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Dynamic interplays between online reviews and marketing promotions

Author

Listed:
  • Yufei Zhang

    (University of Alabama-Birmingham)

  • Clay M. Voorhees

    (University of Alabama)

  • G. Tomas M. Hult

    (Michigan State University)

Abstract

Customer reviews, price discounts, and free shipping are powerful drivers of online purchases. Prior research demonstrates their direct effects on consumer behavior, usually with the assumption that they operate independently. By examining the interplays of online reviews and marketing promotions, this study offers a richer, more comprehensive perspective on how these drivers work together to shape consumers’ preferences and influence product sales. The authors examine these effects using both an online experiment (Study 1) and an analysis of a secondary data set (Study 2). Results demonstrate that when developing promotional schedules for e-commerce sites, managers must account for both the volume and valence of their products’ reviews; failing to address these dynamics may lead to reduced profit margins. A key insight is the limited performance of price discounts when a critical number of reviews accumulates, resulting in margin erosion without demand creation. The implications of these results are discussed.

Suggested Citation

  • Yufei Zhang & Clay M. Voorhees & G. Tomas M. Hult, 2024. "Dynamic interplays between online reviews and marketing promotions," Journal of the Academy of Marketing Science, Springer, vol. 52(6), pages 1820-1841, November.
  • Handle: RePEc:spr:joamsc:v:52:y:2024:i:6:d:10.1007_s11747-024-01025-w
    DOI: 10.1007/s11747-024-01025-w
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    1. Dhar, Vasant & Chang, Elaine A., 2009. "Does Chatter Matter? The Impact of User-Generated Content on Music Sales," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 300-307.
    2. Xianghua Lu & Sulin Ba & Lihua Huang & Yue Feng, 2013. "Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews," Information Systems Research, INFORMS, vol. 24(3), pages 596-612, September.
    3. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    4. Elham Yazdani & Shyam Gopinath & Steve Carson, 2018. "Preaching to the Choir: The Chasm Between Top-Ranked Reviewers, Mainstream Customers, and Product Sales," Marketing Science, INFORMS, vol. 37(5), pages 838-851, September.
    5. Yang, Jun & Mai, Enping (Shirley), 2010. "Experiential goods with network externalities effects: An empirical study of online rating system," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1050-1057, September.
    6. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    7. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    8. Yang Liu & Juan Feng & Xiuwu Liao, 2017. "When Online Reviews Meet Sales Volume Information: Is More or Accurate Information Always Better?," Information Systems Research, INFORMS, vol. 28(4), pages 723-743, December.
    9. Xinxin Li & Lorin M. Hitt, 2008. "Self-Selection and Information Role of Online Product Reviews," Information Systems Research, INFORMS, vol. 19(4), pages 456-474, December.
    10. Angela Aerry Choi & Daegon Cho & Dobin Yim & Jae Yun Moon & Wonseok Oh, 2019. "When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases," Information Systems Research, INFORMS, vol. 30(4), pages 1164-1183, December.
    11. V. Kumar & JeeWon Brianna Choi & Mallik Greene, 2017. "Synergistic effects of social media and traditional marketing on brand sales: capturing the time-varying effects," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 268-288, March.
    12. Junha Kim & Selin A Malkoc & Joseph K Goodman, 2022. "The Threshold-Crossing Effect: Just-Below Pricing Discourages Consumers to Upgrade [The Influence of Prior Beliefs, Frequency Cues, and Magnitude Cues on Consumers' Perceptions of Comparative Price," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 48(6), pages 1096-1112.
    13. Zhang, Jason Q. & Craciun, Georgiana & Shin, Dongwoo, 2010. "When does electronic word-of-mouth matter? A study of consumer product reviews," Journal of Business Research, Elsevier, vol. 63(12), pages 1336-1341, December.
    14. Songqing Jin & T. S. Jayne, 2013. "Land Rental Markets in Kenya: Implications for Efficiency, Equity, Household Income, and Poverty," Land Economics, University of Wisconsin Press, vol. 89(2), pages 246-271.
    15. Brett Hollenbeck & Sridhar Moorthy & Davide Proserpio, 2019. "Advertising Strategy in the Presence of Reviews: An Empirical Analysis," Marketing Science, INFORMS, vol. 38(5), pages 793-811, September.
    16. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    17. Peter E. Rossi, 2014. "Invited Paper —Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications," Marketing Science, INFORMS, vol. 33(5), pages 655-672, September.
    18. Minnema, Alec & Bijmolt, Tammo H.A. & Gensler, Sonja & Wiesel, Thorsten, 2016. "To Keep or Not to Keep: Effects of Online Customer Reviews on Product Returns," Journal of Retailing, Elsevier, vol. 92(3), pages 253-267.
    19. Marchand, André & Hennig-Thurau, Thorsten & Wiertz, Caroline, 2017. "Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 336-354.
    20. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    21. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    22. Kostyra, Daniel S. & Reiner, Jochen & Natter, Martin & Klapper, Daniel, 2016. "Decomposing the effects of online customer reviews on brand, price, and product attributes," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 11-26.
    23. Alison Jing Xu & Robert S. Wyer Jr., 2007. "The Effect of Mind-Sets on Consumer Decision Strategies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 556-566, June.
    24. Labrecque, Lauren I. & vor dem Esche, Jonas & Mathwick, Charla & Novak, Thomas P. & Hofacker, Charles F., 2013. "Consumer Power: Evolution in the Digital Age," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 257-269.
    25. Shyam Gopinath & Jacquelyn S. Thomas & Lakshman Krishnamurthi, 2014. "Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance," Marketing Science, INFORMS, vol. 33(2), pages 241-258, March.
    26. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
    27. Scott Motyka & Dhruv Grewal & Elizabeth Aguirre & Dominik Mahr & Ko Ruyter & Martin Wetzels, 2018. "The emotional review–reward effect: how do reviews increase impulsivity?," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1032-1051, November.
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