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Online Display Advertising Markets: A Literature Review and Future Directions

Author

Listed:
  • Hana Choi

    (Simon School of Business, University of Rochester, Rochester, New York 14627;)

  • Carl F. Mela

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708;)

  • Santiago R. Balseiro

    (Graduate School of Business, Columbia University, New York, New York 10027;)

  • Adam Leary

    (CBS Interactive, San Francisco, California 92105)

Abstract

This paper summarizes the display advertising literature, organizing the content by the agents in the display advertising ecosystem, and proposes new research directions. In doing so, we take an interdisciplinary view, drawing connections among diverse streams of theoretical and empirical research in information systems, marketing, economics, operations, and computer science. By providing an integrated view of the display advertising ecosystem, we hope to bring attention to the outstanding research opportunities in this economically consequential and rapidly growing market.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orisre:v:31:y:2020:i:2:p:556-575
    DOI: 10.1287/isre.2019.0902
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    1. Eric M. Schwartz & Eric T. Bradlow & Peter S. Fader, 2017. "Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments," Marketing Science, INFORMS, vol. 36(4), pages 500-522, July.
    2. 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.
    3. Santiago R. Balseiro & Jon Feldman & Vahab Mirrokni & S. Muthukrishnan, 2014. "Yield Optimization of Display Advertising with Ad Exchange," Management Science, INFORMS, vol. 60(12), pages 2886-2907, December.
    4. Navdeep S. Sahni, 2015. "Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 203-247, September.
    5. Patrick Hummel & R. Preston McAfee, 2017. "Loss functions for predicted click†through rates in auctions for online advertising," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1314-1328, November.
    6. Dirk Bergemann & Alessandro Bonatti, 2015. "Selling Cookies," American Economic Journal: Microeconomics, American Economic Association, vol. 7(3), pages 259-294, August.
    7. Ron Berman, 2018. "Beyond the Last Touch: Attribution in Online Advertising," Marketing Science, INFORMS, vol. 37(5), pages 771-792, September.
    8. Randall Lewis & Justin M. Rao & David H. Reiley, 2015. "Measuring the Effects of Advertising: The Digital Frontier," NBER Chapters, in: Economic Analysis of the Digital Economy, pages 191-218, National Bureau of Economic Research, Inc.
    9. Brett R. Gordon & Florian Zettelmeyer & Neha Bhargava & Dan Chapsky, 2019. "A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook," Marketing Science, INFORMS, vol. 38(2), pages 193-225, March.
    10. Avi Goldfarb & Catherine E. Tucker, 2011. "Privacy Regulation and Online Advertising," Management Science, INFORMS, vol. 57(1), pages 57-71, January.
    11. 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.
    12. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    13. Steven L. Scott, 2010. "A modern Bayesian look at the multi‐armed bandit," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(6), pages 639-658, November.
    14. Randolph E. Bucklin & Paul R. Hoban, 2017. "Marketing Models for Internet Advertising," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 431-462, Springer.
    15. 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.
    16. Chrysanthos Dellarocas, 2012. "Double Marginalization in Performance-Based Advertising: Implications and Solutions," Management Science, INFORMS, vol. 58(6), pages 1178-1195, June.
    17. Navdeep S. Sahni, 2015. "Erratum to: Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 249-250, September.
    18. Baye, Michael R. & Morgan, John, 2000. "A simple model of advertising and subscription fees," Economics Letters, Elsevier, vol. 69(3), pages 345-351, December.
    19. Santiago R. Balseiro & Omar Besbes & Gabriel Y. Weintraub, 2015. "Repeated Auctions with Budgets in Ad Exchanges: Approximations and Design," Management Science, INFORMS, vol. 61(4), pages 864-884, April.
    20. Chenxi Li & Xueming Luo & Cheng Zhang, 2017. "Sunny, Rainy, and Cloudy with a Chance of Mobile Promotion Effectiveness," Marketing Science, INFORMS, vol. 36(5), pages 762-779, September.
    21. Randall Lewis & Dan Nguyen, 2015. "Display advertising’s competitive spillovers to consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 13(2), pages 93-115, June.
    22. Peter Zubcsek & Miklos Sarvary, 2011. "Advertising to a social network," Quantitative Marketing and Economics (QME), Springer, vol. 9(1), pages 71-107, March.
    23. Peter J. Danaher & Janghyuk Lee & Laoucine Kerbache, 2010. "Optimal Internet Media Selection," Marketing Science, INFORMS, vol. 29(2), pages 336-347, 03-04.
    24. Amin Sayedi, 2018. "Real-Time Bidding in Online Display Advertising," Marketing Science, INFORMS, vol. 37(4), pages 553-568, August.
    25. Kireyev, Pavel & Pauwels, Koen & Gupta, Sunil, 2016. "Do display ads influence search? Attribution and dynamics in online advertising," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 475-490.
    26. Yannis Bakos & Erik Brynjolfsson, 1999. "Bundling Information Goods: Pricing, Profits, and Efficiency," Management Science, INFORMS, vol. 45(12), pages 1613-1630, December.
    27. Santiago R. Balseiro & Yonatan Gur, 2019. "Learning in Repeated Auctions with Budgets: Regret Minimization and Equilibrium," Management Science, INFORMS, vol. 65(9), pages 3952-3968, September.
    28. L. Elisa Celis & Gregory Lewis & Markus Mobius & Hamid Nazerzadeh, 2014. "Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions," Management Science, INFORMS, vol. 60(12), pages 2927-2948, December.
    29. Navdeep Sahni, 2015. "Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 203-247, September.
    30. Santiago R. Balseiro & Ozan Candogan, 2017. "Optimal Contracts for Intermediaries in Online Advertising," Operations Research, INFORMS, vol. 65(4), pages 878-896, August.
    31. Ying-Ju Chen, 2017. "Optimal Dynamic Auctions for Display Advertising," Operations Research, INFORMS, vol. 65(4), pages 897-913, August.
    32. 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.
    33. David S. Evans, 2009. "The Online Advertising Industry: Economics, Evolution, and Privacy," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 37-60, Summer.
    34. Ali Hojjat & John Turner & Suleyman Cetintas & Jian Yang, 2017. "A Unified Framework for the Scheduling of Guaranteed Targeted Display Advertising Under Reach and Frequency Requirements," Operations Research, INFORMS, vol. 65(2), pages 289-313, April.
    35. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    36. Sami Najafi-Asadolahi & Kristin Fridgeirsdottir, 2014. "Cost-per-Click Pricing for Display Advertising," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 482-497, October.
    37. Randall Lewis & David Reiley, 2014. "Online ads and offline sales: measuring the effect of retail advertising via a controlled experiment on Yahoo!," Quantitative Marketing and Economics (QME), Springer, vol. 12(3), pages 235-266, September.
    38. Robert Zeithammer, 2019. "Soft Floors in Auctions," Management Science, INFORMS, vol. 65(9), pages 4204-4221, September.
    39. Michael Braun & Wendy W. Moe, 2013. "Online Display Advertising: Modeling the Effects of Multiple Creatives and Individual Impression Histories," Marketing Science, INFORMS, vol. 32(5), pages 753-767, September.
    40. 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.
    41. Grewal, Dhruv & Bart, Yakov & Spann, Martin & Zubcsek, Peter Pal, 2016. "Mobile Advertising: A Framework and Research Agenda," Journal of Interactive Marketing, Elsevier, vol. 34(C), pages 3-14.
    42. Evans David S., 2008. "The Economics of the Online Advertising Industry," Review of Network Economics, De Gruyter, vol. 7(3), pages 1-33, September.
    43. Kumar, Subodha & Sethi, Suresh P., 2009. "Dynamic pricing and advertising for web content providers," European Journal of Operational Research, Elsevier, vol. 197(3), pages 924-944, September.
    44. Michael Trusov & Liye Ma & Zainab Jamal, 2016. "Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting," Marketing Science, INFORMS, vol. 35(3), pages 405-426, May.
    45. Nick Arnosti & Marissa Beck & Paul Milgrom, 2016. "Adverse Selection and Auction Design for Internet Display Advertising," American Economic Review, American Economic Association, vol. 106(10), pages 2852-2866, October.
    46. Navdeep Sahni, 2015. "Erratum to: Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 249-250, September.
    47. Gareth M. James & Courtney Paulson & Paat Rusmevichientong, 2020. "Penalized and Constrained Optimization: An Application to High-Dimensional Website Advertising," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 107-122, January.
    48. Alexander Bleier & Maik Eisenbeiss, 2015. "Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where," Marketing Science, INFORMS, vol. 34(5), pages 669-688, September.
    49. Krishnamurthy Iyer & Ramesh Johari & Mukund Sundararajan, 2014. "Mean Field Equilibria of Dynamic Auctions with Learning," Management Science, INFORMS, vol. 60(12), pages 2949-2970, December.
    50. Alexandre de Cornière & Romain de Nijs, 2016. "Online advertising and privacy," RAND Journal of Economics, RAND Corporation, vol. 47(1), pages 48-72, February.
    51. Kumar, Subodha & Jacob, Varghese S. & Sriskandarajah, Chelliah, 2006. "Scheduling advertisements on a web page to maximize revenue," European Journal of Operational Research, Elsevier, vol. 173(3), pages 1067-1089, September.
    52. Jonathan Levin & Paul Milgrom, 2010. "Online Advertising: Heterogeneity and Conflation in Market Design," American Economic Review, American Economic Association, vol. 100(2), pages 603-607, May.
    53. Susan Athey & Emilio Calvano & Joshua S. Gans, 2014. "The Impact of Consumer Multi-homing on Advertising Markets and Media Competition," CSEF Working Papers 379, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 27 Apr 2016.
    54. Gene Moo Lee & Shu He & Joowon Lee & Andrew B. Whinston, 2020. "Matching Mobile Applications for Cross-Promotion," Information Systems Research, INFORMS, vol. 31(3), pages 865-891, September.
    55. John Turner, 2012. "The Planning of Guaranteed Targeted Display Advertising," Operations Research, INFORMS, vol. 60(1), pages 18-33, February.
    56. David Maxwell Chickering & David Heckerman, 2003. "Targeted Advertising on the Web with Inventory Management," Interfaces, INFORMS, vol. 33(5), pages 71-77, October.
    57. Stourm, Valeria & Bax, Eric, 2017. "Incorporating hidden costs of annoying ads in display auctions," International Journal of Research in Marketing, Elsevier, vol. 34(3), pages 622-640.
    58. Foster Provost & David Martens & Alan Murray, 2015. "Finding Similar Mobile Consumers with a Privacy-Friendly Geosocial Design," Information Systems Research, INFORMS, vol. 26(2), pages 243-265, June.
    59. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    60. 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.
    61. Jean-Pierre Dubé & Zheng Fang & Nathan Fong & Xueming Luo, 2017. "Competitive Price Targeting with Smartphone Coupons," Marketing Science, INFORMS, vol. 36(6), pages 944-975, November.
    62. Peter J. Danaher, 2007. "Modeling Page Views Across Multiple Websites with an Application to Internet Reach and Frequency Prediction," Marketing Science, INFORMS, vol. 26(3), pages 422-437, 05-06.
    63. Roger B. Myerson, 1981. "Optimal Auction Design," Mathematics of Operations Research, INFORMS, vol. 6(1), pages 58-73, February.
    64. Zheng Fang & Bin Gu & Xueming Luo & Yunjie Xu, 2015. "Contemporaneous and Delayed Sales Impact of Location-Based Mobile Promotions," Information Systems Research, INFORMS, vol. 26(3), pages 552-564, September.
    65. Bowei Chen & Jun Wang, 2014. "A lattice framework for pricing display advertisement options with the stochastic volatility underlying model," Papers 1409.0697, arXiv.org, revised Dec 2015.
    66. Lizhen Xu & Jason A. Duan & Andrew Whinston, 2014. "Path to Purchase: A Mutually Exciting Point Process Model for Online Advertising and Conversion," Management Science, INFORMS, vol. 60(6), pages 1392-1412, June.
    67. Esther Gal-Or & Ronen Gal-Or & Nabita Penmetsa, 2018. "The Role of User Privacy Concerns in Shaping Competition Among Platforms," Information Systems Research, INFORMS, vol. 29(3), pages 698-722, September.
    68. Zhen Sun & Milind Dawande & Ganesh Janakiraman & Vijay Mookerjee, 2017. "Not Just a Fad: Optimal Sequencing in Mobile In-App Advertising," Information Systems Research, INFORMS, vol. 28(3), pages 511-528, September.
    69. Amin Sayedi & Kinshuk Jerath & Marjan Baghaie, 2018. "Exclusive Placement in Online Advertising," Marketing Science, INFORMS, vol. 37(6), pages 970-986, November.
    70. Dragos Florin Ciocan & Vivek Farias, 2012. "Model Predictive Control for Dynamic Resource Allocation," Mathematics of Operations Research, INFORMS, vol. 37(3), pages 501-525, August.
    71. Tucker, Catherine E., 2012. "The economics of advertising and privacy," International Journal of Industrial Organization, Elsevier, vol. 30(3), pages 326-329.
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