IDEAS home Printed from https://ideas.repec.org/a/spr/infsem/v20y2022i2d10.1007_s10257-021-00514-7.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10257-021-00514-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10257-021-00514-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Avi Goldfarb & Catherine E. Tucker, 2011. "Privacy Regulation and Online Advertising," Management Science, INFORMS, vol. 57(1), pages 57-71, January.
    5. 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.
    6. 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.
    7. 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.
    8. Peter E. Rossi & Greg M. Allenby, 2003. "Bayesian Statistics and Marketing," Marketing Science, INFORMS, vol. 22(3), pages 304-328, July.
    9. 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.
    10. Jiahua Wu & Mengze Shi & Ming Hu, 2015. "Threshold Effects in Online Group Buying," Management Science, INFORMS, vol. 61(9), pages 2025-2040, September.
    11. 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.
    12. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Feng Wang & Li Zuo & Zhi Yang & Yueyan Wu, 2019. "Mobile searching versus online searching: differential effects of paid search keywords on direct and indirect sales," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1151-1165, November.
    3. 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.
    4. Cai, Ya-Jun & Lo, Chris K.Y., 2020. "Omni-channel management in the new retailing era: A systematic review and future research agenda," International Journal of Production Economics, Elsevier, vol. 229(C).
    5. 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.
    6. Mengzhou Zhuang & Eric (Er) Fang & Jongkuk Lee & Xiaoling Li, 2021. "The Effects of Price Rank on Clicks and Conversions in Product List Advertising on Online Retail Platforms," Information Systems Research, INFORMS, vol. 32(4), pages 1412-1430, December.
    7. Przemys?aw Jeziorski & Sridhar Moorthy, 2018. "Advertiser Prominence Effects in Search Advertising," Management Science, INFORMS, vol. 64(3), pages 1365-1383, March.
    8. Ali Aouad & Danny Segev, 2021. "Display Optimization for Vertically Differentiated Locations Under Multinomial Logit Preferences," Management Science, INFORMS, vol. 67(6), pages 3519-3550, June.
    9. 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.
    10. 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.
    11. Darius Schlangenotto & Martin Poniatowski & Dennis Kundisch, 2018. "What Drives Paid Search Success: A Systematic Literature Review," Working Papers Dissertations 31, Paderborn University, Faculty of Business Administration and Economics.
    12. Ziliang Deng & Peter W Liesch & Zeyu Wang, 2021. "Deceptive signaling on globalized digital platforms: Institutional hypnosis and firm internationalization," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(6), pages 1096-1120, August.
    13. Park, Chang Hee & Agarwal, Manoj K., 2018. "The order effect of advertisers on consumer search behavior in sponsored search markets," Journal of Business Research, Elsevier, vol. 84(C), pages 24-33.
    14. 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.
    15. Klapdor, Sebastian & Anderl, Eva M. & von Wangenheim, Florian & Schumann, Jan H., 2014. "Finding the Right Words: The Influence of Keyword Characteristics on Performance of Paid Search Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 285-301.
    16. Xiaomeng Du & Meng Su & Xiaoquan (Michael) Zhang & Xiaona Zheng, 2017. "Bidding for Multiple Keywords in Sponsored Search Advertising: Keyword Categories and Match Types," Information Systems Research, INFORMS, vol. 28(4), pages 711-722, December.
    17. 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.
    18. Shijie Lu & Sha Yang, 2017. "Investigating the Spillover Effect of Keyword Market Entry in Sponsored Search Advertising," Marketing Science, INFORMS, vol. 36(6), pages 976-998, November.
    19. Carsten D. Schultz, 2020. "The impact of ad positioning in search engine advertising: a multifaceted decision problem," Electronic Commerce Research, Springer, vol. 20(4), pages 945-968, December.
    20. Antonia Köster & Christian Matt & Thomas Hess, 2021. "Do All Roads Lead to Rome? Exploring the Relationship Between Social Referrals, Referral Propensity and Stickiness to Video-on-Demand Websites," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 349-366, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infsem:v:20:y:2022:i:2:d:10.1007_s10257-021-00514-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.