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Value-based pricing in competitive situations with the help of multi-product price response maps

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  • Dost, Florian
  • Geiger, Ingmar

Abstract

This article introduces multi-product price response maps for various value pricing applications in competitive situations. The maps are based on the direct elicitation of individual willingness to pay (WTP) as a range for competing products; they reveal an individual's or market's choice probability for a focal product, at its own and competing products' prices. Transforming the price response into profit, revenue, or unit sold maps supports optimal pricing decisions. The maps are also useful for optimizing profit differences from the closest competitor and for portfolio pricing. Managers can use a consumer indecisiveness map, gained from the WTP range data, to devise complementary marketing measures at prices where consumer uncertainty is high. The illustration of this approach uses two empirical examples, featuring two or more competing consumer goods, and demonstrates the predictive and external validity of these proposed maps.

Suggested Citation

  • Dost, Florian & Geiger, Ingmar, 2017. "Value-based pricing in competitive situations with the help of multi-product price response maps," Journal of Business Research, Elsevier, vol. 76(C), pages 219-236.
    • Handle: RePEc:eee:jbrese:v:76:y:2017:i:c:p:219-236
    DOI: 10.1016/j.jbusres.2017.01.004
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    References listed on IDEAS

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    1. Hauser, John R & Urban, Glen L, 1986. "The Value Priority Hypotheses for Consumer Budget Plans," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(4), pages 446-462, March.
    2. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    3. 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.
    4. Erik Maier & Robert Wilken & Florian Dost, 2015. "The double benefits of consumer certainty: combining risk and range effects," Marketing Letters, Springer, vol. 26(4), pages 473-488, December.
    5. Franziska Voelckner, 2006. "An empirical comparison of methods for measuring consumers’ willingness to pay," Marketing Letters, Springer, vol. 17(2), pages 137-149, April.
    6. Kamel Jedidi & Z. John Zhang, 2002. "Augmenting Conjoint Analysis to Estimate Consumer Reservation Price," Management Science, INFORMS, vol. 48(10), pages 1350-1368, October.
    7. Luc Wathieu & Marco Bertini, 2007. "Price as a Stimulus to Think: The Case for Willful Overpricing," Marketing Science, INFORMS, vol. 26(1), pages 118-129, 01-02.
    8. Park, Joo Heon & MacLachlan, Douglas L. & Love, Edwin, 2011. "New product pricing strategy under customer asymmetric anchoring," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 309-318.
    9. 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.
    10. Moorthy, Sridhar & Ratchford, Brian T & Talukdar, Debabrata, 1997. "Consumer Information Search Revisited: Theory and Empirical Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(4), pages 263-277, March.
    11. 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.
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    Cited by:

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    4. Juan Pérez & Héctor López-Ospina, 2022. "Competitive Pricing for Multiple Market Segments Considering Consumers’ Willingness to Pay," Mathematics, MDPI, vol. 10(19), pages 1-32, October.
    5. Tuo Wang & Michael Y. Hu, 2019. "Differential pricing with consumers’ valuation uncertainty by a monopoly," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(3), pages 247-255, June.

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