Investigating Category Pricing Behavior at a Retail Chain
PRADEEP K. CHINTAGUNTA*
In studying retailer pricing behavior, researchers typically assume that retailers maximize profits across all brands in a focal product category. In this article, the author attempts to study empirically the extent to which three factors affect retail prices: (1) the effects of payments from manufacturers to the retailer other than regular promotions, as well as the effects of additional costs borne by the retailer for these brands; (2) the retailer’s objectives specific to its store brand, such as maximizing store brand share; and (3) the effects of retail competition and store traffic. By specifying a demand function at the brand-chain level for each brand in the product category, the author derives pricing rules for the retailer. The author decomposes the retail price of a brand into effects due to wholesale price, markup (obtained from the demand functions), additional promotional payments, retail competition, and the retailer’s objectives for the store brand. The author carries out empirical analysis for a specific product category at a single retail grocery chain. The results indicate that the effects of the three factors vary across brands in the category.
Investigating Category Pricing Behavior at a Retail Chain
Studying retailer pricing behavior is an issue that has generated a great deal of interest in the marketing literature. Researchers have examined the issue from both theoretical (e.g., Choi 1991; Raju, Sethuraman, and Dhar 1995) and empirical (e.g., Tellis and Zufryden 1995) perspectives. Most studies assume that retailers set prices for different brands in a product category to maximize total category profits (see, e.g., Raju, Sethuraman, and Dhar 1995; Tellis and Zufryden 1995; Vilcassim and Chintagunta 1995). Although some recent studies have advocated examining profits across categories, the idea of maximizing profits at the category level appears to be the basis of most studies on retail pricing behavior. This
In studying retailer pricing behavior, researchers typically assume that retailers maximize profits across all brands in a focal product category. In this article, the author attempts to study empirically the extent to which three factors affect retail prices: (1) the effects of payments from manufacturers to the retailer other than regular promotions, as well as the effects of additional costs borne by the retailer for these brands; (2) the retailer’s objectives specific to its store brand, such as maximizing store brand share; and (3) the effects of retail competition and store traffic. By specifying a demand function at the brand-chain level for each brand in the product category, the author derives pricing rules for the retailer. The author decomposes the retail price of a brand into effects due to wholesale price, markup (obtained from the demand functions), additional promotional payments, retail competition, and the retailer’s objectives for the store brand. The author carries out empirical analysis for a specific product category at a single retail grocery chain. The results indicate that the effects of the three factors vary across brands in the category.
Investigating Category Pricing Behavior at a Retail Chain
Studying retailer pricing behavior is an issue that has generated a great deal of interest in the marketing literature. Researchers have examined the issue from both theoretical (e.g., Choi 1991; Raju, Sethuraman, and Dhar 1995) and empirical (e.g., Tellis and Zufryden 1995) perspectives. Most studies assume that retailers set prices for different brands in a product category to maximize total category profits (see, e.g., Raju, Sethuraman, and Dhar 1995; Tellis and Zufryden 1995; Vilcassim and Chintagunta 1995). Although some recent studies have advocated examining profits across categories, the idea of maximizing profits at the category level appears to be the basis of most studies on retail pricing behavior. This
References: Advertising Age (1992), “P&G Tests New Retail Plan, Cuts Diaper Price,” (June 22), 1. Beggs, S., Steven Cardell, and Jerry Hausman (1981), “Assessing the Potential Demand for Electric Cars,” Journal of Econometrics, 16 (1), 1–19. Berry, Steven T. (1994), “Estimating Discrete Choice Models of Product Differentiation,” RAND Journal of Economics, 25 (2), 242–62. ———, Jim Levinsohn, and Ariel Pakes (1995), “Automobile Prices in Market Equilibrium,” Econometrica, 63 (4), 841–90. Besanko, David, Sachin Gupta, and Dipak C. Jain (1998), “Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework,” Management Science, 44 (11 [1]), 1533–47. Blattberg, Robert C. and Scott A. Neslin (1990), Sales Promotion: Concepts, Methods and Strategies. Englewood Cliffs, NJ: Prentice Hall. Borrin, N. and Paul Farris (1990), “An Empirical Comparison of Direct Product Profitability and Existing Measures of SKU Productivity,” Journal of Retailing, 66 (3), 297–314. Choi, S. Chan (1991), “Price Competition in a Channel Structure with a Common Retailer,” Marketing Science, 10 (4), 271–96. Cotterill, Ronald W., William P. Putsis, and Ravi Dhar (2000), “Assessing the Competitive Interaction Between Private Labels and National Brands,” Journal of Business, 73 (1), 109–38. Dhar, Sanjay K. and Stephen J. Hoch (1997), “Why Store Brand Penetration Varies by Retailer,” Marketing Science, 16 (3), 208–27. Dreze, Xavier (1995), “Loss Leaders: Store Traffic and Cherry Picking,” doctoral dissertation, Graduate School of Business, University of Chicago. ——— and David R. Bell (2000), “Managing Channel Through Scanback: A Win–Win Proposition,” working paper, Wharton School, University of Pennsylvania. Frozen Food Age (2000), “Retailers Keeping More Promo Dollars,” 12 (July), 10, 28. Gupta, Sachin (1993), “A Dynamic Model of Promotional Pricing for Retail Category Management,” doctoral thesis, Johnson Graduate School of Management, Cornell University. Hamilton, James D. (1994), Time Series Analysis. Princeton, NJ: Princeton University Press. Hansen, Lars P. (1982), “Large Sample Properties of GMM Estimators,” Econometrica, 50 (4), 1029–1054. Hauser, John, Duncan Simester, and B. Wernerfelt (1997), “Side Payments in Marketing,” Marketing Science, 16 (3), 246–55. Hausman, Jerry, G. Leonard, and J.D. Zona (1994), “Competitive Analysis with Differentiated Products,” Annales D’Economie et de Statistique, 34, 159–80. ——— and David Wise (1978), “A Conditional Probit Model for Qualitative Choice,” Econometrica, 46 (2), 403–26. Hoch, Stephen J. and Shumeet Bannerji (1995), “When Do Private Labels Succeed?” Sloan Management Review, 34, 57–68. Kadiyali, Vrinda, Pradeep K. Chintagunta, and Naufel J. Vilcassim (2000), “Power in Manufacturer–Retailer Interactions: An JOURNAL OF MARKETING RESEARCH, MAY 2002 Empirical Investigation of Pricing in a Local Market,” Marketing Science, 19 (2), 127–48. ———, Naufel J. Vilcassim, and Pradeep Chintagunta (1999), “Empirical Analysis of Competitive Product Line Pricing Decisions: Lead, Follow, or Move Together,” Journal of Business, 69 (4), 459–87. Kamakura, Wagner and Gary J. Russell (1989), “A Probabilistic Choice Model for Market Segmentation and Elasticity Structure,” Journal of Marketing Research, 26 (November), 379–90. Keller, Kevin E. (1998), Strategic Brand Management. New York: Prentice Hall. Kim, Byoung-Do, Robert C. Blattberg, and Peter E. Rossi (1995), “Modeling the Distribution of Price Sensitivity and Implications for Optimal Retail Pricing,” Journal of Business and Economics Statistics, 13 (July), 291–304. Kim, Sang Yong and Richard Staelin (1999), “Manufacturer Allowances and Retailer Pass-Through Rates in a Competitive Environment,” Marketing Science, 18 (1), 59–76. Lal, Rajiv, John D.C. Little, and J. Miguel Villas-Boas (1996), “A Theory of Forward Buying, Merchandising and Trade Deals,” Marketing Science, 15 (1), 21–37. ——— and J. Miguel Villas-Boas (1998), “Price Promotions and Trade Deals with Multiproduct Retailers,” Management Science, 44 (7), 935–49. Lariviere, Martin A. and V. Padmanabhan (1997), “Slotting Allowances and New Product Introductions,” Marketing Science, 16 (2), 112–28 Narasimhan, Chakravarthi and Ronald T. Wilcox (1998), “Private Labels and the Channel Relationship: A Cross-Category Analysis,” Journal of Business, 71 (4), 573–600. Nevo, Aviv (2001), “Measuring Market Power in the Ready-to-Eat Cereal Industry,” Econometrica, 69 (2), 307–42. Pesendorfer, Martin (2001), “Retail Sales: A Study of Pricing Behavior in Supermarkets,” Journal of Business, 69 (2), 307–42. Raju, Jagmohan S., Raj Sethuraman, and Sanjay K. Dhar (1995), “The Introduction and Performance of Store Brands,” Management Science, 41 (6), 957–78. Scott-Morton, Fiona and Florian Zettelmeyer (2000), “The Strategic Use of Store Brands in Retailer–Manufacturer Bargaining,” working paper, School of Management, Yale University. Sudhir, K. (2001), “Structural Analysis of Competitive Pricing in the Presence of a Strategic Retailer,” Marketing Science, 20 (Summer), 244–64. Tellis, Gerard J. and Fred S. Zufryden (1995), “Tackling the Retailer Decision Maze: Which Brands to Discount, How Much, When and Why?” Marketing Science, 14 (3), 271–99. Vilcassim, Naufel J. and Pradeep K. Chintagunta (1995), “Investigating Retailer Product Category Pricing from Household Scanner Panel Data,” Journal of Retailing, 71 (2), 103–28. Walters, Rockney G. (1991), “Assessing the Impact of Retail Price Promotions on Product Substitution, Complementary Purchase, and Interstore Sales Displacement,” Journal of Marketing, 55 (2), 17–28. ——— and Scott B. MacKenzie (1988), “A Structural Equations Analysis of the Impact of Price Promotions on Store Performance,” Journal of Marketing Research, 25 (February), 51–63. ——— and Heikki Rinne (1986), “An Empirical Investigation into the Impact of Price Promotions on Retail Store Performance,” Journal of Retailing, 62 (3), 237–66. Yu, P.L. (1989), “Multiple Criteria Decision Making: Five Basic Concepts,” in Handbooks in Operations Research and Management Science, Vol. 1, G.L. Nemhauser, A.H.G. Rinnooy Kan, and M.J. Todd, eds. Amsterdam, The Netherlands: NorthHolland Publishing, 663–69. Zenor, Michael J. (1994), “The Profit Benefits of Category Management,” Journal of Marketing Research, 31 (May), 202–13.