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Consumer search: What can we learn from pre-purchase data?

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  • Honka, Elisabeth
  • Seiler, Stephan
  • Ursu, Raluca

Abstract

Researchers are increasingly able to observe consumers’ behavior prior to a purchase, such as their navigation through a store or website and the products they consider. Such pre-purchase (or search) data can be valuable to researchers in a variety of ways: as an additional source of information to estimate consumer preferences, to understand how firms can influence the search process through marketing mix variables, and to analyze how limited information about products affects equilibrium market outcomes. We provide an overview of these three research areas with a particular emphasis on online and offline retailing.

Suggested Citation

  • Honka, Elisabeth & Seiler, Stephan & Ursu, Raluca, 2024. "Consumer search: What can we learn from pre-purchase data?," Journal of Retailing, Elsevier, vol. 100(1), pages 114-129.
    • Handle: RePEc:eee:jouret:v:100:y:2024:i:1:p:114-129
    DOI: 10.1016/j.jretai.2024.02.003
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    1. Dina Mayzlin & Jiwoong Shin, 2011. "Uninformative Advertising as an Invitation to Search," Marketing Science, INFORMS, vol. 30(4), pages 666-685, July.
    2. Yuxin Chen & Song Yao, 2017. "Sequential Search with Refinement: Model and Application with Click-Stream Data," Management Science, INFORMS, vol. 63(12), pages 4345-4365, December.
    3. Dan Yavorsky & Elisabeth Honka & Keith Chen, 2021. "Consumer search in the U.S. auto industry: The role of dealership visits," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 1-52, March.
    4. Michael Choi & Anovia Yifan Dai & Kyungmin Kim, 2018. "Consumer Search and Price Competition," Econometrica, Econometric Society, vol. 86(4), pages 1257-1281, July.
    5. Stephan Seiler & Song Yao, 2017. "The impact of advertising along the conversion funnel," Quantitative Marketing and Economics (QME), Springer, vol. 15(3), pages 241-278, September.
    6. Steven Salop & Joseph Stiglitz, 1977. "Bargains and Ripoffs: A Model of Monopolistically Competitive Price Dispersion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 493-510.
    7. Stahl, Dale O., 1996. "Oligopolistic pricing with heterogeneous consumer search," International Journal of Industrial Organization, Elsevier, vol. 14(2), pages 243-268.
    8. Haan, Marco A. & Moraga-González, José L. & Petrikaitė, Vaiva, 2018. "A model of directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 223-255.
    9. Ali Hortaçsu & Chad Syverson, 2004. "Product Differentiation, Search Costs, and Competition in the Mutual Fund Industry: A Case Study of S&P 500 Index Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 403-456.
    10. Ilya Morozov & Stephan Seiler & Xiaojing Dong & Liwen Hou, 2021. "Estimation of Preference Heterogeneity in Markets with Costly Search," Marketing Science, INFORMS, vol. 40(5), pages 871-899, September.
    11. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    12. Raluca M. Ursu, 2018. "The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions," Marketing Science, INFORMS, vol. 37(4), pages 530-552, August.
    13. Sergei Koulayev, 2014. "Search for differentiated products: identification and estimation," RAND Journal of Economics, RAND Corporation, vol. 45(3), pages 553-575, September.
    14. José Luis Moraga-González & Zsolt Sándor & Matthijs R Wildenbeest, 2023. "Consumer Search and Prices in the Automobile Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(3), pages 1394-1440.
    15. Matthijs R. Wildenbeest, 2011. "An empirical model of search with vertically differentiated products," RAND Journal of Economics, RAND Corporation, vol. 42(4), pages 729-757, December.
    16. Simon P. Anderson & Régis Renault, 2006. "Advertising Content," American Economic Review, American Economic Association, vol. 96(1), pages 93-113, March.
    17. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    18. Raluca M. Ursu & Daria Dzyabura, 2020. "Retailers’ product location problem with consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 18(2), pages 125-154, June.
    19. Jun B. Kim & Paulo Albuquerque & Bart J. Bronnenberg, 2010. "Online Demand Under Limited Consumer Search," Marketing Science, INFORMS, vol. 29(6), pages 1001-1023, 11-12.
    20. Babur De los Santos & Sergei Koulayev, 2017. "Optimizing Click-Through in Online Rankings with Endogenous Search Refinement," Marketing Science, INFORMS, vol. 36(4), pages 542-564, July.
    21. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.
    22. Daniel W. Elfenbein & Raymond Fisman & Brian McManus, 2015. "Market Structure, Reputation, and the Value of Quality Certification," American Economic Journal: Microeconomics, American Economic Association, vol. 7(4), pages 83-108, November.
    23. Daniel M. Ringel & Bernd Skiera, 2016. "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data," Marketing Science, INFORMS, vol. 35(3), pages 511-534, May.
    24. Chiara Farronato & Andrey Fradkin & Alexander MacKay, 2023. "Self-Preferencing at Amazon: Evidence from Search Rankings," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 239-243, May.
    25. Jia Liu & Olivier Toubia & Shawndra Hill, 2021. "Content-Based Model of Web Search Behavior: An Application to TV Show Search," Management Science, INFORMS, vol. 67(10), pages 6378-6398, October.
    26. Rafael P. Greminger, 2022. "Heterogeneous Position Effects and the Power of Rankings," Papers 2210.16408, arXiv.org, revised Dec 2023.
    27. Xiang Hui & Maryam Saeedi & Zeqian Shen & Neel Sundaresan, 2016. "Reputation and Regulations: Evidence from eBay," Management Science, INFORMS, vol. 62(12), pages 3604-3616, December.
    28. Günter J. Hitsch & Ali Hortaçsu & Xiliang Lin, 2021. "Prices and promotions in U.S. retail markets," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 289-368, December.
    29. Jeffrey R. Brown & Austan Goolsbee, 2002. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 481-507, June.
    30. Chris Gu & Yike Wang, 2022. "Consumer Online Search with Partially Revealed Information," Management Science, INFORMS, vol. 68(6), pages 4215-4235, June.
    31. Simon P. Anderson & Régis Renault, 2013. "The Advertising Mix for a Search Good," Management Science, INFORMS, vol. 59(1), pages 69-83, April.
    32. Nathan M. Fong, 2017. "How Targeting Affects Customer Search: A Field Experiment," Management Science, INFORMS, vol. 63(7), pages 2353-2364, July.
    33. Sam K. Hui & Peter S. Fader & Eric T. Bradlow, 2009. "—The Traveling Salesman Goes Shopping: The Systematic Deviations of Grocery Paths from TSP Optimality," Marketing Science, INFORMS, vol. 28(3), pages 566-572, 05-06.
    34. Reinganum, Jennifer F, 1979. "A Simple Model of Equilibrium Price Dispersion," Journal of Political Economy, University of Chicago Press, vol. 87(4), pages 851-858, August.
    35. repec:dau:papers:123456789/12407 is not listed on IDEAS
    36. Jiwoong Shin & Jungju Yu, 2021. "Targeted Advertising and Consumer Inference," Marketing Science, INFORMS, vol. 40(5), pages 900-922, September.
    37. Yi-Lin Tsai & Elisabeth Honka, 2021. "Informational and Noninformational Advertising Content," Marketing Science, INFORMS, vol. 40(6), pages 1030-1058, November.
    38. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2014. "Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue," Management Science, INFORMS, vol. 60(7), pages 1632-1654, July.
    39. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    40. Bradley T. Shapiro, 2018. "Positive Spillovers and Free Riding in Advertising of Prescription Pharmaceuticals: The Case of Antidepressants," Journal of Political Economy, University of Chicago Press, vol. 126(1), pages 381-437.
    41. Raluca Ursu & Stephan Seiler & Elisabeth Honka, 2023. "The Sequential Search Model: A Framework for Empirical Research," CESifo Working Paper Series 10264, CESifo.
    42. Zhenling Jiang & Tat Chan & Hai Che & Youwei Wang, 2021. "Consumer Search and Purchase: An Empirical Investigation of Retargeting Based on Consumer Online Behaviors," Marketing Science, INFORMS, vol. 40(2), pages 219-240, March.
    43. Bart J. Bronnenberg & Jun B. Kim & Carl F. Mela, 2016. "Zooming In on Choice: How Do Consumers Search for Cameras Online?," Marketing Science, INFORMS, vol. 35(5), pages 693-712, September.
    44. Aditya Jain & Sanjog Misra & Nils Rudi, 2020. "The Effect of Sales Assistance on Purchase Decisions: An analysis using retail video data," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 273-303, September.
    45. Diamond, Peter A., 1971. "A model of price adjustment," Journal of Economic Theory, Elsevier, vol. 3(2), pages 156-168, June.
    46. Elisabeth Honka, 2014. "Quantifying search and switching costs in the US auto insurance industry," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 847-884, December.
    47. Dennis H. Gensch, 1987. "A Two-Stage Disaggregate Attribute Choice Model," Marketing Science, INFORMS, vol. 6(3), pages 223-239.
    48. Stephan Seiler & Fabio Pinna, 2017. "Estimating Search Benefits from Path-Tracking Data: Measurement and Determinants," Marketing Science, INFORMS, vol. 36(4), pages 565-589, July.
    49. Hauser, John R & Wernerfelt, Birger, 1990. "An Evaluation Cost Model of Consideration Sets," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 393-408, March.
    50. Chen Liang & Zhan (Michael) Shi & T. S. Raghu, 2019. "The Spillover of Spotlight: Platform Recommendation in the Mobile App Market," Information Systems Research, INFORMS, vol. 30(4), pages 1296-1318, December.
    51. Jia Liu & Olivier Toubia, 2018. "A Semantic Approach for Estimating Consumer Content Preferences from Online Search Queries," Marketing Science, INFORMS, vol. 37(6), pages 930-952, November.
    52. Ding, Yucheng & Zhang, Tianle, 2018. "Price-directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 106-135.
    53. Han Hong & Matthew Shum, 2006. "Using price distributions to estimate search costs," RAND Journal of Economics, RAND Corporation, vol. 37(2), pages 257-275, June.
    54. Elisabeth Honka & Ali Hortaçsu & Maria Ana Vitorino, 2017. "Advertising, consumer awareness, and choice: evidence from the U.S. banking industry," RAND Journal of Economics, RAND Corporation, vol. 48(3), pages 611-646, August.
    55. MacMinn, Richard D, 1980. "Search and Market Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 88(2), pages 308-327, April.
    56. Alan T. Sorensen, 2000. "Equilibrium Price Dispersion in Retail Markets for Prescription Drugs," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 833-862, August.
    57. Raluca M. Ursu & Qianyun Zhang & Elisabeth Honka, 2023. "Search Gaps and Consumer Fatigue," Marketing Science, INFORMS, vol. 42(1), pages 110-136, January.
    58. 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.
    59. Jia Liu & Olivier Toubia, 2020. "Search query formation by strategic consumers," Quantitative Marketing and Economics (QME), Springer, vol. 18(2), pages 155-194, June.
    60. Robert, Jacques & Stahl, Dale O, II, 1993. "Informative Price Advertising in a Sequential Search Model," Econometrica, Econometric Society, vol. 61(3), pages 657-686, May.
    61. Stahl, Dale O, II, 1989. "Oligopolistic Pricing with Sequential Consumer Search," American Economic Review, American Economic Association, vol. 79(4), pages 700-712, September.
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    More about this item

    Keywords

    Consumer Search; Limited Information; Consideration Sets; Retailing;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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