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Research Note ---Performance-Based Advertising: Advertising as Signals of Product Quality

Author

Listed:
  • Juan Feng

    (Department of Information Systems, City University of Hong Kong, Kowloon Tong, Hong Kong)

  • Jinhong Xie

    (Marketing Department, Warrington College of Business Administration, University of Florida, Gainesville, Florida 32611)

Abstract

Performance-based advertising is becoming increasingly popular in the online advertising industry, where advertisers pay the publisher only when the advertisement generates an “action” (e.g., a click-through or a purchase). This paper illustrates that adopting this emerging advertising scheme has profound impacts on one fundamental function of advertising---signaling product quality. We identify several important dimensions that affect the signaling function of performance-based advertising relative to its traditional counterpart (impression-based advertising). These include: (1) information ---total advertising expenditure is determined after the demand is realized, so it is unobservable to consumers when making purchase decisions; (2) ad performance ---the measured “performance” (e.g., recorded click-throughs) includes actions generated by first-time buyers (i.e., advertising performance) and actions generated by repeat buyers (i.e., product performance), which increases the cost of signaling through advertising; (3) demand uncertainty ---the merchant pays only when a response to the advertisement is generated, which reduces the merchant's advertising uncertainty. We build a model of performance-based advertising by explicitly incorporating these factors, and we derive the conditions under which switching to performance-based advertising will (a) disable or strengthen the signaling function of advertising, (b) help or hurt the merchant, and (c) lead to a higher or lower advertising expenditure.

Suggested Citation

  • Juan Feng & Jinhong Xie, 2012. "Research Note ---Performance-Based Advertising: Advertising as Signals of Product Quality," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 1030-1041, September.
  • Handle: RePEc:inm:orisre:v:23:y:2012:i:3-part-2:p:1030-1041
    DOI: 10.1287/isre.1110.0380
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    References listed on IDEAS

    as
    1. De Liu & Jianqing Chen & Andrew B. Whinston, 2010. "Ex Ante Information and the Design of Keyword Auctions," Information Systems Research, INFORMS, vol. 21(1), pages 133-153, March.
    2. Juan Feng, 2008. "—Optimal Mechanism for Selling a Set of Commonly Ranked Objects," Marketing Science, INFORMS, vol. 27(3), pages 501-512, 05-06.
    3. Benjamin Edelman & Michael Ostrovsky & Michael Schwarz, 2007. "Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords," American Economic Review, American Economic Association, vol. 97(1), pages 242-259, March.
    4. J. G. Kallberg & W. T. Ziemba, 1983. "Comparison of Alternative Utility Functions in Portfolio Selection Problems," Management Science, INFORMS, vol. 29(11), pages 1257-1276, November.
    5. 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.
    6. Thomas A. Weber & Zhiqiang (Eric) Zheng, 2007. "A Model of Search Intermediaries and Paid Referrals," Information Systems Research, INFORMS, vol. 18(4), pages 414-436, December.
    7. Animesh Animesh & Vandana Ramachandran & Siva Viswanathan, 2010. "Research Note ---Quality Uncertainty and the Performance of Online Sponsored Search Markets: An Empirical Investigation," Information Systems Research, INFORMS, vol. 21(1), pages 190-201, March.
    8. Muller, Holger M., 1998. "The First-Best Sharing Rule in the Continuous-Time Principal-Agent Problem with Exponential Utility," Journal of Economic Theory, Elsevier, vol. 79(2), pages 276-280, April.
    9. Arun Sundararajan, 2004. "Nonlinear Pricing of Information Goods," Management Science, INFORMS, vol. 50(12), pages 1660-1673, December.
    10. Ignatius Horstmann & Sridhar Moorthy, 2003. "Advertising Spending and Quality for Services: The Role of Capacity," Quantitative Marketing and Economics (QME), Springer, vol. 1(3), pages 337-365, September.
    11. 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.
    12. 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.
    13. Holmstrom, Bengt & Milgrom, Paul, 1987. "Aggregation and Linearity in the Provision of Intertemporal Incentives," Econometrica, Econometric Society, vol. 55(2), pages 303-328, March.
    14. Nelson Granados & Alok Gupta & Robert J. Kauffman, 2010. "Research Commentary---Information Transparency in Business-to-Consumer Markets: Concepts, Framework, and Research Agenda," Information Systems Research, INFORMS, vol. 21(2), pages 207-226, June.
    15. 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.
    16. Nelson, Philip, 1974. "Advertising as Information," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 729-754, July/Aug..
    17. Yong Tan & Vijay S. Mookerjee, 2005. "Allocating Spending Between Advertising and Information Technology in Electronic Retailing," Management Science, INFORMS, vol. 51(8), pages 1236-1249, August.
    18. Mark Armstrong & Robert Porter (ed.), 2007. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 3, number 1.
    19. R. Norgaard & T. Killeen, 1980. "Expected Utility and the Truncated Normal Distribution," Management Science, INFORMS, vol. 26(9), pages 901-909, September.
    20. Sha Yang & Anindya Ghose, 2010. "Analyzing the Relationship Between Organic and Sponsored Search Advertising: Positive, Negative, or Zero Interdependence?," Marketing Science, INFORMS, vol. 29(4), pages 602-623, 07-08.
    21. Bagwell, Kyle, 2007. "The Economic Analysis of Advertising," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 28, pages 1701-1844, Elsevier.
    Full references (including those not matched with items on IDEAS)

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