The media industry is brimming with user data. Collaborative analytics on transaction records can help businesses create customized shopping experiences. That maximizes the conversion rate and allows to build data-driven strategies.

But there’s a challenge for advertisers and publishers who want to establish a data collaboration partnership and use their first-party data for analytics. Their respective datasets have to remain fully encrypted at all times due to privacy regulations safeguarding the confidentiality of customers.

To solve this we use confidential computing technology. It allows the identification of a custom audience without sharing personal data with the other parties.

This demo shows how Data Clean Rooms are used to activate a set of users from a publisher, compute the overlap, and identify the lookalike audience using datasets from two partnering brands.

The contents of the initial datasets are never revealed to the partnering parties, and never visible to Decentriq itself.