Effective, targeted reach with AI lookalikes
Extend your reach across publisher audiences and discover your best potential customers with our advanced AI lookalike models — and your first-party data.
Invite publishers to join
Invite publishers you work with directly to the clean room, or select from our network of publisher partners.
Connect your first-party data
Import your data using our connectors, or directly from your files. Your data stays encrypted at all times thanks to confidential computing.
Uncover insights about your customers
Explore customer affinities and demographics from the audience overlap between you and the publisher.
Generate your tailored AI lookalike
Our AI lookalike model extends your seed audience with similar users. Refine precision and reach based on your campaign goals.
Activate lookalikes on premium publishers
Easy activation through deal ID or insertion order, without disrupting your existing media buying process.
Privacy-minded organizations work with Decentriq
Extend your first-party strategy with custom analytics
Solve new and unique use cases in clean rooms built for flexibility. Measure and attribute campaigns, enrich customer data, and run even advanced AI and ML models.
Invite partners and control access to results
Add collaborators and control who can see results from the clean room. You can add an agency as an observer without them having access to any raw data.
Link data without revealing it
The clean room encrypts data at the source and keeps data encrypted throughout, even while calculations are running. No one can see the raw datasets — guaranteed.
Review and run custom code
Your partner or agency can submit computations in Python, R and SQL. You can then review the code and verify that it’s running analyses that you agreed on.
View the results of your analysis
Once the calculations are run, approved parties can view and export the results of the analysis. Only aggregated insights are revealed — raw data stays completely confidential.
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.
