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Privacy-Enhanced versus Traditional Retargeting: Ad Effectiveness in an Industry-Wide Field Experiment

Author

Listed:
  • Shunto J. Kobayashi

    (Questrom School of Business, Boston University, Boston, Massachusetts 02215)

  • Garrett A. Johnson

    (Questrom School of Business, Boston University, Boston, Massachusetts 02215)

  • Zhengrong Gu

    (Questrom School of Business, Boston University, Boston, Massachusetts 02215)

Abstract

An advertiser can use retargeting to target its site visitors with ads offsite, often to push users to complete a purchase. Retargeting is controversial because it raises both user privacy concerns and questions about its effectiveness for advertisers. In this study, we partner with an advertiser intermediary to measure retargeting effectiveness across more than 2,000 advertisers, leveraging an industry-wide experiment to evaluate both traditional and privacy-enhanced retargeting approaches. Google's Privacy Sandbox allows advertisers to retarget users without tracking cross-site browsing by moving ad selling onto the user's device. We provide broad-based evidence that retargeting lifts advertisers' baseline conversions by 4.6%. While removing third-party cookies significantly reduces ad clicks and click-through conversions, implementing Privacy Sandbox recovers 46.3% of lost ad clicks, and 43.5% of lost click-through conversions. Importantly, when adjusting for ad expenditure, the performance gap between privacy-enhanced and traditional retargeting narrows: Sandbox's click per dollar and click-through conversion per dollar achieve 86.4% and 81.8% of traditional counterparts, respectively. We provide additional evidence exploring time heterogeneity and advertiser heterogeneity in treatment effects, suggesting that the limited overall performance of Privacy Sandbox may be due to the lack of supply-side adoption of Privacy Sandbox.

Suggested Citation

  • Shunto J. Kobayashi & Garrett A. Johnson & Zhengrong Gu, 2024. "Privacy-Enhanced versus Traditional Retargeting: Ad Effectiveness in an Industry-Wide Field Experiment," Working Papers 24-06, NET Institute.
  • Handle: RePEc:net:wpaper:2406
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    File URL: http://www.netinst.org/Kobayashi_24-06.pdf
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    More about this item

    Keywords

    privacy; online advertising; privacy-enhancing technologies; ad effectiveness;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • K24 - Law and Economics - - Regulation and Business Law - - - Cyber Law
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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