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The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments

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  • Goic, Marcel
  • Rojas, Andrea
  • Saavedra, Ignacio

Abstract

Triggered emails are personalized messages that are automatically sent as a response to specific actions or states of customers. Typical examples of this type of campaign include cross-selling recommendations, cart abandonment reminders, and re-engagement emails. Despite the widespread growth of these strategies, there has been no formal evaluation of their effectiveness. This paper investigates the impact of one type of triggered email campaign by using an experimental approach. We identify customers who had recently browsed the website of a multichannel retailer but had abandoned the process before making a purchase. Approximately half of the sample was randomly selected to receive automated emails with different configurations, while the other half receive no message at all. Comparison of the sales of these two groups indicates that browse abandonment emails have increase revenues in the online channel and in the triggered category. In terms of the design of the campaign, we found that the implementation of triggered emails plays an important role in their effectiveness. In this regard our result indicates that retargeting based on longer navigation histories is associated with larger conversions and that recommendations of wider assortments are associated with larger revenues.

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  • Goic, Marcel & Rojas, Andrea & Saavedra, Ignacio, 2021. "The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 118-145.
  • Handle: RePEc:eee:joinma:v:55:y:2021:i:c:p:118-145
    DOI: 10.1016/j.intmar.2021.02.002
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    as
    1. Colin Vance, 2009. "Marginal effects and significance testing with Heckman's sample selection model: a methodological note," Applied Economics Letters, Taylor & Francis Journals, vol. 16(14), pages 1415-1419.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. Jiexing Wu & Kate J. Li & Jun S. Liu, 2018. "Bayesian Inference for Assessing Effects of Email Marketing Campaigns," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(2), pages 253-266, April.
    4. Santiago Gallino & Antonio Moreno, 2014. "Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information," Management Science, INFORMS, vol. 60(6), pages 1434-1451, June.
    5. Mikhail Zhelonkin & Marc G. Genton & Elvezio Ronchetti, 2016. "Robust inference in sample selection models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 805-827, September.
    6. Vafainia, Saeid & Breugelmans, Els & Bijmolt, Tammo, 2019. "Calling Customers to Take Action: The Impact of Incentive and Customer Characteristics on Direct Mailing Effectiveness," Journal of Interactive Marketing, Elsevier, vol. 45(C), pages 62-80.
    7. Srivastava, Vartika & Kalro, Arti D., 2019. "Enhancing the Helpfulness of Online Consumer Reviews: The Role of Latent (Content) Factors," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 33-50.
    8. Negin Golrezaei & Hamid Nazerzadeh & Paat Rusmevichientong, 2014. "Real-Time Optimization of Personalized Assortments," Management Science, INFORMS, vol. 60(6), pages 1532-1551, June.
    9. Brett R. Gordon & Florian Zettelmeyer & Neha Bhargava & Dan Chapsky, 2019. "A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook," Marketing Science, INFORMS, vol. 38(2), pages 193-225, March.
    10. Kollmann, Tobias & Kuckertz, Andreas & Kayser, Ina, 2012. "Cannibalization or synergy? Consumers' channel selection in online–offline multichannel systems," Journal of Retailing and Consumer Services, Elsevier, vol. 19(2), pages 186-194.
    11. Jie Zhang & Lakshman Krishnamurthi, 2004. "Customizing Promotions in Online Stores," Marketing Science, INFORMS, vol. 23(4), pages 561-578, June.
    12. Gilles Laurent & Pierre Chandon & Brian Wansink, 2000. "A Benefit Congruency Framework of Sales Promotion Effectiveness," Post-Print hal-00458440, HAL.
    13. Goic, Marcel & Álvarez, Rodolfo & Montoya, Ricardo, 2018. "The Effect of House Ads on Multichannel Sales," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 32-45.
    14. André Bonfrer & Xavier Drèze, 2009. "Real-Time Evaluation of E-mail Campaign Performance," Marketing Science, INFORMS, vol. 28(2), pages 251-263, 03-04.
    15. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    16. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    17. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    18. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
    19. Duan, Naihua, et al, 1984. "Choosing between the Sample-Selection Model and the Multi-part Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 283-289, July.
    20. Atanu Saha & Oral Capps & Patrick Byrne, 1997. "Calculating marginal effects in models for zero expenditures in household budgets using a Heckman-type correction," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1311-1316.
    21. Tiffany White & Debra Zahay & Helge Thorbjørnsen & Sharon Shavitt, 2008. "Getting too personal: Reactance to highly personalized email solicitations," Marketing Letters, Springer, vol. 19(1), pages 39-50, March.
    22. Matthijs Meire & Kelly Hewett & Michel Ballings & V. Kumar & Dirk van den Poel, 2019. "The Role of Marketer-Generated Content in Customer Engagement Marketing," Post-Print hal-02509303, HAL.
    23. Schumann, David W & Petty, Richard E & Clemons, D Scott, 1990. "Predicting the Effectiveness of Different Strategies of Advertising Variation: A Test of the Repetition-Variation Hypotheses," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(2), pages 192-202, September.
    24. Anderson, Soren & Newell, Richard G., 2003. "Simplified marginal effects in discrete choice models," Economics Letters, Elsevier, vol. 81(3), pages 321-326, December.
    25. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    26. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    27. Sebastian Steinker & Kai Hoberg & Ulrich W. Thonemann, 2017. "The Value of Weather Information for E-Commerce Operations," Production and Operations Management, Production and Operations Management Society, vol. 26(10), pages 1854-1874, October.
    28. Montgomery, Alan L. & Smith, Michael D., 2009. "Prospects for Personalization on the Internet," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 130-137.
    29. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    30. 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.
    31. Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
    32. Alan Fernihough, 2011. "Simple logit and probit marginal effects in R," Working Papers 201122, School of Economics, University College Dublin.
    33. Verhoef, Peter C. & Venkatesan, Rajkumar & McAlister, Leigh & Malthouse, Edward C. & Krafft, Manfred & Ganesan, Shankar, 2010. "CRM in Data-Rich Multichannel Retailing Environments: A Review and Future Research Directions," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 121-137.
    34. Navdeep S. Sahni & S. Christian Wheeler & Pradeep Chintagunta, 2018. "Personalization in Email Marketing: The Role of Noninformative Advertising Content," Marketing Science, INFORMS, vol. 37(2), pages 236-258, March.
    35. Feng, Cong & Fay, Scott, 2020. "Store Closings and Retailer Profitability: A Contingency Perspective," Journal of Retailing, Elsevier, vol. 96(3), pages 411-433.
    36. Young-Hoon Park & Peter S. Fader, 2004. "Modeling Browsing Behavior at Multiple Websites," Marketing Science, INFORMS, vol. 23(3), pages 280-303, May.
    37. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    38. Vilma Todri & Anindya Ghose & Param Vir Singh, 2020. "Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel," Information Systems Research, INFORMS, vol. 31(1), pages 102-125, March.
    39. Jan Roelf Bult & Tom Wansbeek, 1995. "Optimal Selection for Direct Mail," Marketing Science, INFORMS, vol. 14(4), pages 378-394.
    40. LAURENT, Gilles & CHANDON, Pierre & WANSINK, Brian, 2000. "A benefit congruency framework of sales promotion effectiveness," HEC Research Papers Series 698, HEC Paris.
    41. Stephen J. Hoch & Eric T. Bradlow & Brian Wansink, 1999. "The Variety of an Assortment," Marketing Science, INFORMS, vol. 18(4), pages 527-546.
    42. Scott A. Neslin & Stephen G. Powell & Linda Schneider Stone, 1995. "The Effects of Retailer and Consumer Response on Optimal Manufacturer Advertising and Trade Promotion Strategies," Management Science, INFORMS, vol. 41(5), pages 749-766, May.
    43. Gubela, Robin M. & Lessmann, Stefan & Jaroszewicz, Szymon, 2020. "Response transformation and profit decomposition for revenue uplift modeling," European Journal of Operational Research, Elsevier, vol. 283(2), pages 647-661.
    44. Murray, Kyle B. & Häubl, Gerald, 2009. "Personalization without Interrogation: Towards more Effective Interactions between Consumers and Feature-Based Recommendation Agents," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 138-146.
    45. Breugelmans, Els & Campo, Katia, 2016. "Cross-Channel Effects of Price Promotions: An Empirical Analysis of the Multi-Channel Grocery Retail Sector," Journal of Retailing, Elsevier, vol. 92(3), pages 333-351.
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    1. Goić, Marcel & Jerath, Kinshuk & Kalyanam, Kirthi, 2022. "The roles of multiple channels in predicting website visits and purchases: Engagers versus closers," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 656-677.
    2. Nicolás Aramayo & Mario Schiappacasse & Marcel Goic, 2023. "A Multiarmed Bandit Approach for House Ads Recommendations," Marketing Science, INFORMS, vol. 42(2), pages 271-292, March.
    3. Rodriguez, Virginie & Sangle-Ferriere, Marion, 2023. "Do supermarkets’ emails have any value for their customers? The effect of emails’ content and interestingness on customers’ attitude and engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).

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