Claravine for Data & Analytics Teams

Your analysts reconcile campaign data instead of analyzing it

Claravine governs campaign taxonomy at entry, so what lands in Snowflake and Adobe Analytics is already correct.

“We have shifted the mindset from 'data is the problem' to now, 'data is the solution' and we are recognized as strategic partners who help drive the business forward with deep insights, solutions, and new ideas.”
Andrew Laycock, Analytics Manager – Direct to Consumer, Carhartt

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Your analysis budget is going to cleanup

Late answers carrying a caveat are what cost your team standing with the business.

Names don’t match between Google Ads and your Snowflake tables.

Tracking parameters drift the moment more than one person creates them.

The model waits on a cleanup pass, and the answer lands late.

Fix it at entry

Runs on The Data Standards Cloud: templates and controlled vocabularies, the naming engine, real-time validation, and 31 native connectors including Adobe Analytics, Snowflake, Amazon S3 and Azure Blob. Its AI is optional: every suggestion is reviewed before it applies, and you can bring your own model.

Generate the name, don’t type it

Campaign names, tracking codes and parameters are generated from a template. Nobody has to remember a convention.

Carry one key across every system

Every campaign carries a single identifier that holds across the ad platform, the analytics tool and the warehouse. That is what makes cross-system stitching possible.

Reject bad values at entry

Validation rejects the error on entry, not in a report six weeks later when the spend is committed.

What changes for your team

This is what earns the page its own URL: the working day, not the feature list.

Give analyst time back to analysis

Inputs arrive validated, so attribution, MMM and AI models are not gated on a cleanup pass. For the analyst that is the week back. For you it is capacity you no longer hire around.

Stitch systems without a manual join

One campaign identifier plus modeled relationships, delivered into Snowflake, Amazon S3 or Azure. The stitching holds without anyone maintaining it.

Score data quality by team

A compliance score that moves over time, with drill-down by team and channel and the gaps named. Claravine gives you the difference between asserting the data improved and showing it.

Who else has to say yes

Campaign taxonomy crosses teams, and it fails at the handoffs. Here is what your counterparts ask first.

Role

Marketing Operations & Technology

They will ask who approves a change, and how access is controlled.

Role

Media & Content

They will ask what this adds to a launch day.

Works with what you already run

Native connectors across the ad platforms you buy on, the analytics and storage you report from, and the content systems your assets live in. If something you run isn't here, the API and flat-file exchange cover it.

Standards at work

Wyndham Hotels & Resorts Unlocks Real-Time Insights

More than ten marketing teams collaborate on data accuracy — and access campaign reporting and analysis within 30 seconds.

100%Data accuracy before a campaign launch
10+Marketing teams using the platform

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30 sec

To accurate campaign reporting

“We can look at it high level and then get down to the nitty gritty of how the email channel did versus the paid search channel, what revenue was driven from each one. Then going even further down to the specific placement within an email or a specific placement on Google or wherever else we're having those placements run.”
Erin Boyle, Former Director of Product Analytics & Optimization