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Cookiepocalypse: What are the most effective strategies for advertisers to reshape the future of display advertising?

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  • El Hana, Nadr
  • Mercanti-Guérin, Maria
  • Sabri, Ouidade

Abstract

A third-party cookie is a tracking code set by a third-party platform or a technology provider on the website the user is visiting. This small amount of text identifies users online, reveals their interests, and provides powerful information useful in enhancing online display advertising. With the passing of new legislation protecting the user's privacy, the phasing out of third-party cookies has started. By the end of 2024, all major browsers will block all third-party cookies and identifiers for advertiser (IDFA) tracking. Therefore, advertisers and marketers are becoming more restricted in their ability to create user profiles, personalize ads, and analyze performances. Advertisers need to start pivoting now to prepare for what is next. In that context, the purpose of this study is to investigate different alternatives and forecast technological progress to help advertisers implement the most appropriate strategies and technologies to effectively overcome the disappearance of third-party cookies. By conducting two qualitative studies, semistructured interviews with 15 experts and a focus group, we established a framework that categorizes the alternative strategies into six categories as well as the technological progress made by different actors in the value chain. The study has strong implications for advertisers and policy-makers.

Suggested Citation

  • El Hana, Nadr & Mercanti-Guérin, Maria & Sabri, Ouidade, 2023. "Cookiepocalypse: What are the most effective strategies for advertisers to reshape the future of display advertising?," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:tefoso:v:188:y:2023:i:c:s0040162522008186
    DOI: 10.1016/j.techfore.2022.122297
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    References listed on IDEAS

    as
    1. Jean-Samuel Beuscart & Kevin Mellet, 2013. "Competing Quality Conventions in the French Online Advertising Market," Post-Print hal-00946749, HAL.
    2. Bleier, Alexander & Eisenbeiss, Maik, 2015. "The Importance of Trust for Personalized Online Advertising," Journal of Retailing, Elsevier, vol. 91(3), pages 390-409.
    3. repec:hal:spmain:info:hdl:2441/20mo2m90qf95s9lpanf6s6uho5 is not listed on IDEAS
    4. Damien Geradin & Dimitrios Katsifis & Theano Karanikioti, 2021. "Google as a de facto privacy regulator: analysing the Privacy Sandbox from an antitrust perspective," European Competition Journal, Taylor & Francis Journals, vol. 17(3), pages 617-681, September.
    5. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
    6. Avi Goldfarb & Catherine Tucker, 2011. "Rejoinder--Implications of "Online Display Advertising: Targeting and Obtrusiveness"," Marketing Science, INFORMS, vol. 30(3), pages 413-415, 05-06.
    7. Jean-Samuel Beuscart & Kevin Mellet, 2013. "Competing Quality Conventions in the French Online Display Advertising Market," Journal of Cultural Economy, Taylor & Francis Journals, vol. 6(4), pages 402-418, November.
    8. Declan Butler, 2007. "Data sharing threatens privacy," Nature, Nature, vol. 449(7163), pages 644-644, October.
    9. Jiang, Ruth & Kleer, Robin & Piller, Frank T., 2017. "Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 84-97.
    10. Thomas, Ian, 2021. "Planning for a cookie-less future: How browser and mobile privacy changes will impact marketing, targeting and analytics," Applied Marketing Analytics: The Peer-Reviewed Journal, Henry Stewart Publications, vol. 7(1), pages 6-16, June.
    11. Oliver Rutz & Randolph Bucklin, 2012. "Does banner advertising affect browsing for brands? clickstream choice model says yes, for some," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 231-257, June.
    12. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    13. Thompson, Craig J & Locander, William B & Pollio, Howard R, 1989. "Putting Consumer Experience Back into Consumer Research: The Philosophy and Method of Existential-Phenomenology," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(2), pages 133-146, September.
    14. Hana Choi & Carl F. Mela & Santiago R. Balseiro & Adam Leary, 2020. "Online Display Advertising Markets: A Literature Review and Future Directions," Information Systems Research, INFORMS, vol. 31(2), pages 556-575, June.
    15. Kamena, Roger, 2021. "Moving towards inferential attribution modelling in a world without third-party cookies," Applied Marketing Analytics: The Peer-Reviewed Journal, Henry Stewart Publications, vol. 7(2), pages 122-130, September.
    16. Kaifu Zhang & Zsolt Katona, 2012. "Contextual Advertising," Marketing Science, INFORMS, vol. 31(6), pages 980-994, November.
    17. Michael Trusov & Liye Ma & Zainab Jamal, 2016. "Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting," Marketing Science, INFORMS, vol. 35(3), pages 405-426, May.
    18. Wiese, Melanie & Martínez-Climent, Carla & Botella-Carrubi, Dolores, 2020. "A framework for Facebook advertising effectiveness: A behavioral perspective," Journal of Business Research, Elsevier, vol. 109(C), pages 76-87.
    19. Melissa Clark & Monica B. Fine & Cara-Lynn Scheuer, 2017. "Relationship quality in higher education marketing: the role of social media engagement," Journal of Marketing for Higher Education, Taylor & Francis Journals, vol. 27(1), pages 40-58, January.
    20. DeNardis, L. & Hackl, A.M., 2015. "Internet governance by social media platforms," Telecommunications Policy, Elsevier, vol. 39(9), pages 761-770.
    21. Long, Lucas, 2022. "Effective first-party data collection in a privacy-first world," Applied Marketing Analytics: The Peer-Reviewed Journal, Henry Stewart Publications, vol. 7(3), pages 202-210, February.
    22. Tucker, Catherine E., 2012. "The economics of advertising and privacy," International Journal of Industrial Organization, Elsevier, vol. 30(3), pages 326-329.
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