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The Role of Retail Competition, Demographics and Account Retail Strategy as Drivers of Promotional Sensitivity

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  • Peter Boatwright
  • Sanjay Dhar
  • Peter Rossi

Abstract

We study the determinants of sensitivity to the promotional activities of temporary price reductions, displays, and feature advertisements. Both the theoretical and empirical literatures on price promotions suggest that retailer competition and the demographic composition of the shopping population should be linked to response to temporary price cuts. However, datasets that span different market areas have not been used to study the role of retail competition in determining price sensitivity. Moreover, little is known about the determinants of display and feature response. Very little attention has been focused on retailer strategic decisions such as price format (EDLP vs. Hi-Lo) or size of stores. We assemble a unique dataset with all U.S. markets and all major retail grocery chains represented in order to investigate the role of retail competition, account retail strategy, and demographics in determining promotional response. Previous work has not simultaneously modeled response to price, display, and feature promotions, which we do in a Bayesian Hierarchical model. We also allow for retailers in the same market to have correlated sales response equations through a variance component specification. Our results indicate that retail strategic variables such as price format are the most important determinants of promotional response, followed by demographic variables. Surprisingly, we find that variables measuring the extent of retail competition are not important in explaining promotional response. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Peter Boatwright & Sanjay Dhar & Peter Rossi, 2004. "The Role of Retail Competition, Demographics and Account Retail Strategy as Drivers of Promotional Sensitivity," Quantitative Marketing and Economics (QME), Springer, vol. 2(2), pages 169-190, June.
  • Handle: RePEc:kap:qmktec:v:2:y:2004:i:2:p:169-190
    DOI: 10.1023/B:QMEC.0000027777.29554.8b
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    References listed on IDEAS

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    1. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    2. Lal, Rajiv & Matutes, Carmen, 1994. "Retail Pricing and Advertising Strategies," The Journal of Business, University of Chicago Press, vol. 67(3), pages 345-370, July.
    3. Allenby, Greg M & Rossi, Peter E, 1991. "There Is No Aggregate Bias: Why Macro Logit Models Work," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 1-14, January.
    4. Rajiv Lal & John D. C. Little & J. Miguel Villas-Boas, 1996. "A Theory of Forward Buying, Merchandising, and Trade Deals," Marketing Science, INFORMS, vol. 15(1), pages 21-37.
    5. Teck-Hua Ho & Christopher S. Tang & David R. Bell, 1998. "Rational Shopping Behavior and the Option Value of Variable Pricing," Management Science, INFORMS, vol. 44(12-Part-2), pages 145-160, December.
    6. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    7. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    8. Jerry A. Hausman, 1996. "Valuation of New Goods under Perfect and Imperfect Competition," NBER Chapters, in: The Economics of New Goods, pages 207-248, National Bureau of Economic Research, Inc.
    9. Sang Yong Kim & Richard Staelin, 1999. "Manufacturer Allowances and Retailer Pass-Through Rates in a Competitive Environment," Marketing Science, INFORMS, vol. 18(1), pages 59-76.
    10. Timothy F. Bresnahan & Robert J. Gordon, 1996. "The Economics of New Goods," NBER Books, National Bureau of Economic Research, Inc, number bres96-1.
    11. Judith A. Chevalier & Anil K. Kashyap & Peter E. Rossi, 2003. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," American Economic Review, American Economic Association, vol. 93(1), pages 15-37, March.
    12. Ruth N. Bolton, 1989. "The Relationship Between Market Characteristics and Promotional Price Elasticities," Marketing Science, INFORMS, vol. 8(2), pages 153-169.
    13. Sanjay K. Dhar & Stephen J. Hoch, 1997. "Why Store Brand Penetration Varies by Retailer," Marketing Science, INFORMS, vol. 16(3), pages 208-227.
    14. Narasimhan, Chakravarthi, 1988. "Competitive Promotional Strategies," The Journal of Business, University of Chicago Press, vol. 61(4), pages 427-449, October.
    15. Andrew Ainslie & Peter E. Rossi, 1998. "Similarities in Choice Behavior Across Product Categories," Marketing Science, INFORMS, vol. 17(2), pages 91-106.
    16. Rajiv Lal & Ram Rao, 1997. "Supermarket Competition: The Case of Every Day Low Pricing," Marketing Science, INFORMS, vol. 16(1), pages 60-80.
    17. Allenby, G.M. & Rossi, P.E., 1988. "There Is No Aggregation Bias: Why Macro Logit Models Work," Papers 88-62, Chicago - Graduate School of Business.
    18. J. Miguel Villas-Boas & Russell S. Winer, 1999. "Endogeneity in Brand Choice Models," Management Science, INFORMS, vol. 45(10), pages 1324-1338, October.
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