Connect with your best customers, without sharing their data
Fight signal loss with your own first-party data. Find and activate the right customers for you by joining forces with publishers and partners — while sensitive data stays confidential.
How privacy-preserving lookalikes work
The clean room matches brand data against publisher data to create a seed audience. The seed audience is used to train an AI model to find other users with similar traits across all of the publisher’s inventory. Raw data stays encrypted and completely inaccessible during the entire process.
The partnership with Decentriq is an important milestone for us and our customers in a future without third-party cookies in digital marketing. Next to classic media use cases like planning, activation and measurement, we can bring different customers together to collaborate on brand new applications of first-party data — while they retain absolute control over their own datasets.
Decentriq enables a whole new perspective on how we can innovate with data that wasn't possible before.
3rd party cookies have underpinned internet advertising for decades. With its deprecation, publishers and brands have to rethink entirely new ways to reach audiences in a privacy-first world. With Decentriq and confidential computing, Goldbach enables a trust layer, allowing brands to onboard their 1st party data without compliance risks.
We’ve been hugely impressed by Decentriq’s commitment to user privacy whilst continuing to enable brands and advertisers to collaborate with their data. We’re excited to be working with Decentriq in embracing the very toughest privacy standards.
Confidential computing and data clean rooms present us with a great chance to exchange information in a legal, efficient and effective way. This allows us to do better media planning and advertising, targeting more accurately – and in the end driving more revenue whilst complying with all data protection regulations
Especially in the European Union, data protection laws require a high level of privacy technology, which is the primary use case for data clean rooms,” says Barcinski. “By combining protected data with partner data in Decentriq data clean rooms, we can deliver more effective advertising while helping ensure the safety of the information.
Easy integration into your data pipelines
Our growing network of data connectors supports more streamlined workflows across leading data platforms.
Make the next conversation with your DPO the easiest one yet
Built on Confidential Computing, an advanced privacy technology, Decentriq is designed to keep your data completely inaccessible — even to us. This “zero-trust” architecture enforces data confidentiality and compliance on the hardware level.
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.