skip to main content
research-article

Bid-Limited Targeting

Published:10 June 2019Publication History
Skip Abstract Section

Abstract

This article analyzes a mechanism for selling items in auctions in which the auctioneer specifies a cap on the ratio between the maximum and minimum bids that bidders may use in the auctions. Such a mechanism is widely used in online advertising through the caps that companies impose on the minimum and maximum bid multipliers that advertisers may use in targeting. When bidders’ values are independent and identically distributed, this mechanism results in greater revenue than allowing bidders to condition their bids on the targeting information in an arbitrary way and also almost always results in greater revenue than not allowing bidders to target. Choosing the optimal cap on the ratio between the maximum and minimum bids can also be more important than introducing additional competition in the auction. However, if bidders’ values are not identically distributed, pure-strategy equilibria may fail to exist.

References

  1. Ittai Abraham, Susan Athey, Moshe Babaioff, and Michael Grubb. 2016. Peaches, Lemons, and Cookies: Designing Auction Markets With Dispersed Information. Typescript. Microsoft Research.Google ScholarGoogle Scholar
  2. William James Adams and Janet L. Yellen. 1976. Commodity bundling and the burden of monopoly. Quarterly Journal of Economics 90, 3 (1976), 475--498.Google ScholarGoogle ScholarCross RefCross Ref
  3. Mark Armstrong. 2013. A more general theory of commodity bundling. Journal of Economic Theory 148, 2 (2013), 448--472.Google ScholarGoogle ScholarCross RefCross Ref
  4. Lawrence M. Ausubel, Peter Cramton, Christina Aperjis, and Daniel N. Hauser. 2016. Pilot Auction Facility for Methane and Climate Change Mitigation: Relevant Auction Theory. Typescript. Power Auctions LLC.Google ScholarGoogle Scholar
  5. Yannis Bakos and Erik Brynjolfsson. 1999. Bundling information goods: Pricing, profits, and efficiency. Management Science 45, 12 (1999), 1613--1630. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Mohammadhosein Bateni, Jon Feldman, Vahab Mirrokni, and Sam Chiu-Wai Wong. 2014. Multiplicative bidding in online advertising. In Proceedings of the 15th ACM Conference on Electronic Commerce (EC’14). 715--732.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Dirk Bergemann and Alessandro Bonatti. 2011. Targeting in advertising markets: Implications for offline versus online media. RAND Journal of Economics 42, 3 (2011), 417--443.Google ScholarGoogle ScholarCross RefCross Ref
  8. Dirk Bergemann and Martin Pesendorfer. 2007. Information structures in optimal auctions. Journal of Economic Theory 137, 1 (2007), 580--609.Google ScholarGoogle ScholarCross RefCross Ref
  9. Dirk Bergemann and Achim Wambach. 2015. Sequential information disclosure in auctions. Journal of Economic Theory 159, B (2015), 1074--1095.Google ScholarGoogle Scholar
  10. Kshipra Bhawalkar, Patrick Hummel, and Sergei Vassilvitskii. 2014. Value of targeting. In Proceedings of the 7th International Symposium on Algorithmic Game Theory (SAGT’14). 194--205.Google ScholarGoogle ScholarCross RefCross Ref
  11. Simon Board. 2009. Revealing information in auctions: The allocation effect. Economic Theory 38, 1 (2009), 125--135.Google ScholarGoogle ScholarCross RefCross Ref
  12. Jeremy I. Bulow and Paul Klemperer. 1996. Auctions versus negotiations. American Economic Review 86, 1 (1996), 180--194.Google ScholarGoogle Scholar
  13. L. Elisa Celis, Gregory Lewis, Markus M. Mobius, and Hamid Nazerzadeh. 2011. Buy-it-now or take-a-chance: A simple sequential screening mechanism. In Proceedings of the 20th International Conference on the World Wide Web (WWW’11). 147--156.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Archishman Chakraborty. 2002. Optimal price ceilings in a common value auction. Economics Bulletin 3, 7 (2002), 1--7.Google ScholarGoogle Scholar
  15. Indranil Chakraborty. 1999. Bundling decisions for selling multiple objects. Economic Theory 13, 3 (1999), 723--733.Google ScholarGoogle ScholarCross RefCross Ref
  16. Yeon-Koo Che and Ian Gale. 1998. Caps on political lobbying. American Economic Review 88, 3 (1998), 643--651.Google ScholarGoogle Scholar
  17. Yeon-Koo Che and Ian Gale. 2006. Caps on political lobbying: Reply. American Economic Review 96, 4 (2006), 1355--1360.Google ScholarGoogle ScholarCross RefCross Ref
  18. Jianqing Chen and Jan Stallaert. 2014. An economic analysis of online advertising using behavioral targeting. MIS Quarterly 38, 2 (2014), 429--449. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Alexandre De Corniére and Romain De Nijs. 2016. Online advertising and privacy. RAND Journal of Economics 47, 1 (2016), 48--72.Google ScholarGoogle ScholarCross RefCross Ref
  20. Pascal Courty and Hao Li. 2000. Sequential screening. Review of Economic Studies 67, 4 (2000), 697--717.Google ScholarGoogle ScholarCross RefCross Ref
  21. Benjamin Edelman, Michael Ostrovsky, and Michael Schwarz. 2007. Internet advertising and the generalized second price auction: Selling billions of dollars of keywords. American Economic Review 97, 1 (2007), 242--259.Google ScholarGoogle ScholarCross RefCross Ref
  22. Ezra Einy, Ori Haimanko, Ram Orzach, and Aner Sela. 2016. Common-value all-pay auctions with asymmetric information and bid caps. International Journal of Game Theory 45, 1 (2016), 63--88.Google ScholarGoogle ScholarCross RefCross Ref
  23. Yuval Emek, Michal Feldman, Iftah Gamzu, Renato Paes Leme, and Moshe Tennenholtz. 2014. Signaling schemes for revenue maximization. ACM Transactions on Economics and Computation 2, 2 (2014), Article 5. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Péter Eso and Balázs Szentes. 2007. Optimal information disclosure in auctions and the handicap auction. Review of Economic Studies 74, 3 (2007), 705--731.Google ScholarGoogle ScholarCross RefCross Ref
  25. Hanming Fang and Peter Norman. 2006. To bundle or not to bundle. RAND Journal of Economics 37, 4 (2006), 946--963.Google ScholarGoogle ScholarCross RefCross Ref
  26. Hu Fu, Patrick Jordan, Mohammad Mahdian, Uri Nadav, Inbal Talgam-Cohen, and Sergei Vassilvitskii. 2012. Ad auctions with data. In Proceedings of the 5th International Symposium on Algorithmic Game Theory (SAGT’12). 184--189.Google ScholarGoogle ScholarCross RefCross Ref
  27. Juan-José Ganuza. 2004. Ignorance promotes competition: An auction model with endogenous private valuations. RAND Journal of Economics 35, 3 (2004), 583--598.Google ScholarGoogle ScholarCross RefCross Ref
  28. Arieh Gavious, Benny Moldovanu, and Aner Sela. 2002. Bid costs and endogenous bid caps. RAND Journal of Economics 33, 4 (2002), 709--722.Google ScholarGoogle ScholarCross RefCross Ref
  29. Arpita Ghosh, Hamid Nazerzadeh, and Mukund Sundarajan. 2007. Computing optimal bundles for sponsored search. In Proceedings of the 3rd International Workshop on Internet and Network Economics (WINE’07). 576--583.Google ScholarGoogle ScholarCross RefCross Ref
  30. Arpita Ghosh and Aaron Roth. 2015. Selling privacy at an auction. Games and Economic Behavior 91 (2015), 334--346.Google ScholarGoogle ScholarCross RefCross Ref
  31. Renato Gomes and Kane Sweeney. 2014. Bayes-Nash equilibria of the generalized second-price auction. Games and Economic Behavior 86 (2014), 421--437.Google ScholarGoogle ScholarCross RefCross Ref
  32. Sergiu Hart and Noam Nisan. 2017. Approximate revenue maximization with multiple items. Journal of Economic Theory 172 (2017), 313--347.Google ScholarGoogle ScholarCross RefCross Ref
  33. Daniel Hellerstein, Nathaniel Higgins, and Michael Roberts. 2015. Options for Improving Conservation Programs: Insights From Auction Theory and Economic Experiments. Economic Research Report 181. U.S. Department of Agriculture.Google ScholarGoogle Scholar
  34. Paul R. Hoban and Randolph E. Bucklin. 2015. Effects of Internet display advertising in the purchase funnel: Model-based insights from a randomized field experiment. Journal of Marketing Research 52 (2015), 375--393.Google ScholarGoogle ScholarCross RefCross Ref
  35. Patrick Hummel and R. Preston McAfee. 2016. When does improved targeting increase revenue? ACM Transactions on Economics and Computation 5, 1 (2016), Article 4. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Pooya Jalaly and Eva Tardos. 2015. Quality of Outcomes in Online Advertisement With Multiplicative Bid-Adjustments. Typescript. Cornell University.Google ScholarGoogle Scholar
  37. Phillipe Jehiel, Moritz Meyer ter Vehn, and Benny Moldovanu. 2007. Mixed bundling auctions. Journal of Economic Theory 134, 1 (2007), 494--512.Google ScholarGoogle ScholarCross RefCross Ref
  38. Garrett A. Johnson. 2013. The Impact of Privacy Policy on the Auction Market for Online Display Advertising. Typescript. University of Rochester.Google ScholarGoogle Scholar
  39. Todd R. Kaplan and David Wettstein. 2006. Caps on political lobbying: Comment. American Economic Review 96, 4 (2006), 1351--1354.Google ScholarGoogle ScholarCross RefCross Ref
  40. Chinmay Karande, Aranyak Mehta, and Ramakrishnan Srikant. 2013. Optimizing budget constrained spend in search advertising. In Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM’13). 697--706.Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Sébastian Lahaie and R. Preston McAfee. 2011. Efficient ranking in sponsored search. In Proceedings of the 7th International Workshop on Internet and Network Economics (WINE’11). 254--265.Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Jonathan Levin and Paul Milgrom. 2010. Online advertising: Heterogeneity and conflation in market design. American Economic Review: Papers and Proceedings 100, 2 (2010), 603--607.Google ScholarGoogle ScholarCross RefCross Ref
  43. R. Preston McAfee and John McMillan. 1988. Multidimensional incentive compatibility and mechanism design. Journal of Economic Theory 46, 2 (1988), 335--354.Google ScholarGoogle ScholarCross RefCross Ref
  44. R. Preston McAfee, John McMillan, and Michael D. Whinston. 1989. Multiproduct monopoly, commodity bundling, and correlation of values. Quarterly Journal of Economics 104, 2 (1989), 371--383.Google ScholarGoogle ScholarCross RefCross Ref
  45. Paul Milgrom and Robert J. Weber. 1982. A theory of auctions and competitive bidding. Econometrica 50, 5 (1982), 1089--1122.Google ScholarGoogle ScholarCross RefCross Ref
  46. Roger B. Myerson. 1981. Optimal auction design. Mathematics of Operations Research 6, 1 (1981), 58--73.Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. Michael Ostrovsky and Michael Schwarz. 2016. Reserve Prices in Internet Advertising Auctions: A Field Experiment. Typescript. Stanford Graduate School of Business.Google ScholarGoogle Scholar
  48. Thomas Palfrey. 1983. Bundling decisions by a multiproduct monopolist with incomplete information. Econometrica 51, 2 (1983), 463--483.Google ScholarGoogle ScholarCross RefCross Ref
  49. Phillip J. Reny. 1999. On the existence of pure and mixed strategy equilibria in discontinuous games. Econometrica 67, 5 (1999), 1029--1056.Google ScholarGoogle ScholarCross RefCross Ref
  50. Nicolas Sahuguet. 2006. Caps in asymmetric all-pay auctions with incomplete information. Economics Bulletin 3, 9 (2006), 1--8.Google ScholarGoogle Scholar
  51. Yang Sun, Yunhong Zhou, and Xiaotie Deng. 2014. Optimal reserve prices in weighted GSP auctions. Electronic Commerce Research and Applications 13, 3 (2014), 178--187.Google ScholarGoogle ScholarCross RefCross Ref
  52. Nora Szech. 2015. Tie-breaks and bid-caps in all-pay auctions. Games and Economic Behavior 92 (2015), 138--149.Google ScholarGoogle ScholarCross RefCross Ref
  53. Hal R. Varian. 2007. Position auctions. International Journal of Industrial Organization 25, 6 (2007), 1163--1178.Google ScholarGoogle ScholarCross RefCross Ref
  54. Daniel R. Vincent and Alejandro Manelli. 2006. Bundling as an optimal selling mechanism for a multiple-good monopolist. Journal of Economic Theory 127, 1 (2006), 1--35.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Bid-Limited Targeting

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image ACM Transactions on Economics and Computation
        ACM Transactions on Economics and Computation  Volume 7, Issue 2
        May 2019
        170 pages
        ISSN:2167-8375
        EISSN:2167-8383
        DOI:10.1145/3340299
        Issue’s Table of Contents

        Copyright © 2019 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 10 June 2019
        • Accepted: 1 February 2019
        • Revised: 1 January 2019
        • Received: 1 March 2018
        Published in teac Volume 7, Issue 2

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed
      • Article Metrics

        • Downloads (Last 12 months)15
        • Downloads (Last 6 weeks)1

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format