Privacy-minded organizations work with Decentriq
A data clean room (DCR) is a secure environment that offers brands, publishers, and data partners a privacy-compliant way to jointly analyze their first-party data to uncover new audience insights, making richer targeting and measurement possible without third-party cookies — all while exerting strict controls over what happens on their data.
For more information, check out our article What is a data clean room?
The media landscape is rapidly changing. From the phasing out of third-party cookies to increasing consumer privacy regulation, it’s becoming increasingly difficult with traditional display advertising to reach the right audience with the right message. This leads to significant ad budget waste, where an estimated 50% is spent on the wrong audiences.
Brands now have the opportunity to recognize the high value of their most valuable asset – their first-party data – and embrace a data-driven strategy for better accuracy and reach, driven by a privacy-first mindset.
Decentriq enables organizations to take their valuable first-party data to the next level for high-impact advertising initiatives to improve their media efficiency and increase sales. Our solution offers a wide variety of use cases across audience overlap, lookalike audience activation, measurement and attribution, audience profile enrichment, and more.
Additionally, our platform supports advanced analytics and machine learning capabilities, allowing you to build custom models and segments based on your specific needs. We support analytics in SQL, Python, and R, allowing maximum flexibility to design and implement various types of analyses and models.
There are various categorizations in the data clean room space.
There are walled gardens provided by big-tech players such as Google’s Ads Data Hub and Amazon’s Marketing Cloud that provide brands with the ability to combine their first-party data with consumer data that lives within the walls of the partner’s environment. Then there are platform DCRs, provided by the likes of Snowflake, and ID Graph DCRs, primarily concentrated on identity resolution, who have extended towards offering clean room capabilities. However, with all these categories, users lack security and control over their data — meaning you as a brand must trust the vendor’s platform and what they do with your and your collaboration partner’s data.
This is where zero-trust DCRs enter the game. These leverage underlying privacy technology to enforce data privacy and security. Zero-trust DCRs like Decentriq ensure data remains fully protected and confidential, allowing secure multi-party analysis without data exposure — ideal for brands seeking to collaborate on sensitive data with external partners while maintaining strict privacy and compliance standards.
Decentriq leverages a privacy-enhancing technology called confidential computing, which ensures that data remains encrypted even when in use and only permits pre-approved analytics to run. Neither Decentriq nor the cloud provider can access the customer's data, providing a zero-trust framework where brands, publishers, and data partners don't even need to trust Decentriq.