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Consumer Learning and Brand Valuation: An Application on Over-the-Counter Drugs

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  • M. Tolga Akçura

    (Krannert Graduate School of Management, Purdue University, West Lafayette, Indiana 47907-1310)

  • Füsun F. Gönül

    (Heinz School, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Elina Petrova

    (Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

We develop a brand choice model with learning based on the Kalman filter methodology. The model enables us to separate the effects of contemporaneous marketing promotions from the impact of the perceived quality valuation accrued through product usage over time. We also account for idiosyncratic consumer learning and preferences. The results point to the presence of heterogeneity in the valuation carryover coefficients across consumers and brands. In contrast to our expectations, a higher price is not important for most of the consumers in the sample. The model enables us to compare brands in terms of their memorability, which determines brand salience on the next purchase occasion. Our findings suggest that price promotions may be deficient as a tool to increase market share in the studied product category. The proposed model is applicable to other consumer goods contingent on consumers' being sufficiently motivated to learn their own preferences via personal experience. Brand managers can use the model for comparative diagnostics and market performance simulation under different price and promotion scenarios. This paper is instructive to the application of a relatively new methodology; we illustrate the analytical potential of the model by demonstrating its inferential power in a specific marketing context.

Suggested Citation

  • M. Tolga Akçura & Füsun F. Gönül & Elina Petrova, 2004. "Consumer Learning and Brand Valuation: An Application on Over-the-Counter Drugs," Marketing Science, INFORMS, vol. 23(1), pages 156-169, April.
  • Handle: RePEc:inm:ormksc:v:23:y:2004:i:1:p:156-169
    DOI: 10.1287/mksc.1030.0028
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    References listed on IDEAS

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    6. Luo, Anita & Baker, Andrew & Donthu, Naveen, 2019. "Capturing dynamics in the value for brand recommendations from word-of-mouth conversations," Journal of Business Research, Elsevier, vol. 104(C), pages 247-260.
    7. Szymanowski, M.G., 2009. "Consumption-based learning about brand quality : Essays on how private labels share and borrow reputation," Other publications TiSEM b12825d8-5e21-4437-adda-b, Tilburg University, School of Economics and Management.
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    9. McVittie, Alistair & Moran, Dominic & Nevison, Ian, 2006. "Public Preferences for Broiler Chicken Welfare: Evidence from Stated Preference Studies," Working Papers 45990, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    10. Szymanowski, Maciej & Gijsbrechts, Els, 2013. "Patterns in consumption-based learning about brand quality for consumer packaged goods," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 219-235.
    11. S. Sriram & Pradeep K. Chintagunta & Ramya Neelamegham, 2006. "Effects of Brand Preference, Product Attributes, and Marketing Mix Variables in Technology Product Markets," Marketing Science, INFORMS, vol. 25(5), pages 440-456, September.
    12. Song, Lianlian & Shi, Yang & Tso, Geoffrey Kwok Fai & Lo, Hing Po, 2021. "Forecasting week-to-week television ratings using reduced-form and structural dynamic models," International Journal of Forecasting, Elsevier, vol. 37(1), pages 302-321.
    13. Günter J. Hitsch, 2006. "An Empirical Model of Optimal Dynamic Product Launch and Exit Under Demand Uncertainty," Marketing Science, INFORMS, vol. 25(1), pages 25-50, 01-02.
    14. Bing Jing, 2011. "Exogenous Learning, Seller-Induced Learning, and Marketing of Durable Goods," Management Science, INFORMS, vol. 57(10), pages 1788-1801, October.
    15. Alessandro Bonatti, 2011. "Menu Pricing and Learning," American Economic Journal: Microeconomics, American Economic Association, vol. 3(3), pages 124-163, August.
    16. Gerard J. Tellis & Philip Hans Franses, 2006. "Optimal Data Interval for Estimating Advertising Response," Marketing Science, INFORMS, vol. 25(3), pages 217-229, 05-06.
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    18. S. Sriram & Manohar U. Kalwani, 2007. "Optimal Advertising and Promotion Budgets in Dynamic Markets with Brand Equity as a Mediating Variable," Management Science, INFORMS, vol. 53(1), pages 46-60, January.

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