IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2403.03610.html
   My bibliography  Save this paper

Paying for Privacy: Pay-or-Tracking Walls

Author

Listed:
  • Timo Mueller-Tribbensee
  • Klaus M. Miller
  • Bernd Skiera

Abstract

Prestigious news publishers, and more recently, Meta, have begun to request that users pay for privacy. Specifically, users receive a notification banner, referred to as a pay-or-tracking wall, that requires them to (i) pay money to avoid being tracked or (ii) consent to being tracked. These walls have invited concerns that privacy might become a luxury. However, little is known about pay-or-tracking walls, which prevents a meaningful discussion about their appropriateness. This paper conducts several empirical studies and finds that top EU publishers use pay-or-tracking walls. Their implementations involve various approaches, including bundling the pay option with advertising-free access or additional content. The price for not being tracked exceeds the advertising revenue that publishers generate from a user who consents to being tracked. Notably, publishers' traffic does not decline when implementing a pay-or-tracking wall and most users consent to being tracked; only a few users pay. In short, pay-or-tracking walls seem to provide the means for expanding the practice of tracking. Publishers profit from pay-or-tracking walls and may observe a revenue increase of 16.4% due to tracking more users than under a cookie consent banner.

Suggested Citation

  • Timo Mueller-Tribbensee & Klaus M. Miller & Bernd Skiera, 2024. "Paying for Privacy: Pay-or-Tracking Walls," Papers 2403.03610, arXiv.org.
  • Handle: RePEc:arx:papers:2403.03610
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2403.03610
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sadeghi, Ali & Kibler, Ewald, 2022. "Do bankruptcy laws matter for entrepreneurship? A Synthetic Control Method analysis of a bankruptcy reform in Finland," Journal of Business Venturing Insights, Elsevier, vol. 18(C).
    2. Gonzalez, Felipe & Prem, Mounu, 2020. "Police Repression and Protest Behavior: Evidence from Student Protests in Chile," SocArXiv 3xk5r, Center for Open Science.
    3. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    4. Di, Wenhua & Pattison, Nathaniel, 2023. "Industry Specialization and Small Business Lending," Journal of Banking & Finance, Elsevier, vol. 149(C).
    5. Pekka Malo & Juha Eskelinen & Xun Zhou & Timo Kuosmanen, 2024. "Computing Synthetic Controls Using Bilevel Optimization," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1113-1136, August.
    6. Robert Messerle & Jonas Schreyögg, 2024. "Country-level effects of diagnosis-related groups: evidence from Germany’s comprehensive reform of hospital payments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(6), pages 1013-1030, August.
    7. Liu, Ruiming & Yan, Haosheng & Zhang, Zebang, 2024. "Does historic preservation affect firms' output? Evidence from the awarding of the Historic City title in China," China Economic Review, Elsevier, vol. 85(C).
    8. Joan Monràs & José Garcia Montalvo, 2021. "The effect of second generation rent controls: New evidence from Catalonia," Economics Working Papers 1836, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2022.
    9. Abman, Ryan & Longbrake, Gabrial, 2023. "Resource development and governance declines: The case of the Chad–Cameroon petroleum pipeline," Energy Economics, Elsevier, vol. 117(C).
    10. Cummins Joseph & Miller Douglas L. & Smith Brock & Simon David, 2024. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 67-95, January.
    11. Sun, Xing & Lin, Minzhen & Zhong, Huaming, 2024. "The motivation and impact of polluting Enterprises' diversifications: Quasi-natural experiments from environmental protection interview," Energy Economics, Elsevier, vol. 129(C).
    12. Cannon Cloud & Simon He{ss} & Johannes Kasinger, 2022. "Do shared e-scooter services cause traffic accidents? Evidence from six European countries," Papers 2209.06870, arXiv.org, revised Sep 2022.
    13. Ron Berman & Ayelet Israeli, 2022. "The Value of Descriptive Analytics: Evidence from Online Retailers," Marketing Science, INFORMS, vol. 41(6), pages 1074-1096, November.
    14. Guangdong Li & Chuanglin Fang & James E. M. Watson & Siao Sun & Wei Qi & Zhenbo Wang & Jianguo Liu, 2024. "Mixed effectiveness of global protected areas in resisting habitat loss," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    15. Jason Poulos & Andrea Albanese & Andrea Mercatanti & Fan Li, 2021. "Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment," Papers 2106.00788, arXiv.org.
    16. Huang, Hongyun & Mbanyele, William & Wang, Fengrong & Song, Malin & Wang, Yuzhang, 2022. "Climbing the quality ladder of green innovation: Does green finance matter?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. Qian Chen & Christoffer Koch & Padma Sharma & Gary Richardson, 2020. "Payments Crises and Consequences," NBER Working Papers 27733, National Bureau of Economic Research, Inc.
    18. Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023. "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper 452, CPB Netherlands Bureau for Economic Policy Analysis.
    19. Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.
    20. Do, Quoc-Anh & Galbiati, Roberto & Marx, Benjamin & Ortiz Serrano, Miguel A., 2024. "J'Accuse! Antisemitism and financial markets in the time of the Dreyfus Affair," Journal of Financial Economics, Elsevier, vol. 154(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2403.03610. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.