Meta
Announcements
·
October 4, 2022

Our progress on developing and incorporating privacy-enhancing technologies

By Dennis Buchheim, Vice President, Science & Ecosystem


Last year, we shared our longer-term vision on privacy-enhancing technologies and how we believe they will become foundational to the future of personalized advertising experiences. Today, we want to share an update on the progress Meta and the industry have made towards these efforts and how advertisers can get involved.

Industry momentum on privacy-enhancing technologies

Industry collaboration on privacy-enhancing technologies is essential for the development of interoperable solutions and a shared set of standards to support a free and open internet. This year, we saw collaboration turn into tangible progress.

First, our proposal with Mozilla on a new privacy-preserving standard for ad measurement, Interoperable Private Attribution (IPA), continues to advance within the World Wide Web Consortium’s Private Advertising Technology Community Group (W3C PATCG). The goal of this proposal is to create a new standard for measurement that is consistent and viable across all web browsers, so instead of each browser using a different type of ads measurement, we would have one standard across all browsers that gives advertisers the ability to do consistent and comparable measurement.

As part of this proposal, we’ve engaged Stanford’s Applied Cryptography Group to optimize the code design with added security for user privacy and published a more detailed protocol of the end-to-end solution to provide a closer look at what the end product will look like. We also developed a research prototype which provides us with benchmarks to estimate the cost of running the solution, so we can show businesses that this new privacy-first solution doesn’t mean extra costs. Proving the solution is feasible with real code is an important step in a long journey to set new standards. We are encouraged by the W3C PATCG’s progress towards a unified standard for attribution measurement.

Separately, we’ve helped form and have joined working groups at the IAB Tech Lab and World Federation of Advertisers (WFA), and we’ve engaged with academics from more than 100 universities to help the industry understand the challenges we all need to address.

For example, we collaborated with academics from Northwestern University and the University of Chicago to better understand the value of offsite data for ads personalization, in part to help guide the development of solutions that leverage privacy-enhancing technologies. The research reveals that advertisers’ costs increased by 37%1 when removing offsite data from the ad delivery system with outsized impact on smaller advertisers in CPG, retail and ecommerce, who are often more reliant on digital performance advertising than larger, more established companies.

“We suspected that offsite data was critical to long-term advertising performance, but the academic literature surprisingly hadn’t quantified to what extent,” said Anna Tuchman, Associate Professor and Researcher at Northwestern University’s Kellogg School of Management. “By quantifying the impact to businesses, we hope to broaden the industry’s understanding of the privacy and utility trade-offs of using offsite data for advertising.”

We encourage advertisers to actively participate in these industry conversations—including through IAB Tech Lab’s PET Working Group, Association of National Advertisers (ANA) and WFA—and to share feedback with platforms, ensuring that businesses have a role in influencing these future technologies and standards. We also set up a Small Business Ads Ecosystem Hub and provided best practices to help advertisers maximize ad performance while still respecting people’s privacy.

Incorporating PETs into Meta’s portfolio of advertising solutions

Over the past year, we’ve also made progress developing our own portfolio of PET-based solutions, particularly our Private Lift Measurement product, which uses secure multi-party computation (MPC) to help advertisers understand how their campaigns are performing while limiting what the advertiser and Meta can learn about a person.

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For more than a year, we’ve been testing this solution with advertisers from around the world, gathering feedback and improving the product’s performance, and some of our largest clients are now using Private Lift.

For example, a global financial services advertiser, who was not previously using Lift measurement products, tried our Private Lift product to gain a more comprehensive view into the incremental conversions their ads were driving, while keeping their underlying data private. Specifically, the advertiser set up a test in which part of their target audience received an ad and the other part of the audience did not, and then compared conversions to understand what conversions were incremental. Their study found that the test group drove 55% more conversions than the control group, which was valuable insight into how many conversions would not have occurred without advertising on Meta.

Along with Private Lift, we also began testing a new Private Computation solution, known as Private Attribution, which keeps the advertiser’s underlying data private by using de-identified and aggregated data to support attribution measurement. This is another solution that uses MPC, and we intend for our Private Computation Framework (PCF)—the code for MPC—to eventually support a spectrum of products, including those designed for ads delivery enhancements and optimization.

Additionally, we’ve improved the back-end protocol for MPC—which makes it easier for other businesses to build MPC into their privacy solutions—driving better performance using less network traffic. All of these things greatly reduce the cost of implementation, which is why we open-sourced our PCF code, so that other businesses can adopt this state-of-the-art protocol and algorithms to more efficiently use MPC.

If you’d like to participate in our testing programs for Private Lift or Private Attribution, reach out to your Meta sales representative and they will be able to share more details on the opportunities and criteria required to start using the products. And if you are interested in using the open sourced framework code, you can contribute to the GitHub publication.

There is a long journey ahead for the entire ads industry, and if you have any questions about these products or the development of privacy-enhancing technologies, please visit our Privacy Tech Hub, follow along on our blog or reach out to your client representative.


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