Can privacy technologies replace cookies? Ad revenue in a field experiment

Z Zhengrong Gu (Questrom School of Business) G Garrett A. Johnson (Questrom School of Business) S Shunto J. Kobayashi (Questrom School of Business)

Abstract

Digital advertising finances much of the open web, yet relies on tracking technologies that regulators increasingly seek to restrict. In response, industry has developed privacy-enhancing technologies intended to preserve advertising performance while limiting data collection, but their economic effects remain largely untested. We study this question using an open, industry-wide field experiment jointly overseen by Google and the UK Competition and Markets Authority, in which Chrome users were randomly assigned to browse with third-party cookies enabled, with cookies disabled, or with Google’s Privacy Sandbox replacing cookies. Combining this experimental variation with proprietary data from a major ad management firm, we analyze more than 200 million ad impressions across over 5,000 publishers worldwide. Removing third-party cookies reduces publisher advertising revenue by 29.1%. Privacy Sandbox recovers only 4.2% of this lost revenue; this estimate reflects observed adoption and performance during the study period and may reflect modest industry adoption. Privacy-preserving auctions also increase ad latency, reducing impression delivery and further limiting revenue performance. Together, these findings provide a large-scale experimental benchmark for evaluating privacy-preserving reforms and demonstrate the difficulty of reconciling privacy protection with the economics of online content provision.

Article Details

Volume / Issue Vol. 123, Issue 19
Published May 12, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (3)

Z

Zhengrong Gu

Questrom School of Business

G

Garrett A. Johnson

Questrom School of Business

S

Shunto J. Kobayashi

Questrom School of Business