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Ad Networks and Consumer Tracking

Author

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  • Anna D’Annunzio

    (Toulouse Business School, 31068 Toulouse, Cedex 7, France;)

  • Antonio Russo

    (Loughborough University, School of Business and Economics, LE11 3TU Loughborough, United Kingdom; ETH Zurich, 8092 Zurich, Switzerland)

Abstract

We study the role of ad networks in the online advertising market. Our baseline model considers two publishers that can outsource the sale of their ad inventories to an ad network, in a market where consumers and advertisers multi-home. The ad network increases total advertising revenue by tracking consumers across outlets and reduces competition between publishers by centralizing the sale of ads. Consequently, outsourcing to the ad network benefits the publishers, but may penalize the advertisers. We show that the ad network’s ability to track consumers may either expand or reduce the provision of ads, depending on consumers’ preferences for the publishers and how advertisers use tracking information. Specifically, tracking is more likely to expand (respectively, reduce) the provision of ads when consumers’ preferences for the publishers are positively (respectively, negatively) correlated. Tracking is also more likely to expand (respectively, reduce) the provision of ads when advertisers use tracking information to cap the frequency of impressions (respectively, target specific consumers). Furthermore, we study the implications of consumers’ choice to block tracking. Generally, blocking negatively impacts the advertising industry by making ad allocation less effective. Blocking also entails an externality on consumers, which is negative when tracking reduces the provision of ads. Given these conditions, regulatory restrictions on tracking may reduce consumer surplus as well as advertising revenue. These findings contrast with the presumption that regulation should make it easier for consumers to avoid tracking. We propose further extensions, including competing ad networks, more than two publishers, and networks that do not sell ads, but only tracking information to the advertisers.

Suggested Citation

  • Anna D’Annunzio & Antonio Russo, 2020. "Ad Networks and Consumer Tracking," Management Science, INFORMS, vol. 66(11), pages 5040-5058, November.
  • Handle: RePEc:inm:ormnsc:v:66:y:2020:i:11:p:5040-5058
    DOI: 10.1287/mnsc.2019.3481
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    Cited by:

    1. Batikas, Michail & Claussen, Jörg & Peukert, Christian, 2019. "Follow the money: Online piracy and self-regulation in the advertising industry," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 121-151.
    2. Evensen, Charlotte Bjørnhaug & Haugen, Atle, 2021. "The impact of targeting technologies and consumer multi-homing on digital platform competition," Discussion Paper Series in Economics 13/2021, Norwegian School of Economics, Department of Economics.
    3. Luca Sandrini, 2023. "Price vs Market Share with Royalty Licensing: Incomplete Adoption of a Superior Technology with Heterogeneous Firms," Discussion Papers 2302, Budapest University of Technology and Economics, Quantitative Social and Management Sciences.
    4. Gang Liu & Fengyue An, 2021. "Video Platforms’ Value-Added Service Investments and Pricing Strategies for Advertisers," Sustainability, MDPI, vol. 13(24), pages 1-24, December.
    5. Luca Sandrini, 2024. "Price Versus Market Share with Royalty Licensing: Incomplete Adoption of a Superior Technology with Heterogeneous Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 64(2), pages 243-265, March.
    6. Jeon, Doh-Shin & Yan, Jun, 2020. "Data, Targeted Advertising and Quality of Journalism: The Case of Accelerated Mobile Page (AMP)," TSE Working Papers 20-1171, Toulouse School of Economics (TSE), revised Apr 2022.
    7. Hildebrandt, Christian & Arnold, René, 2018. "Marktbeobachtung in der digitalen Wirtschaft – Ein Modell zur Analyse von Online-Plattformen," WIK Discussion Papers 427, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.

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    More about this item

    Keywords

    advertising; ad network; Internet; tracking; multi-homing; privacy;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

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