CJA is only as powerful as the data behind it.
Customer Journey Analytics can connect every touchpoint across the customer journey. But when the data coming in carries inconsistent naming, mismatched identifiers, and taxonomy that varies by team, the connections don’t hold. Claravine standardizes that data before it ever reaches CJA — so the analysis reflects what actually happened.
THE PROBLEM
Cross-channel analysis breaks down when the source data doesn’t agree
CJA is built for complexity — stitching data across paid, owned, and earned channels, across devices, across time. Most organizations have the tool configured correctly. What they’re missing is consistent data going into it.
Different teams name things differently. Campaign identifiers don’t match across channels. Taxonomy applied in one market doesn’t carry over to another. By the time that data reaches CJA, the joins fail, the dimensions conflict, and the journey analysis tells a story that’s only partially true.
The problem isn’t CJA. It’s what happens upstream — before the data is collected, before it’s sent, before anyone opens a workspace. That’s where Claravine works.
HOW CLARAVINE FITS
What it does
Claravine integrates with Customer Journey Analytics to standardize the data your team creates before it reaches CJA. The result is a dataset that’s consistent enough to actually stitch — and an analysis you can stand behind.
Consistent dimensions across every channel
CJA joins data across sources — but only if those sources use the same identifiers. Claravine standardizes taxonomy, tracking codes, and naming conventions at the point of creation, so the data arriving in CJA speaks the same language regardless of which team or channel it came from.
Consistent dimensions from campaign creation means CJA has what it needs to stitch journeys accurately across channels, devices, and time.
Attribution and data views that reflect how campaigns were actually built
Attribution models in CJA require consistent touchpoint data from start to finish. When one channel uses a different naming convention than another, credit gets misassigned — or lost entirely. Claravine standardizes the metadata on every touchpoint at the source, so the model can attribute accurately across the full path.
Those same standards align with how your data views are configured in CJA — so dimensions, metrics, and filters in your workspace map to real campaign data without manual reconciliation. What your team defined in Claravine is what shows up in CJA. No translation layer required.
Less time cleaning. More time answering questions.
The first thing most analytics teams do before any CJA analysis is reconcile the data — matching values across sources, correcting naming inconsistencies, figuring out why two dimensions that should match don’t. Claravine eliminates that step.
When the data arrives in CJA already standardized, analysts can start immediately. The work shifts from data preparation to actual insight.
What your team defined in Claravine is what shows up in CJA. No translation layer required.
Who its for
Built for the teams that need CJA to be reliable.
Analytics leaders
Your CJA implementation is only as trustworthy as its inputs. If source data is inconsistent, every workspace, every attribution model, and every report built on top of it inherits that inconsistency. Stakeholders ask questions your data can’t answer cleanly — and you end up explaining the gap instead of the insight.
Claravine makes sure the metadata arriving in your data views is what your team agreed it should be. Analysis can start from a foundation that holds up when someone asks how the numbers were derived.
- Reduce time spent reconciling data before analysis
- Trust that dimensions mean the same thing across sources
- Produce CJA outputs that stand up to scrutiny
Marketing strategy and ops
Cross-channel journey analysis is only possible when every channel contributes data that’s structured the same way. If your paid team tracks campaigns differently than your email team, or your APAC markets use different naming than EMEA, CJA can’t stitch it. You get a partial picture and call it the full one.
Claravine standardizes how campaigns are created and tracked across every team and market — so the journey data in CJA reflects the actual path, not just the parts that were consistent enough to join.
- Multi-touch attribution across paid, owned, and earned without manual cleanup
- Journey analysis that works across regions and business units
- ROI reporting that accounts for the full path, not just what was easy to track
See what CJA looks like when the data is right.
Most CJA problems start upstream. Claravine fixes them there — so your team spends time on analysis, not data prep.
Ready to stop reconciling data and start using it?
Book a 30-minute no-pressure demo to get started.