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Measuring Customer Based Brand Equity using Hierarchical Bayes Methodology

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  • Sinha, Ashish
  • Gazley, Aaron
  • Ashill, Nicholas J.

Abstract

In this paper, we propose a method to measure brand equity in a product category at the individual level that allows managers to parcel out brand equity into its respective components and estimate the relative importance of these components. The monetary equivalent value for each of the sub-components of brand equity is calculated. Two new measures for evaluating the long-term health of a brand are also proposed. A nested design based on conjoint methodology, coupled with a hierarchical linear Bayes model, is used to estimate brand equity. The methodology is applied to the Television category and its applicability to managerial decision-making is shown.

Suggested Citation

  • Sinha, Ashish & Gazley, Aaron & Ashill, Nicholas J., 2008. "Measuring Customer Based Brand Equity using Hierarchical Bayes Methodology," Australasian marketing journal, Elsevier, vol. 16(1), pages 3-19.
    • Handle: RePEc:eee:aumajo:v:16:y:2008:i:1:p:3-19
    DOI: 10.1016/S1441-3582(08)70001-6
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    References listed on IDEAS

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    1. Keane, Michael P, 1997. "Modeling Heterogeneity and State Dependence in Consumer Choice Behavior," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 310-327, July.
    2. Andrew A. Goett & Kathleen Hudson & Kenneth E. Train, 2000. "Customers' Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attributes," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-28.
    3. Carol J. Simon & Mary W. Sullivan, 1993. "The Measurement and Determinants of Brand Equity: A Financial Approach," Marketing Science, INFORMS, vol. 12(1), pages 28-52.
    4. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    5. Alan L. Montgomery, 1997. "Creating Micro-Marketing Pricing Strategies Using Supermarket Scanner Data," Marketing Science, INFORMS, vol. 16(4), pages 315-337.
    6. V. Srinivasan, 1979. "Network Models for Estimating Brand-Specific Effects in Multi-Attribute Marketing Models," Management Science, INFORMS, vol. 25(1), pages 11-21, January.
    7. Sheth, Jagdish N. & Newman, Bruce I. & Gross, Barbara L., 1991. "Why we buy what we buy: A theory of consumption values," Journal of Business Research, Elsevier, vol. 22(2), pages 159-170, March.
    8. Elrod, Terry & Keane, Michael, 1995. "A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data," MPRA Paper 52434, University Library of Munich, Germany.
    9. Taylor Randall & Karl Ulrich & David Reibstein, 1998. "Brand Equity and Vertical Product Line Extent," Marketing Science, INFORMS, vol. 17(4), pages 356-379.
    10. Peter J. Lenk & Wayne S. DeSarbo & Paul E. Green & Martin R. Young, 1996. "Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs," Marketing Science, INFORMS, vol. 15(2), pages 173-191.
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    Cited by:

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