
Most customer data platforms were built to solve a marketing problem and had privacy controls fitted afterwards. Zeotap was built the other way round: European in origin, designed around consent, identity and data residency from the start. That makes it a specific answer to a specific question, and it is the right platform when the regulatory constraint is the thing driving your decision.
The interesting work in a Zeotap implementation happens before anything is configured. Which processing rests on which lawful basis, what happens to data already collected when someone withdraws consent, how a consent state travels from your CMP through the platform and out to every downstream destination. These are architecture questions, and the answers get encoded in the build.
We have seen the failure mode often enough to design against it: consent captured immaculately at the front door, then a downstream activation that never checks it. Auditing that path end to end is part of how we implement, not an afterthought.
We are an implementation partner. The governance and identity work underneath is not platform-specific, and it is what we have been doing across CDI and CDP engagements for years. If you are weighing Zeotap against other platforms rather than implementing it, start with RFP support instead.
We are an implementation partner. We would rather say that plainly than imply a case study we cannot show you. The consent, identity and governance work that a Zeotap implementation turns on is the same work we do across every CDI and CDP engagement, including a multi-year Treasure AI engagement for Condé Nast.
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