Smart Correct: Fixing Marketing Data Errors In One Click, Not One Hour
Anyone who has run a marketing data governance program knows the pattern. Your platform flags the errors. Someone still has to fix them. Validation has always been one of Claravine’s core strengths. When data enters the platform, whether through an inbound integration or a manual upload, every row gets checked against your defined data standards. Fields that fall out of standard get flagged in red so you can catch bad metadata before it reaches your analytics stack or data warehouse.
But validation is only half the job. Correction is where the work piles up. Fixing errors by hand takes hours, and when teams are stretched, corrections get deferred or skipped entirely. The bad data flows downstream anyway. Then you’re reconciling campaign reports that don’t match, and nobody remembers whether “Q1” ever made it out of the year column.
Smart Correct is built for that second half. It suggests standard-aligned corrections with a single click, using your account’s taxonomy, templates, and lists. You review every suggestion, edit what you want, and submit. Whether you’re looking at a handful of fixes or hundreds of rows, corrections that used to take hours can take minutes.
How it works
Smart Correct is available in two places: the Pending tab, where you review inbound data, and the Submission Create page, where you can apply corrections while building a new submission.
The flow in Pending looks like this:
- Data arrives through an inbound integration or manual upload.
- The platform highlights errored fields in red.
- Select Edit, choose your rows, and click Smart Correct.
- Suggested values appear in green. Hover over any field to see detail about the suggestion.
- Finalize your edits and submit.
You stay in control the whole way. Nothing changes without your review, and on the Submission Create page, you can revert every suggestion at once with Mass Revert if you change your mind.
What Smart Correct can fix
The corrections cover the error types that show up constantly in marketing data workflows:
Prefixes and suffixes. If your naming convention requires a field to begin with CVAI- and someone types CVA-Field-1, Smart Correct suggests CVAI-Field-1. Misspelled, omitted, or misplaced prefixes and suffixes all get caught.
Disallowed characters. Fields with exclusion rules for numbers or spaces get cleaned up. “1920 x 1080” becomes “1920×1080” when spaces aren’t allowed.
Misspelled list values. “Lamburghin” becomes “Lamborghini.” Small typos and formatting issues in dropdown fields get matched back to your valid list values.
Swapped fields. When someone puts “Q1” in the year column and “2025” in the quarter column, Smart Correct recognizes the swap and puts each value where it belongs.
Drilldown and dependent lists. These are the corrections a person reviewing rows manually would struggle to make quickly. Because drilldown lists constrain what values are valid based on other fields in the row, Smart Correct can narrow the options and fix errors in context. If Country is “Canada” and Metro says “Trnto,” it knows the answer is “Toronto.” It can even fill a blank field when the surrounding values leave only one possible option.
Malformed dates. A field expecting MM/DD/YYYY that receives “5.12.26” gets corrected to “05/12/2026,” as long as the original value is still interpretable as a date.
What AI adds
The standard version of Smart Correct works for every Claravine customer, on any tier, using rule-based logic against your taxonomy and templates.
For customers with AI contracting in place, Claravine AI extends what Smart Correct can recognize. The clearest example is abbreviations. Rule-based logic can catch a typo, but it takes AI to know that “US” in a list field means “USA,” or that “CAN” in a drilldown under North America means “Canada.” AI-powered corrections are labeled as such in the platform, so your team always knows when AI was involved in a suggestion.
Note for current customers: Using the AI-powered version requires an AI addendum to your contract. If your organization has an AI policy to satisfy, we support multiple model options to help you comply. Talk to your customer success team to get started.
What it deliberately won’t fix
This part matters for anyone accountable for data governance: Smart Correct is designed to catch data entry errors, not to paper over template problems. If a suggested correction would significantly change the original value, Smart Correct holds back. A value that’s wildly different from anything in your list probably isn’t a typo. It’s a sign that your template and your source system have drifted apart, and the right fix is to update the template, not to silently rewrite the data. The same logic applies to empty cells: with no context to work from, Smart Correct won’t guess (the exception is drilldown fields, where related values in the row can point to a single valid answer).
That conservatism is intentional. For data governance, a missed correction is easy to catch and fix. A wrong correction that looks fixed can quietly spread through your reporting before anyone notices.
Better data governance, less manual work
Marketing data governance only works if the correction step is fast enough that teams actually do it. Smart Correct removes the main reason corrections get skipped: the manual re-entry. Paired with features like automatic submission, it shortens the path from inbound data to error-free, standards-aligned records ready for activation and reporting. Smart Correct is available now in your Claravine instance. If you want to explore the AI-powered capabilities, reach out to your customer success team about AI contracting.
