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Television ad-skipping, consumption complementarities and the consumer demand for advertising

Author

Listed:
  • Anna E. Tuchman

    (Kellogg School of Management)

  • Harikesh S. Nair

    (Stanford GSB)

  • Pedro M. Gardete

    (Stanford GSB)

Abstract

Endogenous consumption of advertising is common. Consumers choose to change channels to avoid TV ads, click away from paid online video ads, or discard direct mail without reading advertised details. As technological advances give firms improved abilities to target individual consumers through various media, it is becoming increasingly important for models to reflect the endogenous nature of ad consumption and to consider the implications that ad choice has for firms’ targeting strategies. With this motivation, we develop an empirical model of consumer demand for advertising in which demand for ads is jointly determined with demand for the advertised products. Building on Becker and Murphy (The Quarterly Journal of Economics, 108(4), 941–964 1993)’s ideas, the model treats advertising as a good over which consumers have utility and obtains demands as the outcome of a joint utility maximization problem. Leveraging new data that links household-level TV ad-viewing with product purchases, we provide empirical evidence that is consistent with the model: ad-skipping is found to be lower when a household has purchased more of the advertised brand, and purchases are higher when more ads have been watched recently, suggesting that advertising and product consumption are jointly determined. Fitting a structural model of joint demand to the data, we evaluate consumer welfare and advertiser profitability in advertising targeting counterfactuals motivated by an “addressable” future of TV. We find that targeting on the predicted ad-skip probability is an attractive strategy, as it indirectly selects consumers that value the product. Reflecting the positive view of advertising in the model, we also find that net consumer welfare may increase in several targeting scenarios. This occurs because under improved targeting, firms shift advertising to those who are likely to value it. At the same time, consumers that do not value the ads end up skipping them, mitigating possible welfare losses. Both forces are relevant to assessing advertising effects in a world with improved targeting and ad-skipping technology.

Suggested Citation

  • Anna E. Tuchman & Harikesh S. Nair & Pedro M. Gardete, 2018. "Television ad-skipping, consumption complementarities and the consumer demand for advertising," Quantitative Marketing and Economics (QME), Springer, vol. 16(2), pages 111-174, June.
  • Handle: RePEc:kap:qmktec:v:16:y:2018:i:2:d:10.1007_s11129-017-9192-y
    DOI: 10.1007/s11129-017-9192-y
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    2. Beth L. Fossen & Alexander Bleier, 2021. "Online program engagement and audience size during television ads," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 743-761, July.
    3. Andrey Simonov & Szymon K. Sacher & Jean-Pierre H. Dubé & Shirsho Biswas, 2020. "The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the Covid-19 Pandemic," NBER Working Papers 27237, National Bureau of Economic Research, Inc.
    4. Matthew McGranaghan & Jura Liaukonyte & Kenneth C. Wilbur, 2022. "How Viewer Tuning, Presence, and Attention Respond to Ad Content and Predict Brand Search Lift," Marketing Science, INFORMS, vol. 41(5), pages 873-895, September.
    5. 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.
    6. Pedro M. Gardete & Yakov Bart, 2018. "Tailored Cheap Talk: The Effects of Privacy Policy on Ad Content and Market Outcomes," Marketing Science, INFORMS, vol. 37(5), pages 733-752, September.
    7. Xiang Hui & Meng Liu, 2022. "Quality Certificates Alleviate Consumer Aversion to Sponsored Search Advertising," CESifo Working Paper Series 9886, CESifo.
    8. Lynne Pepall & Daniel Richards, 2021. "Targeted Value-Enhancing Advertising and Price Competition," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 59(3), pages 443-459, November.
    9. Yi-Lin Tsai & Elisabeth Honka, 2021. "Informational and Noninformational Advertising Content," Marketing Science, INFORMS, vol. 40(6), pages 1030-1058, November.
    10. Garrett A. Johnson & Scott K. Shriver & Shaoyin Du, 2020. "Consumer Privacy Choice in Online Advertising: Who Opts Out and at What Cost to Industry?," Marketing Science, INFORMS, vol. 39(1), pages 33-51, January.
    11. Rex Yuxing Du & Mingyu Joo & Kenneth C. Wilbur, 2018. "Advertising and Brand Attitudes: Evidence from 575 Brands over Five Years," Papers 1810.07783, arXiv.org.
    12. Adel A. Al-Wugayan, 2023. "Celebrity appeal effectiveness in donating to the cause: Popular Culture vs. Religious Celebrities," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 20(2), pages 369-391, June.
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    14. Elif Ülker-demirel & Erkan Yıldız, 2020. "The Effects of Audience's Attitudes on Actor, Character, Movie and Product Placement on the Brand Attitude," Istanbul Business Research, Istanbul University Business School, vol. 49(2), pages 339-359, November.

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    More about this item

    Keywords

    Advertising; Ad-skipping; Addressable TV; Complementarities; Treatment effects; Non-compliance; Discrete-continuous demand; Consumer welfare;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • 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

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