Mozilla and Meta are working on privacy-preserving attribution

The solution would allow advertisers access to aggregate data on campaign performance without links to individual user behavior.

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Mozilla, developers of the open-source Firefox web browser and Meta, formerly known as Facebook, have revealed that they are working together on an Interoperable Privacy Attribution solution (IPA). The aim is to allow advertisers insight into campaign performance without breaching individual user privacy. They have jointly proposed to be the in-development solution to the Private Advertising Technology Community Group, part of the World Wide Web Consortium.

In broad terms, the solution seems simple. It would use multi-party computation to allow analysis of user behavior without allowing websites, browsers or advertisers to learn about the behaviour of individual users (a version of what is often called a “clean room”). Data would be aggregated to avoid traceability to single users.

“IPA is designed to provide a lot of flexibility for advertising businesses in terms of how they use the system. Cross-device and cross-browser attribution options in IPA enable new and more robust attribution capabilities, while maintaining privacy,” said a Mozilla blog, which also contains links to detailed technical specifications.

Dig deeper: More about multi-party computation and “clean rooms”

Why we care, It remains a work-in-progress and even a quick dive into the specifications shows that questions remain unanswered. For one thing, the solution requires the addition of random “noise” to the aggregate statistics, something unlikely to please advertisers. Of course, the aggregate data theme was part of Google’s FLoC and is now part of Google’s Topics API too. But it is at least refreshing to read a proposal for measuring campaign performance and attribution however the ads are delivered rather than another proposal to deliver ads through some new means of tracking users.

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About the author

Kim Davis
Staff
Kim Davis is currently editor at large at MarTech. Born in London, but a New Yorker for almost three decades, Kim started covering enterprise software ten years ago. His experience encompasses SaaS for the enterprise, digital- ad data-driven urban planning, and applications of SaaS, digital technology, and data in the marketing space. He first wrote about marketing technology as editor of Haymarket’s The Hub, a dedicated marketing tech website, which subsequently became a channel on the established direct marketing brand DMN. Kim joined DMN proper in 2016, as a senior editor, becoming Executive Editor, then Editor-in-Chief a position he held until January 2020. Shortly thereafter he joined Third Door Media as Editorial Director at MarTech.

Kim was Associate Editor at a New York Times hyper-local news site, The Local: East Village, and has previously worked as an editor of an academic publication, and as a music journalist. He has written hundreds of New York restaurant reviews for a personal blog, and has been an occasional guest contributor to Eater.

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