IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v41y2022i1p7-18.html
   My bibliography  Save this article

Frontiers: The Impact of Ad-Blockers on Online Consumer Behavior

Author

Listed:
  • Vilma Todri

    (Goizueta Business School, Emory University, Atlanta, Georgia 30322)

Abstract

Digital advertising is on track to become the dominant form of advertising, but ad-blocking technologies have recently emerged, posing a potential threat to the online advertising ecosystem. A significant and increasing fraction of internet users has indeed already started employing ad-blockers. However, surprisingly little is known yet about the effects of ad-blockers on consumers. This paper investigates the impact of ad-blockers on online search and purchasing behaviors by empirically analyzing a consumer-level panel data set. Interestingly, the analyses reveal that ad-blockers have a significant effect on online purchasing behavior: online consumer spending decreases due to ad-blockers by approximately $14.2 billion per year in total. In examining the underlying mechanism of the ad-blocker effects, I find that ad-blockers significantly decrease spending for brands that consumers have not experienced before, partially shifting spending toward brands that they have experienced in the past. I also find that ad-blockers spur additional unintended consequences, as they reduce consumers’ search activities across information channels. The findings remain robust to different identifying assumptions and robustness checks. The analyses draw timely managerial and policy implications for the digital advertising industry, as well as additional insights into the role of online advertising.

Suggested Citation

  • Vilma Todri, 2022. "Frontiers: The Impact of Ad-Blockers on Online Consumer Behavior," Marketing Science, INFORMS, vol. 41(1), pages 7-18, January.
  • Handle: RePEc:inm:ormksc:v:41:y:2022:i:1:p:7-18
    DOI: 10.1287/mksc.2021.1309
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.2021.1309
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2021.1309?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dina Mayzlin & Jiwoong Shin, 2011. "Uninformative Advertising as an Invitation to Search," Marketing Science, INFORMS, vol. 30(4), pages 666-685, July.
    2. Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2019. "Pre-event Trends in the Panel Event-Study Design," American Economic Review, American Economic Association, vol. 109(9), pages 3307-3338, September.
    3. Lesley Chiou & Catherine Tucker, 2012. "How Does the Use of Trademarks by Third-Party Sellers Affect Online Search?," Marketing Science, INFORMS, vol. 31(5), pages 819-837, September.
    4. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    5. Mitchell Lovett & Renana Peres & Ron Shachar, 2014. "A Data Set of Brands and Their Characteristics," Marketing Science, INFORMS, vol. 33(4), pages 609-617, July.
    6. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
    7. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    8. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    9. Benjamin Shiller & Joel Waldfogel & Johnny Ryan, 2018. "The effect of ad blocking on website traffic and quality," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 43-63, March.
    10. Nelson, Philip, 1974. "Advertising as Information," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 729-754, July/Aug..
    11. Thomas Blake & Chris Nosko & Steven Tadelis, 2015. "Consumer Heterogeneity and Paid Search Effectiveness: A Large‐Scale Field Experiment," Econometrica, Econometric Society, vol. 83, pages 155-174, January.
    12. Panagiotis Adamopoulos & Anindya Ghose & Vilma Todri, 2018. "The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms," Information Systems Research, INFORMS, vol. 29(3), pages 612-640, September.
    13. Kenneth C. Wilbur, 2008. "A Two-Sided, Empirical Model of Television Advertising and Viewing Markets," Marketing Science, INFORMS, vol. 27(3), pages 356-378, 05-06.
    14. Vilma Todri & Anindya Ghose & Param Vir Singh, 2020. "Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel," Information Systems Research, INFORMS, vol. 31(1), pages 102-125, March.
    15. Friestad, Marian & Wright, Peter, 1994. "The Persuasion Knowledge Model: How People Cope with Persuasion Attempts," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 1-31, June.
    16. Bart J. Bronnenberg & Jean-Pierre Dubé & Robert E. Sanders, 2020. "Consumer Misinformation and the Brand Premium: A Private Label Blind Taste Test," Marketing Science, INFORMS, vol. 39(2), pages 382-406, March.
    17. 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.
    18. Jura Liaukonyte & Thales Teixeira & Kenneth C. Wilbur, 2015. "Television Advertising and Online Shopping," Marketing Science, INFORMS, vol. 34(3), pages 311-330, May.
    19. Simon P. Anderson & Joshua S. Gans, 2011. "Platform Siphoning: Ad-Avoidance and Media Content," American Economic Journal: Microeconomics, American Economic Association, vol. 3(4), pages 1-34, November.
    20. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    21. Anja Lambrecht & Kanishka Misra, 2017. "Fee or Free: When Should Firms Charge for Online Content?," Management Science, INFORMS, vol. 63(4), pages 1150-1165, April.
    22. Nathan M. Fong, 2017. "How Targeting Affects Customer Search: A Field Experiment," Management Science, INFORMS, vol. 63(7), pages 2353-2364, July.
    23. Ackerberg, Daniel A, 2001. "Empirically Distinguishing Informative and Prestige Effects of Advertising," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 316-333, Summer.
    24. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, October.
    25. David H. Autor, 2003. "Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 1-42, January.
    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. Shunyao Yan & Klaus M. Miller & Bernd Skiera, 2020. "How Does the Adoption of Ad Blockers Affect News Consumption?," Papers 2005.06840, arXiv.org, revised Aug 2021.
    2. Weijia Dai & Hyunjin Kim & Michael Luca, 2023. "Frontiers: Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Marketing Science, INFORMS, vol. 42(3), pages 429-439, May.
    3. Brett R. Gordon & Florian Zettelmeyer & Neha Bhargava & Dan Chapsky, 2019. "A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook," Marketing Science, INFORMS, vol. 38(2), pages 193-225, March.
    4. Seshadri Tirunillai & Gerard J. Tellis, 2017. "Does Offline TV Advertising Affect Online Chatter? Quasi-Experimental Analysis Using Synthetic Control," Marketing Science, INFORMS, vol. 36(6), pages 862-878, November.
    5. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    6. Khim-Yong Goh & Kai-Lung Hui & Ivan P. L. Png, 2015. "Privacy and Marketing Externalities: Evidence from Do Not Call," Management Science, INFORMS, vol. 61(12), pages 2982-3000, December.
    7. Weijia Dai & Hyunjin Kim & Michael Luca, 2016. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Harvard Business School Working Papers 17-025, Harvard Business School, revised Jan 2023.
    8. Randall Lewis & Dan Nguyen, 2015. "Display advertising’s competitive spillovers to consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 13(2), pages 93-115, June.
    9. Myriã Tatiany Neves Bast & Sergio Naruhiko Sakurai, 2016. "Uma Avaliação Empírica Dos Efeitos Dos Empréstimos Do Bndes Aos Governos Municipais Brasileiros," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 064, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    10. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.
    11. Haoyan Sun & Ming Fan & Yong Tan, 2020. "An Empirical Analysis of Seller Advertising Strategies in an Online Marketplace," Information Systems Research, INFORMS, vol. 31(1), pages 37-56, March.
    12. Wei Zhou & Zidong Wang, 2020. "Competing for Search Traffic in Query Markets: Entry Strategy, Platform Design, and Entrepreneurship," Working Papers 20-12, NET Institute.
    13. Anindya Ghose & Vilma Todri, 2015. "Towards a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior," Working Papers 15-15, NET Institute.
    14. Xiang Hui & Meng Liu, 2022. "Quality Certificates Alleviate Consumer Aversion to Sponsored Search Advertising," CESifo Working Paper Series 9886, CESifo.
    15. Valente, Marica, 2023. "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    16. Yuxin Chen & Qihong Liu, 2022. "Signaling Through Advertising When an Ad Can Be Blocked," Marketing Science, INFORMS, vol. 41(1), pages 166-187, January.
    17. Arnold, René & Marcus, J. Scott & Petropoulos, Georgios & Schneider, Anna, 2018. "Is data the new oil? Diminishing returns to scale," 29th European Regional ITS Conference, Trento 2018 184927, International Telecommunications Society (ITS).
    18. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    19. Joel Barajas & Ram Akella & Marius Holtan & Aaron Flores, 2016. "Experimental Designs and Estimation for Online Display Advertising Attribution in Marketplaces," Marketing Science, INFORMS, vol. 35(3), pages 465-483, May.
    20. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899, September.

    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:inm:ormksc:v:41:y:2022:i:1:p:7-18. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.