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On the Edge of Buying: A Targeting Approach for Indecisive Buyers Based on Willingness-to-Pay Ranges

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  • Dost, Florian
  • Wilken, Robert
  • Eisenbeiss, Maik
  • Skiera, Bernd

Abstract

Targeting the “right” consumers is a core part of marketing. Whereas existing techniques to identify these consumers use demographic or psychographic variables or behaviors such as response probabilities, a proposed new targeting approach builds on consumers’ incremental responses to identify them by their willingness-to-pay (WTP) ranges. These WTP ranges reveal a consumer as a definite buyer, a definite non-buyer, or an indecisive buyer. The proposed theoretical framework indicates that indecisive buyers offer the highest incremental responses to targeted marketing mix activities and thus should be the most preferred targeting group. A sequence of three laboratory experimental studies validates the proposed approach for targeted price discounts and non-price tactics. In addition, a large-scale field experiment involving a consumer engagement campaign that includes observed purchase behavior demonstrates the high external validity and applicability of this approach.

Suggested Citation

  • Dost, Florian & Wilken, Robert & Eisenbeiss, Maik & Skiera, Bernd, 2014. "On the Edge of Buying: A Targeting Approach for Indecisive Buyers Based on Willingness-to-Pay Ranges," Journal of Retailing, Elsevier, vol. 90(3), pages 393-407.
    • Handle: RePEc:eee:jouret:v:90:y:2014:i:3:p:393-407
    DOI: 10.1016/j.jretai.2014.03.007
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    References listed on IDEAS

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    1. 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.
    2. Kusum L. Ailawadi & Bari A. Harlam, 2009. "—Retailer Promotion Pass-Through: A Measure, Its Magnitude, and Its Determinants," Marketing Science, INFORMS, vol. 28(4), pages 782-791, 07-08.
    3. Grewal, Dhruv & Ailawadi, Kusum L. & Gauri, Dinesh & Hall, Kevin & Kopalle, Praveen & Robertson, Jane R., 2011. "Innovations in Retail Pricing and Promotions," Journal of Retailing, Elsevier, vol. 87(S1), pages 43-52.
    4. Dost, Florian & Wilken, Robert, 2012. "Measuring willingness to pay as a range, revisited: When should we care?," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 148-166.
    5. Jie Zhang & Lakshman Krishnamurthi, 2004. "Customizing Promotions in Online Stores," Marketing Science, INFORMS, vol. 23(4), pages 561-578, June.
    6. Jan Roelf Bult & Tom Wansbeek, 1995. "Optimal Selection for Direct Mail," Marketing Science, INFORMS, vol. 14(4), pages 378-394.
    7. Franziska Voelckner, 2006. "An empirical comparison of methods for measuring consumers’ willingness to pay," Marketing Letters, Springer, vol. 17(2), pages 137-149, April.
    8. Christian Schlereth & Christine Eckert & Bernd Skiera, 2012. "Using discrete choice experiments to estimate willingness-to-pay intervals," Marketing Letters, Springer, vol. 23(3), pages 761-776, September.
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    Cited by:

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    3. Robin Gubela & Artem Bequé & Stefan Lessmann & Fabian Gebert, 2019. "Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 747-791, May.
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    6. Scholdra, Thomas P. & Wichmann, Julian R.K. & Reinartz, Werner J., 2023. "Reimagining personalization in the physical store," Journal of Retailing, Elsevier, vol. 99(4), pages 563-579.
    7. Gubela, Robin & Bequé, Artem & Gebert, Fabian & Lessmann, Stefan, 2018. "Conversion uplift in e-commerce: A systematic benchmark of modeling strategies," IRTG 1792 Discussion Papers 2018-062, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
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    9. Ying, Jiahui & Shonkwiler, Vanessa P. & Campbell, Benjamin L., 2018. "Willingness to Pay or Not to Pay: Valuing Foods Some Respondents Find Distasteful," 2018 Annual Meeting, August 5-7, Washington, D.C. 274065, Agricultural and Applied Economics Association.

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