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The interaction of discount promotion and display-related promotion on on-demand platforms

Author

Listed:
  • Hongyan Dai

    (Central University of Finance and Economics)

  • Ling Ge

    (University of North Texas)

  • Chen Li

    (Beijing Jingdong Donghong Management Co., Ltd.)

  • Yan Wen

    (Central University of Finance and Economics)

Abstract

O2O (Online to Offline) on-demand service platforms have grown significantly. With the intensive competition on platforms, effective promotion strategies are the key to the success of O2O stores. Given the specific features of O2O platforms and mobile apps, how different promotions strategies work remain a question. The study investigates the effectiveness of different promotion strategies and their interactions on O2O platforms. Using daily sales data from a store on a well-known O2O platform, we construct a product-level panel with daily sales and promotion information. With fixed-effect regressions and GMM models, we find that both discount promotions including price discounts and order-level discounts and display-related promotions including display banners and rankings in lists can significantly increase product sales. We find that top rankings may be one of the most effective promotion strategies in O2O context. Seemingly organic rankings in lists is more effective than large store-page banners. We also find that direct price discounts perform better than order-level discounts for reaching a threshold. Price discounts and display-related strategies strongly complement each other to increase sales, while the impact of order-level discounts cannot be strengthened with display-related promotions. The findings reveal interesting patterns of how different promotion strategies affect sales and interact with each other and provide theoretical and practical implications.

Suggested Citation

  • Hongyan Dai & Ling Ge & Chen Li & Yan Wen, 2022. "The interaction of discount promotion and display-related promotion on on-demand platforms," Information Systems and e-Business Management, Springer, vol. 20(2), pages 285-302, June.
  • Handle: RePEc:spr:infsem:v:20:y:2022:i:2:d:10.1007_s10257-021-00514-7
    DOI: 10.1007/s10257-021-00514-7
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    References listed on IDEAS

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    1. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    2. Avi Goldfarb & Catherine E. Tucker, 2011. "Privacy Regulation and Online Advertising," Management Science, INFORMS, vol. 57(1), pages 57-71, January.
    3. Sridhar Narayanan & Kirthi Kalyanam, 2015. "Position Effects in Search Advertising and their Moderators: A Regression Discontinuity Approach," Marketing Science, INFORMS, vol. 34(3), pages 388-407, May.
    4. Flannery, Mark J. & Rangan, Kasturi P., 2006. "Partial adjustment toward target capital structures," Journal of Financial Economics, Elsevier, vol. 79(3), pages 469-506, March.
    5. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    6. Peter E. Rossi & Greg M. Allenby, 2003. "Bayesian Statistics and Marketing," Marketing Science, INFORMS, vol. 22(3), pages 304-328, July.
    7. Jiahua Wu & Mengze Shi & Ming Hu, 2015. "Threshold Effects in Online Group Buying," Management Science, INFORMS, vol. 61(9), pages 2025-2040, September.
    8. Laroche, Michel & Pons, Frank & Zgolli, Nadia & Cervellon, Marie-Cecile & Kim, Chankon, 2003. "A model of consumer response to two retail sales promotion techniques," Journal of Business Research, Elsevier, vol. 56(7), pages 513-522, July.
    9. Shuk Ying Ho & David Bodoff & Kar Yan Tam, 2011. "Timing of Adaptive Web Personalization and Its Effects on Online Consumer Behavior," Information Systems Research, INFORMS, vol. 22(3), pages 660-679, September.
    10. 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.
    11. 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.
    12. Michael Lewis & Vishal Singh & Scott Fay, 2006. "An Empirical Study of the Impact of Nonlinear Shipping and Handling Fees on Purchase Incidence and Expenditure Decisions," Marketing Science, INFORMS, vol. 25(1), pages 51-64, 01-02.
    13. Anindya Ghose & Sha Yang, 2009. "An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets," Management Science, INFORMS, vol. 55(10), pages 1605-1622, October.
    14. Animesh Animesh & Siva Viswanathan & Ritu Agarwal, 2011. "Competing “Creatively” in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance," Information Systems Research, INFORMS, vol. 22(1), pages 153-169, March.
    15. Dennis J. Zhang & Hengchen Dai & Lingxiu Dong & Fangfang Qi & Nannan Zhang & Xiaofei Liu & Zhongyi Liu & Jiang Yang, 2018. "How Do Price Promotions Affect Customer Behavior on Retailing Platforms? Evidence from a Large Randomized Experiment on Alibaba," Production and Operations Management, Production and Operations Management Society, vol. 27(12), pages 2343-2345, December.
    16. Sha Yang & Anindya Ghose, 2010. "Analyzing the Relationship Between Organic and Sponsored Search Advertising: Positive, Negative, or Zero Interdependence?," Marketing Science, INFORMS, vol. 29(4), pages 602-623, 07-08.
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