while creating alignment across marketing and analytics teams. ” To... --- - Categories: Analytics, Blog 3 steps for setting up classified dimensions in Adobe Analytics to capture your teams’ successful adoption of The Data Standards Cloud ® Using the Claravine API integration & classified dimensions, you can start to do real-time analysis to measure your company’s process adoption and tracking code validity early. Know when it’s time to switch off old Adobe processing rules and to begin relying solely on Claravine for a single source of truth. Follow these 3 easy steps to set up dashboards in Adobe to monitor your adoption and complete your implementation across all users in just 6 weeks. Where to start measuring? Implementing a new SaaS solution across multiple teams and hundreds of individuals is a huge feat, and a necessary task to get to end-to-end measurement. Therefore, it is good to know exactly where in the process of adoption things are running smoothly and where additional enablement may be required. We suggest you start by identifying a few goals that are important to your business and setting up a process for tracking and measuring success. For example, one of our customers created quick and easy reports on the following: #1 Measuring the overall adoption rate of Claravine = The % of tracking code visits from codes created in Claravine. Goal: As your teams continue to input tracking codes via Claravine, this percentage will continue to increase highlighting the % of campaign visits that are based on complete and accurate data inputs. Why measure this: Getting teams on the same... --- - Categories: Blog, Digital Marketing, Media / Ad Ops There are more social media platforms than ever to run advertising on (but apparently not MySpace as I didn’t see any ads when I went to do my research for this article). But even if MySpace is not even something you’ve heard of or want to remember, there are lots of new opportunities on the SnapChats, Instagrams and TikToks of the world. And it’s not just these newer platforms you need to wrangle and master but the traditional players like YouTube, Facebook (excuse me, Meta), Twitter, LinkedIn and some others I don’t use but have huge audiences and advertising opportunities (I’m looking at you, Pinterest). And I think it’s worth mentioning that not all social media ad campaigns are run natively on platforms. Many companies and teams use third-party solutions like Mediaocean, Smartly, Skai, Marin and more to execute paid social. You’ve also got all kinds of traditional and new ad types to run as well, from Collections to Stories, Catalogs to Videos and more. These ads are rich with digital and interactive media still driving traditional goals of brand awareness, conversions and sales. And for big brands, you usually have thousands or more campaigns, ad groups, and ads running simultaneously. Not to forget that no one person or team is launching and managing all of these campaigns, assets, landing pages and everything else involved in digital ad trafficking and execution. Internal teams and agencies “work together” to turn ideas into experiences. Yikes. It’s hard to fathom juggling coordination across... --- - Categories: News Lehi, Utah | August 30, 2022 10:02 AM Eastern Daylight Time Inc. recently revealed that Claravine ranked on its annual Inc. 5000 list, the most prestigious ranking of the fastest-growing private companies in America. The list represents a one-of-a-kind look at the most successful companies within the economy’s most dynamic segment—its independent businesses. Facebook, Chobani, Under Armour, Microsoft, Patagonia, and many other well-known global brands gained their first national exposure as honorees on the Inc. 5000. "We're honored to be recognized on the 2022 Inc. 5000 List for the third consecutive year,” said Verl Allen, CEO of Claravine. “The past three years have been transformative for Claravine and being named to the Inc. 5000 is a testament to the incredible success of our clients and our world-class team. In the year ahead, we plan to focus on substantially expanding our integration library. Our goal is to be compatible with more major platforms powering digital advertising, including measurement solutions, creative optimization and content metadata. ” The companies on the 2022 Inc. 5000 have not only been successful, but have also demonstrated resilience amid supply chain woes, labor shortages, and the ongoing impact of Covid-19. Among the top 500, the average median three-year revenue growth rate soared to 2,144 percent. Together, those companies added more than 68,394 jobs over the past three years. Complete results of the Inc. 5000, including company profiles and an interactive database that can be sorted by industry, region, and other criteria, can be found at www. inc.... --- - Categories: Blog, Digital Marketing, Media / Ad Ops Imagine a world where you actually are capping out the number of campaigns (10k) and ad groups (20k) available in Google Ads (that combo goes up to 200 million ad groups, btw). While that seems nuts, large enterprises are definitely managing large volumes of campaigns, ad groups and ads. I asked someone who runs Google Ads for a lot of Fortune 500 companies and the average was between 200-300 campaigns and 5K+ in Ad Groups. It really just depends on the industry e. g. ecommerce vs. automotive. Let’s also assume you have inherited historical campaigns/ad groups from previous internal users, past agencies + all the current users and agencies inside your account. By the way, I recently heard of an enterprise company having 100 ACCOUNTS (I know, how? ! ) Given all of these permutations over time, how on earth can you manage and make sense of these at scale? Well, here are some suggestions for mass clean-up and management. What’s in an Ad Group? For starters, I like to think about Ad Groups, especially how they are named. It is unlikely that there were any rules or standards for naming those ad groups over time so most users put in something that just makes sense to them - they aren’t thinking about how that name might need to be understood by other users (current or future) let alone how that name might appear in your downstream reporting. Wouldn’t it be better if all the ad groups had some type... --- - Categories: Partners Taxonomy and Naming Convention Compliance is quickly becoming a critical area of focus for savvy agency leaders mindful of the shifting ecosystem sands where privacy, incremental measurement, and performance are concerned. And brand marketers are holding their agencies’ feet to the fire more and more in this area. In fact, it is with increasing frequency that brands are even going so far as to write compliance goals into contracts with their media buying agencies. Want to get paid? Run a disciplined practice. Taxonomy Compliance within Media Ops is, by all rights, a complicated and sometimes chaotic undertaking, with multiple, typically loosely aligned teams handling critical stages of a production journey that touches distinct (and not necessarily interoperable) technologies across booking, trafficking, and buying, for starters. If we presume a degree of taxonomy or naming convention maturity at point of origination can we fairly say that the series of disjointed processes that come next - the operationalization of taxonomy and naming conventions - is equally mature? Emphatically no. The typical “process” involved is a patchwork of de-centralized activities that are particularly vulnerable to an often-volatile human element. Organic occurrence of errors as the campaign production journey proceeds are to be expected. As are rogue or compartmentalized behaviors that bear no relationship to any centralized stated standard. The risk here, by definition, is immense, with often millions of media dollars in play and an array of downstream responsibilities - insights & optimization, reporting, BI - all corrupted by upstream disorder. This is... --- - Categories: News The recognition spotlights Claravine’s strategy and solution-based contributions to the digital advertising industry Lehi, UT, June 29, 2022 – Claravine, a pioneer in data integrity with its platform, The Data Standards Cloud, has been named to AdExchanger's 2022 Programmatic Power Players List. The Top 50 Programmatic Powers Players list is a definitive list of the top agencies and strategic partners in the digital advertising industry. Claravine empowers a proactive approach to data by activating standards across people and technology, bridging the silos that limit speed and decisions across digital experiences. The company has seen tremendous growth in customer adoption since the start of the year and has expanded its executive team with the appointments of Jackie Cooper as Vice President of Customer Experience and Olivia Mills as Senior Manager of People and Culture. "We are honored to be recognized as one of the leaders in the programmatic industry," commented Verl Allen, CEO of Claravine. "It’s our mission to ensure organizations have the best solution available to establish global data standards from the start in order to shift their focus, efforts and attention on how to better utilize data to enhance digital campaign performance. The Programmatic Power Players list further validates our consistent effort in enabling global organizations to create standards across their entire ecosystem for faster decisions and greater agility. ” As first-party data becomes paramount and industry-wide demand grows for more solutions for data standardization, measurement, and personalization, Claravine is substantially expanding its integration library to be compatible with... --- - Categories: Blog, Content Management Are you just starting out with Adobe Experience Manager or years into its use still thinking it could do much more for your business? We talk with customers regularly who are at different stages in the Experience Manager adoption process and it’s become clear - metadata management on assets, pages and everything in between is a chore (to say it nicely). It’s become obvious during these conversations (and spoiler alert, implementation of our technology with Experience Manager) that it’s paramount to get your data structure in order. Not just the structure, but the application of the metadata across all the assets you have or intend to create. Don’t wait to consider standardization for assets and site data ... and certainly don’t wait any longer if you have a mess on your hands. So, whether you’re at the beginning, you’re migrating to Experience Manager in the cloud, or you’re in deep, read on to see what’s at stake and what can be done about it. How to Solve - Getting to Value More Quickly So how does an organization address the underlying issues that make or break content automation and speed to market? Foundationally, they need to get standardized data inputs finally solved. They can no longer rely on antiquated and slow systems that are simply reactive, “clean-up” methodologies. Data has to be right at its point of origin and that starts with a unified data model aka content taxonomy. And that also can’t just be a conceptual diagram/plan that people... --- - Categories: Analytics, Blog, Digital Marketing “When is the right time for implementing standards? ” This is the question we hear the most when talking to organizations who are starting their data integrity journey. The honest answer is “the sooner the better” but we understand that every organization is balancing competing priorities. So, if you are trying to determine what makes the most sense given your various projects and objectives, read on! Problems to Watch for The best time to implement standards is different depending on your specific marketing challenges. Here are some situations that can make standards particularly valuable immediately. Situation 1: campaign tracking is a mess Tracking codes and parameters are inconsistent (or missing altogether) Building links - especially at scale - is slow and error-prone Parameter detail is visible on the URL which is exposing sensitive campaign info Data isn’t consistently captured because of tagging issues You’re losing out on valuable metadata about campaigns Analytics doesn’t have what they need for insights and measurement Sound familiar? This is a common challenge most organizations still grapple with. But data standards can help you align and enrich campaign tracking for more accurate, granular measurement and decisions. Situation 2: a lack of taxonomy wastes content and creative efforts Assets aren’t searchable or discoverable Missing or inaccurate page data disrupts personalization The volume of data we have is impossible to fix manually Hand-offs between creative and ops are a mess from inconsistent naming Content migration to a new DAM/CMS needs a taxonomy applied Can’t measure or figure... --- - Categories: Blog Non-standardized, inconsistent, and unreliable marketing data prevent organizations from thriving in an increasingly digital world where customer experience is paramount. Yet many organizations haven’t established data standards or a set of data components that uniformly describe data in a manner that meets all data consumers’ expectations. And their customers’ experience isn’t the only thing that suffers — they also contend with poor ROI on infrastructure and SaaS investments, productivity issues, the consequences of bad decisions, and lackluster marketing campaign performance. We will explain why data standardization is important, how to do it, and how it supports better marketing insights and decisions. We’ll also throw in some data standardization examples along the way. But first, let’s start with a fundamental question: why standardize data? Why Standardize Data? The effectiveness of your marketing efforts hinges on the usefulness of your underlying data. And unless it is in a consistent format that addresses the needs of all users, you can’t effectively analyze customer behavior, predict trends, nurture, target, and drive conversions. Standardizing data is becoming increasingly urgent as the drop-dead date for third-party cookies approaches. It’s the only way to make sense of the scores of first-party data organizations will be collecting. Standards also make campaign tracking possible, enabling you to determine the optimal mix of cookieless marketing tactics (i. e. , cohort marketing, marketing mix modeling (MMM), contextual marketing, and more). Unless you take steps to implement data standards before Google Chrome finally ends support of third-party cookies, you risk measurement blackout.... --- - Categories: News New investment to drive product development, expand integration library, and double company headcount this year Lehi, UT | May 17, 2022 08:00 AM Eastern Daylight Time Claravine, a pioneer in data integrity with its platform, The Data Standards Cloud, announced a $16 million Series B funding round. The round was led by Five Elms Capital with participation from existing investors Grayhawk Capital, Next Frontier Capital, Peninsula Ventures, Kickstart Fund and Silverton Partners. This new funding will help Claravine meet its aggressive growth goal of doubling its headcount this year, accelerating product development, and investing in its integrations to automate data standards across digital experiences. Founded in 2012, Claravine empowers a proactive approach to data by activating standards across people and technology – bridging the silos that limit speed and decisions. The company has forged successful partnerships with well-known Fortune 1000 companies such as Under Armour, Ancestry and Vanguard and is currently working with a quarter of the Fortune 100. With a collaborative user interface and strategic integrations with top customer experience platforms such as Adobe and Google, The Data Standards Cloud helps global organizations define, apply and connect standards across their ecosystem for faster decisions, greater agility and increased ROI. This latest round of funding comes as Claravine continues to experience significant company growth. As first-party data becomes paramount and industry-wide demand grows for more solutions for data standardization, measurement, and personalization, Claravine is substantially expanding its integration library to be compatible with more of the major platforms powering digital... --- - Categories: Analytics, Blog, Product Updates In early 2022, a seasoned user of The Data Standards Cloud and Adobe Analytics came to the Claravine Customer Success team hoping to solve an outstanding Adobe Analytics feature request ticket from 2018. After nearly four years without a solution, he turned to Claravine for help. The Challenge: Cleaning Up Clunky Stacks This Data Standards Cloud user was looking for an easy fix for viewing multiple dimension columns in Adobe’s Analysis Workspace, rather than having the information stacked. The analytics platform lacks an out-of-the-box solution for a concise, executive-summary-style report. Instead, it offers a view with not enough info or an un-intuitive detailed view that hampers comprehension. In this Claravine customer’s own words: “We’re looking to view multiple dimensions of a campaign in one view for quick executive readability and access. ” Initially, whenever you break down dimensions in Adobe Analytics, it stacks them line-by-line, which makes it hard to analyze. The screenshot below illustrates this tricky view. The circa-2018 Adobe recommendation to viewing a hierarchical breakdown (see below) is to select all the dimension rows (e. g. , Browser Type) and then drag and drop a new dimension (e. g. , Browser) for the more granular breakdown. While this sort of works in the interim, this option doesn’t go far enough to provide a clean dashboard that quickly highlights campaign breakdowns for senior leaders. “While their suggestion groups data using filters, it’s still not easy to consume and you have tiers of data that you have to drill into,”... --- - Categories: Blog, Product Updates Your company’s digital assets are some of its most valuable. That’s why you invest in a solution like Experience Manager. But sprawling content and marketing data, complicated by siloed teams and tools, means you're still struggling to properly automate digital customer experiences. Worry not — we’re here to support you for better automation, collaboration, optimization, and measurement. “In today’s digital-first world, marketers are challenged with delivering consistent content across multiple channels, as well as capturing actionable data to drive business decisions,” says Adobe’s Head of Platform Partners and Strategy Cody Crnkovich. That's why Claravine continues to enhance the ways in which The Data Standards Cloud integrates with Adobe’s powerful content and digital asset management system. The latest updates to Claravine’s Experience Manager integration make it easy to: Quickly locate, identify, and address asset and webpage data quality issues (at scale) Arm operations and analytics teams with the content and creative data they need Speak the same data language across all your tech Better optimize and measure content and creative performance We worked closely with Adobe to identify and develop integration opportunities most beneficial to Experience Manager users. Here’s how. Easily Deploy Your Taxonomy in Experience Manager and Beyond The Data Standards Cloud syncs metadata from Experience Manager into a template using custom settings by: Type of data (asset or webpage) File format or tag-based filters Field mappings Then, platform users can quickly identify data quality issues, while updating and enriching their data based on their use case. This improved and... --- - Categories: Blog, Digital Marketing It’s almost “lights out” for 3rd-party cookies, yet only 34% of brands have a strategy to accommodate the changes. We get it — while a first party data strategy shift is logical and ideal, it’s not like you’e just flipping the switch from “3” to “1”. Transitioning to first party cookies and other ways of collecting 1P data faces plenty of complications, which we’ll dive into here. Learning about the challenges you’ll face — and knowing how to proactively combat them — sets your organization’s 1P data strategy up for success. That’s why we’re sharing insights from our study on 1P data adoption as well as from brands currently navigating the transition. And guiding you on how to prepare for and overcome the challenges ahead and forge into first party data with confidence. But first, in case you need to be reminded why you’re putting yourself through this shift in the first place... Solving Your 1P Data Strategy Challenges First-Party Data: The Best Kind of Data The information you collect directly from your prospects and customers is the holy grail of marketing data. It’s about as trustworthy, accurate, and insightful as it gets. Prioritizing first-party data is mission-critical given the deprecation of third-party cookies and the expectation for personalized customer experiences that respect consumer privacy. So it’s not surprising that our study found that 72% of advertisers plan to increase their budgets and staffing to collect more 1P data in 2022. But every investment begs a healthy return. Advertisers and... --- - Categories: News Trusted Data Management Company receives 10 G2 Accolades for Spring 2022, marking Claravine’s sixth consecutive quarter receiving this type of recognition Claravine, a pioneer in data integrity with its platform, today announced that it has been recognized as a Momentum Leader in Data Governance Category and Best Enterprise Relationship Index for Data Governance in the Spring 2022 G2 Rankings. Claravine’s solutions also received recognition in the G2 2022 Spring Reports as an Enterprise High Performer and for “Easiest to Do Business With. ” The Spring 2022 G2 Report adds momentum to Claravine’s growth trajectory as it plans to invest significantly in talent, product development and integration partnerships in the year ahead. Used by Fortune 1000 companies such as Under Armour and Vanguard, Claravine’s collaborative user interface and strategic integrations with top marketing and advertising platforms enables global organizations to define, apply and connect standards across their ecosystem for faster decisions, greater agility and increased ROI. Claravine empowers a proactive approach to marketing measurement by activating data standards across people and technology – bridging the silos that limit speed and decisions. “Claravine is thrilled to start another year with such positive feedback. We are proud that our users continue to highlight our industry-leading, easy-to-use solutions as well as our commitment to remarkable client service,” said Verl Allen, CEO of Claravine. “The G2 rankings validate our consistent investment in enabling global organizations to create standards across their entire ecosystem for faster decisions and greater agility. ” G2 High Performers are determined and... --- - Categories: Blog, Digital Marketing Marketing and advertising media — and the industry in general — is making a lot of noise around data clean rooms as the Holy Grail solution for post-cookie measurement. But without tackling the “messy data” problem, clean rooms are only going to disappoint in their insights and ROI. The problem lies in the metadata: Most advertisers don’t have the right tech to collect first-party data. 83% of advertisers say they will be more reliant on first-party data, but only 38% are sure they have the right technology to categorize their data with metadata. And metadata plays an integral role in allowing data to converge and be more valuable than its sum. It does the heavy lifting as the sets are aggregated to surface insights that help marketers in planning, activation, and measurement. (Source: Optable) So no matter how much data you bring to or access via a data clean room, the integrity of your data, down to its metadata, will be a deciding factor in whether you’re able to extract value from the clean room's capabilities. The issues potentially solved by clean rooms such as privacy protection, scalability, quality, and enrichment, are all rooted in the context of your data. Digging into these issues uncovers a clear need to address data integrity before and during clean room exploration. Keep Your Messy Data Out of These Clean Rooms Privacy? Plenty. Trust? Well... Clean rooms use some nifty tech to bring all the available data to the surface without telling a company... --- - Categories: Analytics, Blog Europe, via GDPR and other measures, has restricted America’s access to Europeans’ data over concerns about privacy and security at both the individual and government levels. That’s led to an overall decrease in the ability to share data between regions. And that’s a problem for businesses looking to do business around the world. Luckily, an international solution is in the works: global data standards. Unluckily, it’s still so far from fruition, you’ll need to act on your own. Taxonomy Goes Global Geopolitical & Economic Pressures Illuminate a Path to Global Data Standards The push for global data standards isn’t new. But it's been stalled for years. So while data sharing agreement talks became mere whispers, the March 2022 Ukraine invasion added urgency to the cause and sparked new, productive talks between American and European leaders. With a tragic war underway in Ukraine, Western governments inch to the edge of their seats as they watch for signs of escalation into European Union territory. But they’re not just watching ground and air forces — Russia’s cyber attack capabilities may be on highest alert to the United States and EU. And what’s at the core of cyber activities? Data. Case in point: President Biden made a stop during his March trip to Europe to shake hands with European Commission President Ursula von der Leyen over advancements in data sharing — and protection — between the regions. They’d like to present a unified front in the digital space, too. But Global Data Standardization isn’t... --- - Categories: Blog, Media / Ad Ops The IAB announced today its updated ad format guidelines for CTV (Connected TV), spurred by the rapid expansion of the sector and accompanying rise in ad spend. Interestingly, they also allude to the rising workflow inefficiency brands face in keeping up with CTV proliferation. The goals of the update include: Minimizing the fragmentation of ad formats Standardizing formats and metadata Reducing the costs of producing assets in disparate formats Transitioning seamlessly from linear to CTV Staying agile to new CTV developments, such as interactivity Scaling both buy-side and sell-side with programmatic Enacting technical standards The IAB has opened its standards for comment from the industry so it can align with existing “creative file requirements so that this guideline defines the baseline ad creative requirements to make it easier for brands and agencies to develop and submit ads for their available inventory. ” It’s a major step in the right direction. But it still falls short of: Enabling the pie-in-the-sky promises of Addressable TV Activating data standards — within the adtech/CTV industries nor within brands themselves Being future-proof and agile for whatever form of media, concern around privacy, or development in CX comes next What we’re seeing in CTV measurement today is only the tip of the iceberg and it only concerns what’s available today — not what will develop in the future. Simply kicking back and relying on the IAB to dictate and activate data standards is almost as risky as not leveraging data standards at all. Brands must instead... --- - Categories: News Trusted Data Management Company Taps Top Talent to Strengthen Company Culture and Support Growth Goals Lehi, UT - March 30, 2022 - Claravine, a pioneer in data integrity with its platform, The Data Standards Cloud, has expanded its senior leadership team with the appointment of Olivia Mills, who joins as the Senior Manager of People and Culture. Mills is responsible for supporting the aggressive growth goals of the company to double its headcount this year and to continue to build and amplify Claravine’s strong remote-first company culture, which is centered around a commitment to people development and customer focus. Claravine has a strong foothold in the marketing technology landscape, working with brands like Under Armour, Ancestry and Vanguard, among other Fortune 1000 companies. As part of its expansion this year, the company is planning to hire key roles for teams in the disciplines of customer success, product management & design, sales, business development, marketing, accounting & operations and engineering. Mills will be developing and executing against the growth strategy that focuses on team member empowerment, talent acquisition and recruitment, employee culture in the virtual-first environment as well as diversity, equity and inclusion (DEI). Claravine empowers a proactive approach to marketing measurement by activating data standards across people and technology – bridging the silos that limit speed and decisions. With a collaborative user interface and strategic integrations with top data management platforms such as Adobe and Google, The Data Standards Cloud platform enables global organizations to define, apply and connect standards... --- - Categories: Blog, Digital Marketing The effectiveness of marketing efforts was much easier to quantify when there were only a few media channels from which to choose. (Can you even remember that far back! ? ) These days it’s not so simple. Today’s marketers must contend with big data, a constantly evolving digital landscape, and expectations of hyper-personalization (without breaching privacy, of course). Then there’s the unrelenting pressure to regularly prove the value of their efforts to stakeholders, something only 35% of marketers feel they can quantify. Marketers can use three broad approaches to demonstrate the impact of marketing spend across their channels: single-touch attribution, multi-touch attribution, and marketing mix modeling. That last one has experienced a bit of renaissance thanks to the impending demise of third party cookies, and we think it’s worth including in your measurement strategy. We’ll start with a definition of marketing mix modeling and a brief look back at its origins. Then we’ll detail how MMM works, why it’s valuable in a post-cookie world, and how it fits into a broader marketing measurement strategy. And, of course, we’ll share some MMM examples along the way. Let’s go! Getting Comfy-Cozy with MMM What is Marketing Mix Modeling (AKA Media Mix Modeling & MMM)? Every marketer understands the 4Ps of the marketing mix — product, price, place, and promotion— and the role they play in marketing a product or service. Marketing mix modeling, also known as media mix modeling, measures how much success can be attributed to these elements. In other words:... --- - Categories: Blog, Digital Marketing According to Gartner, bad data costs the average organization nearly $14 million a year. Bad marketing data is undoubtedly a leading contributor to this problem and will remain so as companies collect increasing amounts of data about their audience, behaviors, and marketing activities. Of course, crummy marketing data doesn’t just hurt your marketing efforts — it infiltrates every department, creating a chain of errors that puts the entire organization at risk. We’re going to explore how bad marketing can impact eight key departments. But first, let’s define “bad marketing data” and review the consequences of relying on it for creation and decision-making. Understand the Ripple Effects of Bad Marketing Data What Qualifies as “Bad” Marketing Data? Marketing data is the information collected from any touchpoint or interaction between prospects or customers and a brand. It includes customer information, sales metrics, market research, competitive insight, commercial transactions, marketing metrics, and plenty more. Bad or poor quality data describes information that is one or more of the following: Incomplete Inaccurate Irrelevant Non-conforming Duplicative Lacking standards Bad marketing data is also the data that’s being collected but not used — data that sits in a SaaS platform or warehouse, siloed from the teams and tools that can make use of it. What are the Consequences of Bad Marketing Data? Data can be compromised in numerous ways — lack of integration, inconsistent collection protocols, poor migration, and data decay. Understandably, it’s challenging to ensure data quality — let alone data integrity — throughout the... --- - Categories: Blog, Digital Marketing You’re here because you’re facing an uncomfortable truth: not only are your marketing campaigns not living up to expectations, you’re not even confident in the measurements you’re making. But you’re in the right place — learning about the emergence of marketing effectiveness as the determination of success and ROI. Today’s marketer has almost too many marketing channels and tactics to choose from. Too many choices could be why marketers estimate they waste 26% of their marketing budget. You’re probably in the same boat — and likely spinning your wheels on ineffective media elements or playing it safe with tried-and-true methods. But a little innovation and analysis could drive even more revenue. If you’re new to the subject of marketing effectiveness in the post-cookie world, we’ll put you on the path to gaining a holistic view of marketing’s contribution to your company’s bottom line. We’ll start with a definition of marketing effectiveness and how to measure it. Then we’ll detail some essential marketing effectiveness measurement metrics (and clear up any confusion between marketing and media effectiveness) and an emerging role responsible for both. Finally, we’ll address the barriers to measurement and offer solutions to overcome them. Marketing Effectiveness Mastery What Does Marketing Effectiveness Mean? Marketing effectiveness measures how much revenue campaigns are generating while lowering the cost of customer acquisition. The way organizations measure marketing performance has evolved as marketers have gained access to real-time data. Modern marketing strategies are data-driven and primarily digital, making today’s campaigns easier to track and... --- - Categories: Blog, Digital Marketing In a recent survey, 51% of senior-level US marketers revealed they continue to rely on third party cookies for the majority of their digital marketing strategy data — even though they know the end is ever closer. Sometime in 2023, Google Chrome will finally do what Firefox and Safari did years ago and block third-party cookies. (Have you heard about Google’s upcoming Topics? ) Smart brands recognize the need to shift to the collection method that’s not going away: first party cookies. According to Claravine’s first party data study, 72% of advertisers have already made plans to increase budgets and staffing to collect first party data. Whether you’re in the planning stages, you’ve already expanded your first party data collection, or you’ve been putting off making changes altogether, we’ll cover what every digital marketer needs to know about first party cookies. We’ll start with a definition of first party cookies and how they differ from third party cookies. Then we’ll touch on why you should incorporate first-party cookies in your marketing strategy. Finally, we’ll share how to expand your first party data collection. First Party Cookies Explained What is a First Party Cookie? Before we define first-party cookies, let’s review: what is first-party data? First party data is the information you collect about people who visit your website or mobile app. Because you collect it yourself, you can be sure of its accuracy and data integrity (granted you have data standards activated. This is why first party data is so... --- - Categories: Blog, Digital Marketing GDRP and privacy laws have upended the way brands collect and leverage data to target their audiences. As third party cookies circle the drain, brands are pursuing other ways to delve into the minds of their prospects and customers. Collecting more first party data is the obvious choice, as Claravine’s recent first party data study relates. But while 86% of marketers recognize first party data will be vital to collect going forward, it isn’t the only way to ensure regulatory compliance and effective campaigns. More and more brands are leveraging trusted partners’ data, or second party data, to minimize risk and provide relevant targeted customer experiences. So while you evaluate your first party data collection and management methods, consider obtaining second party data to really supercharge your strategy. We’ll help you get started. First, we’ll review the different types of data you can collect. Then we’ll review the advantages of second party data and why it's an essential part of your first party strategy. Finally, we’ll touch on the importance of establishing metadata management and data standards as you solidify your data collection strategy. You need a comprehensive understanding of your prospects and customers to maximize the effectiveness of your marketing campaigns. Let’s start by exploring the four different types of data you can collect about your audience. Second Party Data Explained What is Second Party Data? Second party data is the first party data of a trusted partner who either shares your audience or whose audience you’d like to... --- - Categories: Blog, Digital Marketing Your company's revenue depends heavily on decisions informed by your marketing operation's key performance indicators, or KPIs. A data-driven marketing (and business) strategy is only successful when it’s built upon the right KPIs. A data-driven analysis helps marketing operations leaders find gaps in the marketing plan, gain new insights, and discover trends. Despite fierce competition for attention and many KPIs to watch, many marketing leaders ignore the most crucial ones, resulting in incomplete information and a waste of money and time. A 2021 survey by HubSpot discovered that 74% of marketers didn't know their campaign performance metrics. Choosing the proper KPI involves answering questions like: What is your company's core business? What is your company's goal? To sell more or to generate more leads? What are the results needed to make the campaign successful for every stakeholder? "Top KPIs? There's no consensus amongst marketing operations professionals. Some are driven by traditional marketing metrics — high-level, like revenue, sales, and channel-specific views on them,” explains Michael Shearer, Sr. Director, Digital Innovation & Strategy at Clarvine. “But others are driven more by something like sprint performance, a common software dev-type metric for project management,” he continues. “NPS feedback from internal stakeholders on the efficacy of marketing’s support on their own sales, retention, and upsell objectives can also factor in. ” How you go about measuring a marketing operations team will depend on the needs of the business, its stakeholders, and how they view success. But if you want to approach them with... --- - Categories: Analytics, Digital Marketing You have to give it to the adtech industry — it doesn’t take long to find workarounds and next-best-things. One such solution is data clean rooms: secure and encrypted software platforms to share and “play with” anonymized, aggregated customer data without revealing raw data (or PII). Data clean rooms may be the key, or at least one of them, to executing privacy-friendly measurement strategies. Take a closer look at data clean rooms: what they are, why they matter, and how the right data strategy will enhance clean rooms’ value. You’ll find a promising path towards the much-talked-about, but rarely realized, holistic measurement endgame. With the end of the third-party cookie looming and Apple’s IDFA deprecation well underway, agencies, brands, publishers, and walled gardens are scrambling to find — or create — alternative measurement and attribution strategies. Get Your Hands Dirty in Data Clean Rooms What is a Data Clean Room? Data clean rooms are encrypted, secure environments in which companies can match and aggregate anonymized first-party data with data from the clean room provider. If there were a sign hanging above a data clean room’s “door,” it would say something like, “privacy guaranteed. ” If a data clean room were a bar, it would be a speakeasy — the type that doesn't allow cell phones, but does encourage the clinking of glasses and sharing of stories between friends. Of course, a more sterile analogy is obvious: hermetically sealed chambers that preserve a distinct atmosphere and environment. Media companies can safely... --- - Categories: Digital Marketing, Media / Ad Ops Cohorts in marketing, measurement, and analytics aren’t new. But in the age of privacy-friendly marketing, they’re getting a lot more attention. Why? Because cohort analysis enables marketers to group users together based not only on demographics, but shared events, interests, and behaviors — without compromising Personal Identifiable Information (PII). According to Claravine's study on the shift to first party data, 83% of advertisers believe they will be more reliant on first party data, and 81% are shifting from device-level focus to group-level marketing, which could include cohort marketing. In this post, you’ll learn what cohort marketing is and isn’t, why it’s particularly relevant in a privacy-friendly climate, and how metadata management informs a cohort marketing strategy. Get Started with Cohort Marketing What is a Cohort... and Cohort Marketing? In marketing, a cohort is a group that is statistically likely to share defined characteristics, such as demographic tendencies, an experience, or behavior. A cohort could be a group of users of a certain age, who live in a particular region, who all downloaded a mobile app within a certain time period. Or, marketers might build a cohort of folks who attended a concert or lived through a certain experience. You can get pretty granular — if you have the right consumer data and tools. Cohort analysis (which informs cohort marketing) is a type of customer behavioral analysis based on audience cohorts. Statisticians, scientists, researchers, and yes, marketers use cohort analysis to understand a group’s behavior over time. Google Analytics offers cohort... --- - Categories: Blog, Content Management, Media / Ad Ops, Product Updates Adobe Workfront users can now integrate workflow data across and beyond the Adobe Experience Cloud ecosystem with Claravine. Automate manual steps, accelerate creative production, streamline marketing operations, and enable end-to-end performance measurement by deploying data standards. Teams can seamlessly pass information back and forth between Workfront and the Claravine platform, The Data Standards Cloud, thanks to pre-configured Blueprints in Adobe Workfront Fusion built on the Claravine API. Easily customizable to the specific data standards that suit your enterprise, the real-time asynchronous Claravine-Workfront connection revolutionizes how your teams manage, create, deploy, and measure campaigns. Here’s how. https://claravine. wistia. com/medias/6y1mt0vtoi Standardize Naming Conventions in Workfront — Automatically Your teams are pros when it comes to filling in Workfront fields. But what happens when the data you’re entering about a project — such as team, agency, audience, channel, region, timing, or journey details — needs to be referenced for something else, like a campaign or asset name? Manually enforcing naming guidelines like you are today is frustrating and error-prone. Instead, Claravine enables an exact, standardized structure and format for any data entered in Workfront as it’s created, right in the platform. So the Workfront workflow is undisturbed, and its standardized data is ready to use broadly. How does it work? You configure a pre-built Fusion Blueprint to fit your Workfront scenarios and connect it to The Data Standards Cloud. Your teams fill in and save core task fields like they always do. Meanwhile, The Data Standards Cloud generates a name in your custom... --- - Categories: Analytics, Blog, Content Management Data silos (sometimes lumped in as “information silos”) and similar silos of communication and collaboration tools are costing your organization dearly. They degrade not only your organization’s data quality, but its cornerstone of strategy, too: data integrity. Trying to rely on data stuck in silos prevents collaboration, hinders access to data for business intelligence, and obscures the view of your customers’ experience — to name only a few of the risks. The shift to first-party data collection and data sprawl has only compounded their impact as more and more data becomes effectively inaccessible across the organization. Consequently, addressing data silos and the behavior that leads to them is mission-critical for organizations to be data-driven and competitive. To deconstruct your data silos and rebuild them as cohesive, standardized, cooperative data bridges with infallible structural integrity, you should be asking the following questions: What Are Data Silos? Data silos, or information silos, are compartmentalized repositories of data that don’t link to the other applications within your IT infrastructure, nor between any team other than the originator. The root of data silos comes from traditional organizational structures in which each department created, managed, and analyzed its own data. With narrower fields of data creation available, the intersection of usefulness — let alone efficient sharing — between teams rarely arose. For example, early customer relationship management (CRM) solutions were like online Rolodexes for sales reps to track prospects, customers, and call notes. However, they were standalone systems that didn’t link to the customer data... --- - Categories: Blog, Content Management, Digital Marketing Welp, that was quick: FLoC is out and Topics are in at Google as the replacement for third-party cookies. R. I. P Federated Learning of Cohorts, we didn’t even really know you. What is Google Topics? Product Director, Privacy Vinay Goel tells us Topics is, “a new Privacy Sandbox proposal for interest-based advertising,” that came to be after presumably negative “widespread community feedback from our earlier FLoC trials... ” Goel’s objective for Google’s users? Provide an alternative to users and advertisers that avoids what he calls “covert tracking techniques, like browser fingerprinting,” so that advertisers (and those who make money from them, like Google) can “continue serving relevant ads. ” Here’s how Google Topics works: Chrome browser looks at your history on a device-only level to assign three topics of interest (roughly 350 of them), such as “fitness” or “travel” — without external servers — based on the site’s content. Five of the most commonly triggered topics represent browser activity for the past week. Topics are deleted after three weeks. When you visit a website in Google’s network, it will provide that site with your top five topics, which they can use to target your ads. (There’s also a 5% chance a random topic is returned. ) Google gives users access and power to see and delete topics — or disable the feature entirely, to remove the user from Google Topics tracking. Think of the browser as the individual. Browsing behaviors are still collected, but instead of being shared in... --- - Categories: Analytics, Blog, Content Management, Digital Marketing, Media / Ad Ops Data integrity issues can be aggravating, like when they cause a momentary loss of access to a data set. They can also be catastrophic, like when they lead to a PII data breach of your entire customer base. Here’s how to avoid that. Failing to address data integrity problems can have costly, far-reaching consequences in terms of lost productivity and revenue, squandered opportunities, and reputation damage. An IBM study estimated that bad data costs the U. S. $3. 1 trillion annually. As more organizations pursue data democratization, they must establish data integrity best practices to ensure that expanding access to data drives real business value. Read on to uncover the top (read: costliest) data integrity issues organizations should be aware of and how to resolve them. Then dive into how data integrity issues impact your business through three lenses: marketing performance, operations, and compliance. Let’s get started. (Wait — are you asking yourself, What is data integrity? That’s OK, just start with our overview of enterprise data integrity. ) In This Article Organizations that establish a robust data governance framework with data integrity best practices are well-positioned to make accurate, informed decisions that support continued growth and competitive advantage. Unfortunately, many businesses fail to prioritize data integrity and are left to grapple with the consequences of bad data — not to mention the realization that remediation is far more costly and time-consuming than establishing good practices in the first place. Here are seven examples of data integrity issues and how... --- - Categories: Analytics, Digital Marketing Your company has data. Lots of data. It’s been collecting it for years (decades? ) from third parties and has also been hoarding stacks of first-party data (literal gold) from a plethora of CX touchpoints. There are millions of dollars going into data collection and creation — but there’s too much unrealized ROI, overlapping SaaS tools, duplicate or wasted assets, and inefficient or broken collaboration. Data sprawl is real and it’s as full of risk as it is with opportunity. So, how do you stop wasting your (mountains of) marketing data and make better data-driven decisions? The first step is to acknowledge a cold, hard truth: your company isn’t effectively organizing and storing its data. It’s also not ensuring a high enough level of data quality. Bad data in, bad data out. The insights pulled from your current data warehouse and interface are handicapped by the pitfalls of your current data management strategy — and within that, your metadata management strategy. You’re capturing data from globally dispersed teams using an ever-growing web of SaaS tools to do their jobs. The headaches of data sprawl and data waste occur when there’s a lack of data standards. Data standards create a common language — a unified taxonomy — of naming conventions, values, and other aspects of individual data assets. It's a concept central to data integrity, itself crucial for any marketing strategy, data strategy, or measurement strategy to be effective and competitive. So no matter where you look in 2022's post-cookie, post-IDFA... --- - Categories: Digital Marketing, Media / Ad Ops Headlines will have you believe the sky is falling, but allowing iOS users to opt-in or out of data tracking will not, actually, cause the mobile marketing ecosystem to crumble. Confusions abound and learning curves are inevitable, but IDFA deprecation is the wake-up call many organizations need. Effective measurement and attribution require thoughtful, aggregated measurement strategies — and there is no time to waste in developing them. In This Article What's Happening with Mobile Measurement as We Know It? While App Tracking Transparency (ATT) — Apple’s updated privacy and data collection framework that requires mobile marketers to ask user permissions to track them across apps and websites — isn’t perfect, it does send a clear signal that a user’s data belongs to them. Some industry experts challenge the effectiveness (ATT), noting that tracking is still happening, and app developers can still acquire anonymized, aggregated user data from other devices that effectively unmask a user’s identity. According to Apple’s website, Apple does not consider it tracking if the data cannot be used to identify the end-user or device. How these dueling perspectives play out as Apple’s (and Google’s, etc. ) policies mature is yet to be seen, but you don’t have to wait and see. You can take a proactive data management and measurement approach to shield from the next evolutions in tracking policy. Regardless of how one defines tracking, the dominoes will continue to fall, meaning app developers and marketers will continue to lose visibility into an individual’s user behavior.... --- - Categories: Analytics, Blog, Digital Marketing SaaS sprawl, the unstoppable snowball of more and more tools at an enterprise’s disposal, underscores an even more important, foundational concept: data sprawl. Data sprawl threatens to upend your ability to get the most value from your tools (we’re talking ROI) and to collaborate effectively across departments, regions, and partners. Unchecked data sprawl threatens the very core of your data-driven organization. Proactive leaders across the enterprise data spectrum look to data standards as the cornerstone of fully utilized data, no matter the extent of the sprawl. Here’s how to combat — nay, embrace — SaaS sprawl and its accompanying, and even more prescient, data sprawl. Data sprawl, if left unchecked, will lead enterprises to miss out on the value of their SaaS, hamstring talented teams, and degrade the accuracy of data-derived insights (which is, let’s be real, all of them). It also threatens the value and security of your data center itself. Careful data sprawl management isn’t easy, but it is accessible. A Refresher on SaaS Sprawl TechCrunch explains that SaaS sprawl is much more than the hundreds of apps (and more every day) deployed by large organizations (700-3,000 employees). The sprawl in SaaS tools is only the tip of the iceberg — as TechCrunch aptly visualizes as a SaaS-berg. The author breaks the sprawl down into a few categories representing larger and larger, deeper and deeper layers of software-service expansion and IT touchpoints: Service sprawl — the ever-growing stack of tech tools used by enterprises for marketing, content, analytics,... --- --- ## Case Studies --- ## Integrations --- ## Partners ---