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When and How to Leverage E-commerce Cart Targeting: The Relative and Moderated Effects of Scarcity and Price Incentives with a Two-Stage Field Experiment and Causal Forest Optimization

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  • Xueming Luo

    (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

  • Xianghua Lu

    (School of Management, Fudan University, 200433 Shanghai, China)

  • Jing Li

    (School of Business, Nanjing University, Nanjing, 210093 Jiangsu, China)

Abstract

The rise of online shopping cart–tracking technologies enables new opportunities for e-commerce cart targeting (ECT). However, practitioners might target shoppers who have short-listed products in their digital carts without fully considering how ECT designs interact with consumer mindsets in online shopping stages. This paper develops a conceptual model of ECT that addresses the question of when (with versus without carts) and how to target (scarcity versus price promotion). Our ECT model is grounded in the consumer goal stage theory of deliberative or implemental mindsets and supported by a two-stage field experiment involving more than 22,000 mobile users. The results indicate that ECT has a substantial impact on consumer purchases, inducing a 29.9% higher purchase rate than e-commerce targeting without carts. Moreover, this incremental impact is moderated: the ECT design with a price incentive amplifies the impact, but the same price incentive leads to ineffective e-commerce targeting without carts. By contrast, a scarcity message attenuates the impact but significantly boosts purchase responses to targeting without carts. Interestingly, the costless scarcity nudge is approximately 2.3 times more effective than the costly price incentive in the early shopping stage without carts, whereas a price incentive is 11.4 times more effective than the scarcity message in the late stage with carts. We also leverage a causal forest algorithm that can learn purchase response heterogeneity to develop a practical scheme of optimizing ECT. Our model and findings empower managers to prudently target consumer shopping interests embedded in digital carts to capitalize on new opportunities in e-commerce.

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  • Xueming Luo & Xianghua Lu & Jing Li, 2019. "When and How to Leverage E-commerce Cart Targeting: The Relative and Moderated Effects of Scarcity and Price Incentives with a Two-Stage Field Experiment and Causal Forest Optimization," Information Systems Research, INFORMS, vol. 30(4), pages 1203-1227, December.
  • Handle: RePEc:inm:orisre:v:30:y:2019:i:4:p:1203-1227
    DOI: 10.1287/isre.2019.0859
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    as
    1. Lizhen Xu & Jianqing Chen & Andrew Whinston, 2012. "Effects of the Presence of Organic Listing in Search Advertising," Information Systems Research, INFORMS, vol. 23(4), pages 1284-1302, December.
    2. Leonard Lee & Dan Ariely, 2006. "Shopping Goals, Goal Concreteness, and Conditional Promotions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(1), pages 60-70, June.
    3. Kamel Jedidi & Carl F. Mela & Sunil Gupta, 1999. "Managing Advertising and Promotion for Long-Run Profitability," Marketing Science, INFORMS, vol. 18(1), pages 1-22.
    4. Robert C. Blattberg & Richard Briesch & Edward J. Fox, 1995. "How Promotions Work," Marketing Science, INFORMS, vol. 14(3_supplem), pages 122-132.
    5. Rebecca Walker Reczek & Kelly L. Haws & Christopher A. Summers, 2014. "Lucky Loyalty: The Effect of Consumer Effort on Predictions of Randomly Determined Marketing Outcomes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(4), pages 1065-1077.
    6. 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.
    7. Kar Yan Tam & Shuk Ying Ho, 2005. "Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective," Information Systems Research, INFORMS, vol. 16(3), pages 271-291, September.
    8. Mandel, Naomi & Johnson, Eric J, 2002. "When Web Pages Influence Choice: Effects of Visual Primes on Experts and Novices," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(2), pages 235-245, September.
    9. Gilles Laurent & Pierre Chandon & Brian Wansink, 2000. "A Benefit Congruency Framework of Sales Promotion Effectiveness," Post-Print hal-00458440, HAL.
    10. Axel Stock & Subramanian Balachander, 2005. "The Making of a "Hot Product": A Signaling Explanation of Marketers' Scarcity Strategy," Management Science, INFORMS, vol. 51(8), pages 1181-1192, August.
    11. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    12. Alba, Joseph W, et al, 1999. "The Effect of Discount Frequency and Depth on Consumer Price Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(2), pages 99-114, September.
    13. Navdeep S. Sahni, 2015. "Erratum to: Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 249-250, September.
    14. Zike Cao & Kai-Lung Hui & Hong Xu, 2018. "When Discounts Hurt Sales: The Case of Daily-Deal Markets," Information Systems Research, INFORMS, vol. 29(3), pages 567-591, September.
    15. Chenxi Li & Xueming Luo & Cheng Zhang, 2017. "Sunny, Rainy, and Cloudy with a Chance of Mobile Promotion Effectiveness," Marketing Science, INFORMS, vol. 36(5), pages 762-779, September.
    16. 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.
    17. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    18. 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.
    19. Mani Subramani & Eric Walden, 2001. "The Impact of E-Commerce Announcements on the Market Value of Firms," Information Systems Research, INFORMS, vol. 12(2), pages 135-154, June.
    20. Patrali Chatterjee & Donna L. Hoffman & Thomas P. Novak, 2003. "Modeling the Clickstream: Implications for Web-Based Advertising Efforts," Marketing Science, INFORMS, vol. 22(4), pages 520-541, May.
    21. Haans, Hans, 2011. "Evaluating retail format extensions: The role of shopping goals," Journal of Retailing and Consumer Services, Elsevier, vol. 18(5), pages 389-396.
    22. Bridges, Eileen & Florsheim, Renée, 2008. "Hedonic and utilitarian shopping goals: The online experience," Journal of Business Research, Elsevier, vol. 61(4), pages 309-314, April.
    23. Rebecca Walker Reczek & Kelly L. Haws & Christopher A. Summers, 2014. "Lucky Loyalty: The Effect of Consumer Effort on Predictions of Randomly Determined Marketing Outcomes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(4), pages 1065-1077.
    24. Navdeep Sahni, 2015. "Erratum to: Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 249-250, September.
    25. D. Veena Parboteeah & Joseph S. Valacich & John D. Wells, 2009. "The Influence of Website Characteristics on a Consumer's Urge to Buy Impulsively," Information Systems Research, INFORMS, vol. 20(1), pages 60-78, March.
    26. Jaeki Song & Fatemeh Mariam Zahedi, 2005. "A Theoretical Approach to Web Design in E-Commerce: A Belief Reinforcement Model," Management Science, INFORMS, vol. 51(8), pages 1219-1235, August.
    27. Folkes, Valerie S & Martin, Ingrid M & Gupta, Kamal, 1993. "When to Say When: Effects of Supply on Usage," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 467-477, December.
    28. Song Yao & Carl F. Mela, 2011. "A Dynamic Model of Sponsored Search Advertising," Marketing Science, INFORMS, vol. 30(3), pages 447-468, 05-06.
    29. Jean-Pierre Dubé & Zheng Fang & Nathan Fong & Xueming Luo, 2017. "Competitive Price Targeting with Smartphone Coupons," Marketing Science, INFORMS, vol. 36(6), pages 944-975, November.
    30. Zheng Fang & Bin Gu & Xueming Luo & Yunjie Xu, 2015. "Contemporaneous and Delayed Sales Impact of Location-Based Mobile Promotions," Information Systems Research, INFORMS, vol. 26(3), pages 552-564, September.
    31. Rajiv Lal & Ram Rao, 1997. "Supermarket Competition: The Case of Every Day Low Pricing," Marketing Science, INFORMS, vol. 16(1), pages 60-80.
    32. Subramanian Balachander & Yan Liu & Axel Stock, 2009. "An Empirical Analysis of Scarcity Strategies in the Automobile Industry," Management Science, INFORMS, vol. 55(10), pages 1623-1637, October.
    33. Kaiquan Xu & Jason Chan & Anindya Ghose & Sang Pil Han, 2017. "Battle of the Channels: The Impact of Tablets on Digital Commerce," Management Science, INFORMS, vol. 63(5), pages 1469-1492, May.
    34. Amy Wenxuan Ding & Shibo Li & Patrali Chatterjee, 2015. "Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation," Information Systems Research, INFORMS, vol. 26(2), pages 339-359, June.
    35. Richins, Marsha L & Dawson, Scott, 1992. "A Consumer Values Orientation for Materialism and Its Measurement: Scale Development and Validation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(3), pages 303-316, December.
    36. 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.
    37. Close, Angeline G. & Kukar-Kinney, Monika, 2010. "Beyond buying: Motivations behind consumers' online shopping cart use," Journal of Business Research, Elsevier, vol. 63(9-10), pages 986-992, September.
    38. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    39. Wendy W. Moe & Peter S. Fader, 2004. "Dynamic Conversion Behavior at E-Commerce Sites," Management Science, INFORMS, vol. 50(3), pages 326-335, March.
    40. Peter E. Rossi & Robert E. McCulloch & Greg M. Allenby, 1996. "The Value of Purchase History Data in Target Marketing," Marketing Science, INFORMS, vol. 15(4), pages 321-340.
    41. LAURENT, Gilles & CHANDON, Pierre & WANSINK, Brian, 2000. "A benefit congruency framework of sales promotion effectiveness," HEC Research Papers Series 698, HEC Paris.
    42. Praveen K. Kopalle & Carl F. Mela & Lawrence Marsh, 1999. "The Dynamic Effect of Discounting on Sales: Empirical Analysis and Normative Pricing Implications," Marketing Science, INFORMS, vol. 18(3), pages 317-332.
    43. Oliver J. Rutz & Michael Trusov, 2011. "Zooming In on Paid Search Ads--A Consumer-Level Model Calibrated on Aggregated Data," Marketing Science, INFORMS, vol. 30(5), pages 789-800, September.
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