IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v41y2022i1p166-187.html
   My bibliography  Save this article

Signaling Through Advertising When an Ad Can Be Blocked

Author

Listed:
  • Yuxin Chen

    (NYU Shanghai, Shanghai 200122, China)

  • Qihong Liu

    (Department of Economics, University of Oklahoma, Norman, Oklahoma 73019)

Abstract

The advance of ad-blocking technology is expected to have profound implications on the advertising industry. This paper makes the first attempt to understand the impacts of ad blocking on consumer’s ad avoidance and optimal reactions by advertiser and ad platform while advertising signals quality. We extend the standard models on ad signaling to the context of ad blocking. Our model incorporates both ad-production cost and ad-distribution cost, and allows ad quality (ad production) to impact consumers’ nuisance costs. We find that, counterintuitively, a lower ad-blocking cost may result in fewer consumers blocking ads and higher profit for the advertiser. This is driven by the signaling function of advertising. In particular, the ad platform reacts to lower ad-blocking cost by lowering the unit ad-distribution cost it charges, forcing the advertiser to spend more on ad production because ad-distribution cost alone is insufficient to signal product quality. The high ad-production cost may offset consumers’ disutility of ad viewing and result in fewer consumers blocking ads when ad blocking becomes less costly. We also confirm the robustness of this insight with various model extensions and discuss the implications of our findings.

Suggested Citation

  • Yuxin Chen & Qihong Liu, 2022. "Signaling Through Advertising When an Ad Can Be Blocked," Marketing Science, INFORMS, vol. 41(1), pages 166-187, January.
  • Handle: RePEc:inm:ormksc:v:41:y:2022:i:1:p:166-187
    DOI: 10.1287/mksc.2021.1288
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.2021.1288
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2021.1288?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. Maarten C. W. Janssen & Marielle C. Non, 2009. "Going Where the Ad Leads You: On High Advertised Prices and Searching Where to Buy," Marketing Science, INFORMS, vol. 28(1), pages 87-98, 01-02.
    3. Hao Zhao, 2000. "Raising Awareness and Signaling Quality to Uninformed Consumers: A Price-Advertising Model," Marketing Science, INFORMS, vol. 19(4), pages 390-396, January.
    4. Kihlstrom, Richard E & Riordan, Michael H, 1984. "Advertising as a Signal," Journal of Political Economy, University of Chicago Press, vol. 92(3), pages 427-450, June.
    5. Ajay Kalra & Shibo Li, 2008. "Signaling Quality Through Specialization," Marketing Science, INFORMS, vol. 27(2), pages 168-184, 03-04.
    6. Gene M. Grossman & Carl Shapiro, 1984. "Informative Advertising with Differentiated Products," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(1), pages 63-81.
    7. Yi Zhu & Anthony Dukes, 2017. "Prominent Attributes Under Limited Attention," Marketing Science, INFORMS, vol. 36(5), pages 683-698, September.
    8. Milgrom, Paul & Roberts, John, 1986. "Price and Advertising Signals of Product Quality," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 796-821, August.
    9. Thales S. Teixeira & Michel Wedel & Rik Pieters, 2010. "Moment-to-Moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing," Marketing Science, INFORMS, vol. 29(5), pages 783-804, 09-10.
    10. Justin P. Johnson, 2013. "Targeted advertising and advertising avoidance," RAND Journal of Economics, RAND Corporation, vol. 44(1), pages 128-144, March.
    11. Bagwell, Kyle & Riordan, Michael H, 1991. "High and Declining Prices Signal Product Quality," American Economic Review, American Economic Association, vol. 81(1), pages 224-239, March.
    12. Nelson, Philip, 1974. "Advertising as Information," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 729-754, July/Aug..
    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. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    15. 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.
    16. Sridhar Moorthy & Kannan Srinivasan, 1995. "Signaling Quality with a Money-Back Guarantee: The Role of Transaction Costs," Marketing Science, INFORMS, vol. 14(4), pages 442-466.
    17. S. Siddarth & Amitava Chattopadhyay, 1998. "To Zap or Not to Zap: A Study of the Determinants of Channel Switching During Commercials," Marketing Science, INFORMS, vol. 17(2), pages 124-138.
    18. Gerard R. Butters, 1977. "Equilibrium Distributions of Sales and Advertising Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 465-491.
    19. 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.
    20. Kenneth C. Wilbur & Linli Xu & David Kempe, 2013. "Correcting Audience Externalities in Television Advertising," Marketing Science, INFORMS, vol. 32(6), pages 892-912, November.
    21. Baojun Jiang & Jian Ni & Kannan Srinivasan, 2014. "Signaling Through Pricing by Service Providers with Social Preferences," Marketing Science, INFORMS, vol. 33(5), pages 641-654, September.
    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. Tingting Nian & Arun Sundararajan, 2022. "Social Media Marketing, Quality Signaling, and the Goldilocks Principle," Information Systems Research, INFORMS, vol. 33(2), pages 540-556, June.
    2. Simon P. Anderson & Régis Renault, 2013. "The Advertising Mix for a Search Good," Management Science, INFORMS, vol. 59(1), pages 69-83, April.
    3. Yogesh V. Joshi & Andres Musalem, 2021. "When Consumers Learn, Money Burns: Signaling Quality via Advertising with Observational Learning and Word of Mouth," Marketing Science, INFORMS, vol. 40(1), pages 168-188, January.
    4. repec:dau:papers:123456789/12407 is not listed on IDEAS
    5. 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.
    6. Baojun Jiang & Bicheng Yang, 2019. "Quality and Pricing Decisions in a Market with Consumer Information Sharing," Management Science, INFORMS, vol. 65(1), pages 272-285, January.
    7. Dina Mayzlin & Jiwoong Shin, 2011. "Uninformative Advertising as an Invitation to Search," Marketing Science, INFORMS, vol. 30(4), pages 666-685, July.
    8. Salvatore Piccolo & Piero Tedeschi & Giovanni Ursino, 2018. "Deceptive Advertising with Rational Buyers," Management Science, INFORMS, vol. 64(3), pages 1291-1310, March.
    9. Moraga-Gonzalez, Jose Luis, 2000. "Quality uncertainty and informative advertising," International Journal of Industrial Organization, Elsevier, vol. 18(4), pages 615-640, May.
    10. Yu‐Hung Chen & Baojun Jiang, 2021. "Dynamic Pricing and Price Commitment of New Experience Goods," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2752-2764, August.
    11. Soberman, David A. & Xiang, Yi, 2022. "Designing the content of advertising in a differentiated market," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 190-211.
    12. Liang Guo & Yue Wu, 2016. "Consumer deliberation and quality signaling," Quantitative Marketing and Economics (QME), Springer, vol. 14(3), pages 233-269, September.
    13. G. E. Fruchter, 2009. "Signaling Quality: Dynamic Price-Advertising Model," Journal of Optimization Theory and Applications, Springer, vol. 143(3), pages 479-496, December.
    14. Ying Gao & Xiangpei Hu & Qingkai Ji, 2022. "Quality signaling strategies of experience goods in online–offline channel integration," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2967-2981, October.
    15. Bharat Anand & Ron Shachar, 2009. "Targeted advertising as a signal," Quantitative Marketing and Economics (QME), Springer, vol. 7(3), pages 237-266, September.
    16. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899, January.
    17. Yang, Yupin & Lu, Qiang (Steven) & Tang, Guanting & Pei, Jian, 2015. "The Impact of Market Competition on Search Advertising," Journal of Interactive Marketing, Elsevier, vol. 30(C), pages 46-55.
    18. Dokyun Lee & Kartik Hosanagar & Harikesh S. Nair, 2018. "Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook," Management Science, INFORMS, vol. 64(11), pages 5105-5131, November.
    19. Laurent Cavenaile & Pau Roldan-Blanco, 2021. "Advertising, Innovation, and Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(3), pages 251-303, July.
    20. Yi Qian & Qiang Gong & Yuxin Chen, 2015. "Untangling Searchable and Experiential Quality Responses to Counterfeits," Marketing Science, INFORMS, vol. 34(4), pages 522-538, July.
    21. Guofang Huang & Matthew Shum & Wei Tan, 2019. "Is pharmaceutical detailing informative? Evidence from contraindicated drug prescriptions," Quantitative Marketing and Economics (QME), Springer, vol. 17(2), pages 135-160, June.

    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:166-187. 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.