IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v62y2016i7p2022-2038.html
   My bibliography  Save this article

Incentive Problems in Performance-Based Online Advertising Pricing: Cost per Click vs. Cost per Action

Author

Listed:
  • Yu (Jeffrey) Hu

    (Scheller College of Business, Georgia Institute of Technology, Atlanta, Georgia 30308)

  • Jiwoong Shin

    (School of Management, Yale University, New Haven, Connecticut 06520)

  • Zhulei Tang

    (Independent Consultant, Atlanta, Georgia 30305)

Abstract

The multibillion-dollar online advertising industry continues to debate whether to use the cost per click (CPC) or cost per action (CPA) pricing model as an industry standard. This paper applies the economic framework of incentive contracts to study how these pricing models can lead to risk sharing between the publisher and the advertiser and incentivize them to make efforts that improve the performance of online ads. We find that, compared with the CPC model, the CPA model can better incentivize the publisher to make efforts that can improve the purchase rate. However, the CPA model can cause an adverse selection problem: the winning advertiser tends to have a lower profit margin under the CPA model than under the CPC model. We identify the conditions under which the CPA model leads to higher publisher (or advertiser) payoffs than the CPC model. Whether publishers (or advertisers) prefer the CPA model over the CPC model depends on the advertisers’ risk aversion, uncertainty in the product market, and the presence of advertisers with low immediate sales ratios. Our findings indicate a conflict of interest between publishers and advertisers in their preferences for these two pricing models. We further consider which pricing model offers greater social welfare. This paper was accepted by J. Miguel Villas-Boas, marketing .

Suggested Citation

  • Yu (Jeffrey) Hu & Jiwoong Shin & Zhulei Tang, 2016. "Incentive Problems in Performance-Based Online Advertising Pricing: Cost per Click vs. Cost per Action," Management Science, INFORMS, vol. 62(7), pages 2022-2038, July.
  • Handle: RePEc:inm:ormnsc:v:62:y:2016:i:7:p:2022-2038
    DOI: 10.1287/mnsc.2015.2223
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2015.2223
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2015.2223?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. Susan Athey & Glenn Ellison, 2011. "Position Auctions with Consumer Search," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(3), pages 1213-1270.
    2. Wilfred Amaldoss & Preyas S. Desai & Woochoel Shin, 2015. "Keyword Search Advertising and First-Page Bid Estimates: A Strategic Analysis," Management Science, INFORMS, vol. 61(3), pages 507-519, March.
    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. Ron Berman, 2018. "Beyond the Last Touch: Attribution in Online Advertising," Marketing Science, INFORMS, vol. 37(5), pages 771-792, September.
    5. Susan Athey & Jonathan Levin, 2001. "Information and Competition in U.S. Forest Service Timber Auctions," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 375-417, April.
    6. HOLMSTROM, Bengt, 1979. "Moral hazard and observability," LIDAM Reprints CORE 379, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    8. Kenneth C. Wilbur & Yi Zhu, 2009. "Click Fraud," Marketing Science, INFORMS, vol. 28(2), pages 293-308, 03-04.
    9. 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.
    10. Asplund, Marcus, 2002. "Risk-averse firms in oligopoly," International Journal of Industrial Organization, Elsevier, vol. 20(7), pages 995-1012, September.
    11. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    12. Varian, Hal R., 2007. "Position auctions," International Journal of Industrial Organization, Elsevier, vol. 25(6), pages 1163-1178, December.
    13. John R. Hauser & Duncan I. Simester & Birger Wernerfelt, 1994. "Customer Satisfaction Incentives," Marketing Science, INFORMS, vol. 13(4), pages 327-350.
    14. Juan Feng & Hemant K. Bhargava & David M. Pennock, 2007. "Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative Mechanisms," INFORMS Journal on Computing, INFORMS, vol. 19(1), pages 137-148, February.
    15. Nikhil Agarwal & Susan Athey & David Yang, 2009. "Skewed Bidding in Pay-per-Action Auctions for Online Advertising," American Economic Review, American Economic Association, vol. 99(2), pages 441-447, May.
    16. Patrali Chatterjee & Donna L. Hoffman & Thomas P. Novak, 2003. "Modeling the Clickstream: Implications for Web-Based Advertising Efforts," Marketing Science, INFORMS, vol. 22(4), pages 520-541, May.
    17. Holmstrom, Bengt & Milgrom, Paul, 1987. "Aggregation and Linearity in the Provision of Intertemporal Incentives," Econometrica, Econometric Society, vol. 55(2), pages 303-328, March.
    18. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    19. Avi Goldfarb & Catherine Tucker, 2011. "Search Engine Advertising: Channel Substitution When Pricing Ads to Context," Management Science, INFORMS, vol. 57(3), pages 458-470, March.
    20. Kursad Asdemir & Nanda Kumar & Varghese S. Jacob, 2012. "Pricing Models for Online Advertising: CPM vs. CPC," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 804-822, September.
    21. Song Yao & Carl F. Mela, 2011. "A Dynamic Model of Sponsored Search Advertising," Marketing Science, INFORMS, vol. 30(3), pages 447-468, 05-06.
    22. Bengt Holmstrom, 1979. "Moral Hazard and Observability," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 74-91, Spring.
    23. Zsolt Katona & Miklos Sarvary, 2010. "The Race for Sponsored Links: Bidding Patterns for Search Advertising," Marketing Science, INFORMS, vol. 29(2), pages 199-215, 03-04.
    24. Lafontaine, Francine & Slade, Margaret E., 1996. "Retail contracting and costly monitoring: Theory and evidence," European Economic Review, Elsevier, vol. 40(3-5), pages 923-932, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Erdmann, Anett & Arilla, Ramón & Ponzoa, José M., 2022. "Search engine optimization: The long-term strategy of keyword choice," Journal of Business Research, Elsevier, vol. 144(C), pages 650-662.
    2. Xiuzhi Zhang & Ying Zhang & Zhijie Lin, 2023. "Online Advertising and Real Estate sales: evidence from the Housing Market," Electronic Commerce Research, Springer, vol. 23(1), pages 605-622, March.
    3. W. Jason Choi & Amin Sayedi, 2019. "Learning in Online Advertising," Marketing Science, INFORMS, vol. 38(4), pages 584-608, July.
    4. Song, Zhuzhu & Tang, Wansheng & Zhao, Ruiqing, 2017. "Ocean carrier canvassing strategies with uncertain demand and limited capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 189-210.
    5. Du, Ruihuan & Zhong, Yu & Nair, Harikesh S. & Cui, Bo & Shou, Ruyang, 2019. "Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network," Research Papers 3761, Stanford University, Graduate School of Business.
    6. Jiwoong Shin & Woochoel Shin, 2023. "A Theory of Irrelevant Advertising: An Agency-Induced Targeting Inefficiency," Management Science, INFORMS, vol. 69(8), pages 4481-4497, August.
    7. Dengpan Liu & Subodha Kumar & Vijay S. Mookerjee, 2020. "Flexible and Committed Advertising Contracts in Electronic Retailing," Information Systems Research, INFORMS, vol. 31(2), pages 323-339, June.
    8. Johannes Hermle & Giorgio Martini, 2022. "Valid and Unobtrusive Measurement of Returns to Advertising through Asymmetric Budget Split," Papers 2207.00206, arXiv.org.
    9. Jan Krämer & Daniel Schnurr & Michael Wohlfarth, 2019. "Winners, Losers, and Facebook: The Role of Social Logins in the Online Advertising Ecosystem," Management Science, INFORMS, vol. 65(4), pages 1678-1699, April.
    10. Hana Choi & Carl F. Mela & Santiago R. Balseiro & Adam Leary, 2020. "Online Display Advertising Markets: A Literature Review and Future Directions," Information Systems Research, INFORMS, vol. 31(2), pages 556-575, June.
    11. Alex Jiyoung Kim & Subramanian Balachander, 2023. "Coordinating traditional media advertising and online advertising in brand marketing," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1865-1879, June.
    12. 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.
    13. Veronica Marotta & Yue Wu & Kaifu Zhang & Alessandro Acquisti, 2022. "The Welfare Impact of Targeted Advertising Technologies," Information Systems Research, INFORMS, vol. 33(1), pages 131-151, March.
    14. Erdmann, Anett & Ponzoa, José M., 2021. "Digital inbound marketing: Measuring the economic performance of grocery e-commerce in Europe and the USA," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    15. Abhijeet Ghoshal & Radha Mookerjee & Zhen Sun, 2023. "Serving two masters? Optimizing mobile ad contracts with heterogeneous advertisers," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 618-636, February.
    16. Thomas W. Frick & Rodrigo Belo & Rahul Telang, 2023. "Incentive Misalignments in Programmatic Advertising: Evidence from a Randomized Field Experiment," Management Science, INFORMS, vol. 69(3), pages 1665-1686, March.
    17. Karthik Kannan & Rajib L. Saha & Warut Khern-am-nuai, 2022. "Identifying Perverse Incentives in Buyer Profiling on Online Trading Platforms," Information Systems Research, INFORMS, vol. 33(2), pages 464-475, June.
    18. Duan, Yongrui & Liu, Peng & Feng, Yixuan, 2022. "Pricing strategies of two-sided platforms considering privacy concerns," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    19. Tao Wang, 2023. "A Study on the Choice of Online Marketplace Co-Opetition Strategy Considering the Promotional Behavior of a Store on an E-Commerce Platform," Mathematics, MDPI, vol. 11(10), pages 1-16, May.

    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. 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.
    2. Kinshuk Jerath & Liye Ma & Young-Hoon Park & Kannan Srinivasan, 2011. "A "Position Paradox" in Sponsored Search Auctions," Marketing Science, INFORMS, vol. 30(4), pages 612-627, July.
    3. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    4. Li, Sanxi & Sun, Hailin & Yu, Jun, 2023. "Competitive targeted online advertising," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    5. Shijie Lu & Yi Zhu & Anthony Dukes, 2015. "Position Auctions with Budget Constraints: Implications for Advertisers and Publishers," Marketing Science, INFORMS, vol. 34(6), pages 897-905, November.
    6. Kaplan, Todd R. & Zamir, Shmuel, 2015. "Advances in Auctions," Handbook of Game Theory with Economic Applications,, Elsevier.
    7. Jiwoong Shin & Woochoel Shin, 2023. "A Theory of Irrelevant Advertising: An Agency-Induced Targeting Inefficiency," Management Science, INFORMS, vol. 69(8), pages 4481-4497, August.
    8. Amin Sayedi & Kinshuk Jerath & Marjan Baghaie, 2018. "Exclusive Placement in Online Advertising," Marketing Science, INFORMS, vol. 37(6), pages 970-986, November.
    9. Wilfred Amaldoss & Kinshuk Jerath & Amin Sayedi, 2016. "Keyword Management Costs and “Broad Match” in Sponsored Search Advertising," Marketing Science, INFORMS, vol. 35(2), pages 259-274, March.
    10. 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.
    11. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    12. Alex Jiyoung Kim & Subramanian Balachander, 2023. "Coordinating traditional media advertising and online advertising in brand marketing," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1865-1879, June.
    13. W. Jason Choi & Amin Sayedi, 2019. "Learning in Online Advertising," Marketing Science, INFORMS, vol. 38(4), pages 584-608, July.
    14. Yi Zhu & Kenneth C. Wilbur, 2008. "Strategic Bidding in Hybrid CPC/CPM Auctions," Working Papers 08-25, NET Institute, revised Oct 2008.
    15. Taylor, Greg, 2011. "The informativeness of on-line advertising," International Journal of Industrial Organization, Elsevier, vol. 29(6), pages 668-677.
    16. Patrick Hummel, 2018. "Hybrid mechanisms for Vickrey–Clarke–Groves and generalized second-price bids," International Journal of Game Theory, Springer;Game Theory Society, vol. 47(1), pages 331-350, March.
    17. Amin Sayedi, 2018. "Real-Time Bidding in Online Display Advertising," Marketing Science, INFORMS, vol. 37(4), pages 553-568, August.
    18. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    19. Federico Etro, 2012. "Leadership in Multi-sided Markets and Dominance in Online Advertising," Chapters, in: Joseph E. Harrington Jr & Yannis Katsoulacos (ed.), Recent Advances in the Analysis of Competition Policy and Regulation, chapter 11, Edward Elgar Publishing.
    20. Chrysanthos Dellarocas, 2012. "Double Marginalization in Performance-Based Advertising: Implications and Solutions," Management Science, INFORMS, vol. 58(6), pages 1178-1195, 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:ormnsc:v:62:y:2016:i:7:p:2022-2038. 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.