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Can Marketing Campaigns Induce Multichannel Buying and More Profitable Customers? A Field Experiment

Author

Listed:
  • Elisa Montaguti

    (Management Department, University of Bologna, 40126 Bologna, Italy)

  • Scott A. Neslin

    (Tuck School of Business, Dartmouth College, Hanover, New Hampshire 03755)

  • Sara Valentini

    (Management Department, University of Bologna, 40126 Bologna, Italy)

Abstract

One of the most intriguing findings in the multichannel customer management literature is the positive association between multichannel purchasing and customer profitability. The question is whether this finding can be put into action. That is, can a firm develop a marketing campaign to increase multichannel purchasing and hence average customer profitability, and if so what are the key factors that enable success. We design and implement a randomized field experiment to investigate this question. The field experiment tests four marketing campaigns that vary in the communications message and the provision of financial incentives. We find that the multichannel/profitability relationship is actionable. A properly designed marketing campaign increases the number of multichannel customers and increases average customer profitability. That campaign’s message emphasizes the benefits of multichannel shopping but does not rely on financial incentives. Moreover, we use propensity score matching to show that, after accounting for self-selection, multichannel customers are more profitable than they would be if they were not multichannel. A post-test analysis suggests that the multichannel/nonfinancial incentive campaign succeeded in inducing customers to become multichannel because it decreased customer reactance and increased perceived behavioral control.Data, as supplemental material, are available at http://dx.doi.org/10.1287/mksc.2015.0923 .

Suggested Citation

  • Elisa Montaguti & Scott A. Neslin & Sara Valentini, 2016. "Can Marketing Campaigns Induce Multichannel Buying and More Profitable Customers? A Field Experiment," Marketing Science, INFORMS, vol. 35(2), pages 201-217, March.
  • Handle: RePEc:inm:ormksc:v:35:y:2016:i:2:p:201-217
    DOI: 10.1287/mksc.2015.0923
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    1. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    2. Shimp, Terence A & Kavas, Alican, 1984. "The Theory of Reasoned Action Applied to Coupon Usage," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(3), pages 795-809, December.
    3. Catherine Tucker & Juanjuan Zhang, 2010. "Growing Two-Sided Networks by Advertising the User Base: A Field Experiment," Marketing Science, INFORMS, vol. 29(5), pages 805-814, 09-10.
    4. Zhao, Zhong, 2008. "Sensitivity of propensity score methods to the specifications," Economics Letters, Elsevier, vol. 98(3), pages 309-319, March.
    5. Gilles Laurent & Pierre Chandon & Brian Wansink, 2000. "A Benefit Congruency Framework of Sales Promotion Effectiveness," Post-Print hal-00458440, HAL.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Austin Nichols, 2007. "Causal inference with observational data," Stata Journal, StataCorp LP, vol. 7(4), pages 507-541, December.
    8. Gensler, Sonja & Leeflang, Peter & Skiera, Bernd, 2012. "Impact of online channel use on customer revenues and costs to serve: Considering product portfolios and self-selection," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 192-201.
    9. Eric Anderson & Duncan Simester, 2003. "Effects of $9 Price Endings on Retail Sales: Evidence from Field Experiments," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 93-110, March.
    10. LAURENT, Gilles & CHANDON, Pierre & WANSINK, Brian, 2000. "A benefit congruency framework of sales promotion effectiveness," HEC Research Papers Series 698, HEC Paris.
    11. Gavan J. Fitzsimons & Donald R. Lehmann, 2004. "Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses," Marketing Science, INFORMS, vol. 23(1), pages 82-94, September.
    12. Boehm, Martin, 2008. "Determining the impact of internet channel use on a customer's lifetime," Journal of Interactive Marketing, Elsevier, vol. 22(3), pages 2-22.
    13. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    14. Trampe, Debra & Konuş, Umut & Verhoef, Peter C., 2014. "Customer Responses to Channel Migration Strategies Toward the E-channel," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 257-270.
    15. Dennis Campbell & Frances Frei, 2010. "Cost Structure, Customer Profitability, and Retention Implications of Self-Service Distribution Channels: Evidence from Customer Behavior in an Online Banking Channel," Management Science, INFORMS, vol. 56(1), pages 4-24, January.
    16. Mei Xue & Lorin M. Hitt & Pei-yu Chen, 2011. "Determinants and Outcomes of Internet Banking Adoption," Management Science, INFORMS, vol. 57(2), pages 291-307, February.
    17. Neslin, Scott A. & Shankar, Venkatesh, 2009. "Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 70-81.
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