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Platform Service Offering to Business Customers: Strategic Considerations in Engendering Seller Use of Marketing Tools

Author

Listed:
  • Botao Yang

    (California State University at Long Beach, Long Beach, California 90840)

  • Sha Yang

    (University of Southern California, Los Angeles, California 90089)

  • Shantanu Dutta

    (University of Southern California, Los Angeles, California 90089)

Abstract

Many e-commerce platforms provide marketing tools to help their sellers attract customers and enhance user experience. However, there is virtually no theoretical framework or systematic evidence that provides insights to platforms on how their business customers use these marketing tools. In this paper, we develop a theoretical framework and apply it to an empirical setting to understand how business customers choose between two service offerings (paid search and hot shop) provided by an e-commerce platform. A unique aspect of our modeling framework is that we incorporate two types of heterogeneous strategic considerations in sellers’ choice decisions of marketing tools: competitor and consumer reactions. To capture seller consideration of competition, we adapt the cognitive hierarchy framework by modeling sellers’ differing abilities to predict how competition affects their decisions. To capture seller consideration of consumer response, we first specify a sales-response model in which sales are affected by the marketing tools used and then incorporate the response parameters in sellers’ payoff functions. Our empirical analysis indicates that these two types of strategic considerations are both important. Our estimation results show that, in making decisions on which marketing tool(s) to use, sellers tend to differentiate themselves from the competition. We also find that sellers with a higher rating tend to be more strategic. This finding provides a useful metric associated with firms’ strategic ability, which is often difficult to quantify, and helps researchers to test theoretical predictions related to firms’ strategic thinking using field data. We perform two comparative statics exercises to derive managerial insights. The first exercise offers a benchmark analysis to help platforms evaluate which targeted promotion strategies are most effective. The second exercise indicates that an increase in seller strategic ability would reduce the overall seller usage of marketing tools, and we offer specific suggestions to help platform managers increase the use of their marketing tools.

Suggested Citation

  • Botao Yang & Sha Yang & Shantanu Dutta, 2022. "Platform Service Offering to Business Customers: Strategic Considerations in Engendering Seller Use of Marketing Tools," Marketing Science, INFORMS, vol. 41(2), pages 361-379, March.
  • Handle: RePEc:inm:ormksc:v:41:y:2022:i:2:p:361-379
    DOI: 10.1287/mksc.2021.1325
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    References listed on IDEAS

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    1. Stahl, Dale II & Wilson, Paul W., 1994. "Experimental evidence on players' models of other players," Journal of Economic Behavior & Organization, Elsevier, vol. 25(3), pages 309-327, December.
    2. Sumon Datta & K. Sudhir, 2013. "Does reducing spatial differentiation increase product differentiation? Effects of zoning on retail entry and format variety," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 83-116, March.
    3. Junhong Chu & Puneet Manchanda, 2016. "Quantifying Cross and Direct Network Effects in Online Consumer-to-Consumer Platforms," Marketing Science, INFORMS, vol. 35(6), pages 870-893, November.
    4. Federico Ciliberto & Elie Tamer, 2009. "Market Structure and Multiple Equilibria in Airline Markets," Econometrica, Econometric Society, vol. 77(6), pages 1791-1828, November.
    5. Sha Yang & Shijie Lu & Xianghua Lu, 2014. "Modeling Competition and Its Impact on Paid-Search Advertising," Marketing Science, INFORMS, vol. 33(1), pages 134-153, January.
    6. Vincent P. Crawford & Miguel A. Costa-Gomes, 2006. "Cognition and Behavior in Two-Person Guessing Games: An Experimental Study," American Economic Review, American Economic Association, vol. 96(5), pages 1737-1768, December.
    7. Hong Yuan & Miguel I. Gómez & Vithala R. Rao, 2013. "Trade Promotion Decisions Under Demand Uncertainty: A Market Experiment Approach," Management Science, INFORMS, vol. 59(7), pages 1709-1724, July.
    8. Sumon Datta & K. Sudhir, 2013. "Does reducing spatial differentiation increase product differentiation? Effects of zoning on retail entry and format variety," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 83-116, March.
    9. Berry, Steven T, 1992. "Estimation of a Model of Entry in the Airline Industry," Econometrica, Econometric Society, vol. 60(4), pages 889-917, July.
    10. Colin F. Camerer & Teck-Hua Ho & Juin-Kuan Chong, 2004. "A Cognitive Hierarchy Model of Games," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 861-898.
    11. A. Ye(scedilla)im Orhun, 2009. "Optimal Product Line Design When Consumers Exhibit Choice Set-Dependent Preferences," Marketing Science, INFORMS, vol. 28(5), pages 868-886, 09-10.
    12. Yuxin Chen & Tony Haitao Cui, 2013. "The Benefit of Uniform Price for Branded Variants," Marketing Science, INFORMS, vol. 32(1), pages 36-50, March.
    13. Paul B. Ellickson & Sanjog Misra, 2008. "Supermarket Pricing Strategies," Marketing Science, INFORMS, vol. 27(5), pages 811-828, 09-10.
    14. Avi Goldfarb & Mo Xiao, 2011. "Who Thinks about the Competition? Managerial Ability and Strategic Entry in US Local Telephone Markets," American Economic Review, American Economic Association, vol. 101(7), pages 3130-3161, December.
    15. Tat Y. Chan & Young-Hoon Park, 2015. "Consumer Search Activities and the Value of Ad Positions in Sponsored Search Advertising," Marketing Science, INFORMS, vol. 34(4), pages 606-623, July.
    16. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2016. "Managing User-Generated Content: A Dynamic Rational Expectations Equilibrium Approach," Marketing Science, INFORMS, vol. 35(2), pages 284-303, March.
    17. Tony Haitao Cui & Jagmohan S. Raju & Z. John Zhang, 2007. "Fairness and Channel Coordination," Management Science, INFORMS, vol. 53(8), pages 1303-1314, August.
    18. Katja Seim, 2006. "An empirical model of firm entry with endogenous product‐type choices," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 619-640, September.
    19. Sachin Adlakha & Ramesh Johari, 2013. "Mean Field Equilibrium in Dynamic Games with Strategic Complementarities," Operations Research, INFORMS, vol. 61(4), pages 971-989, August.
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