IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v23y2004i1p28-49.html
   My bibliography  Save this article

An Empirical Analysis of Determinants of Retailer Pricing Strategy

Author

Listed:
  • Venkatesh Shankar

    () (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

  • Ruth N. Bolton

    () (Owen Graduate School of Management, Vanderbilt University, Nashville, Tennessee 37203)

Abstract

This paper empirically investigates the determinants of retailers' pricing decisions. It finds that competitor factors explain the most variance in retailer pricing strategy. Only in the cases of price-promotion coordination and relative brand price do category and chain factors explain much variance in retailer pricing. These findings are derived from a simultaneous equation model of how underlying dimensions of retailers' pricing strategies are influenced by variables representing the market, chain, store, category, brand, customer, and competition. The optical scanner data base describes 1,364 brand-store combinations from six categories of consumer packaged goods in five U.S. markets over a two-year time period. Our study classifies retailers' pricing strategies based on four underlying dimensions: price consistency, price-promotion intensity, price-promotion coordination, and relative brand price. These four pricing dimensions are statistically related to: (1) competitor price and deal frequency (competitor factors), (2) storability and necessity (category factors), (3) chain positioning and size (chain factors), (4) store size and assortment (store factors), (5) brand preference and advertising (brand factors), and (6) own-price and deal elasticities (customer factors). These findings are useful to retailers profiling alternative pricing strategies, and to manufacturers customizing the levels of marketing support spending for different retailers.

Suggested Citation

  • Venkatesh Shankar & Ruth N. Bolton, 2004. "An Empirical Analysis of Determinants of Retailer Pricing Strategy," Marketing Science, INFORMS, vol. 23(1), pages 28-49, May.
  • Handle: RePEc:inm:ormksc:v:23:y:2004:i:1:p:28-49
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.1030.0034
    Download Restriction: no

    References listed on IDEAS

    as
    1. J. Jeffrey Inman & Leigh McAlister, 1993. "A Retailer Promotion Policy Model Considering Promotion Signal Sensitivity," Marketing Science, INFORMS, vol. 12(4), pages 339-356.
    2. Ram C. Rao & Ramesh V. Arjunji & B. P. S. Murthi, 1995. "Game Theory and Empirical Generalizations Concerning Competitive Promotions," Marketing Science, INFORMS, vol. 14(3_supplem), pages 89-100.
    3. Rajiv Lal & J. Miguel Villas-Boas, 1998. "Price Promotions and Trade Deals with Multiproduct Retailers," Management Science, INFORMS, vol. 44(7), pages 935-949, July.
    4. Jagmohan S. Raju, 1992. "The Effect of Price Promotions on Variability in Product Category Sales," Marketing Science, INFORMS, vol. 11(3), pages 207-220.
    5. Ruth N. Bolton, 1989. "The Relationship Between Market Characteristics and Promotional Price Elasticities," Marketing Science, INFORMS, vol. 8(2), pages 153-169.
    6. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.
    7. Jagmohan S. Raju & V. Srinivasan & Rajiv Lal, 1990. "The Effects of Brand Loyalty on Competitive Price Promotional Strategies," Management Science, INFORMS, vol. 36(3), pages 276-304, March.
    8. Martin Pesendorfer, 2002. "Retail Sales: A Study of Pricing Behavior in Supermarkets," The Journal of Business, University of Chicago Press, vol. 75(1), pages 33-66, January.
    9. Sanjay K. Dhar & Stephen J. Hoch, 1997. "Why Store Brand Penetration Varies by Retailer," Marketing Science, INFORMS, vol. 16(3), pages 208-227.
    10. Paul R. Messinger & Chakravarthi Narasimhan, 1997. "A Model of Retail Formats Based on Consumers' Economizing on Shopping Time," Marketing Science, INFORMS, vol. 16(1), pages 1-23.
    11. Ram C. Rao & Niladri Syam, 2001. "Equilibrium Price Communication and Unadvertised Specials by Competing Supermarkets," Marketing Science, INFORMS, vol. 20(1), pages 61-81, June.
    12. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    13. Urbany, Joel E. & Dickson, Peter R., 1990. "Prospect theory and pricing decisions," Journal of Behavioral Economics, Elsevier, vol. 19(1), pages 69-80.
    14. Gerard J. Tellis & Fred S. Zufryden, 1995. "Tackling the Retailer Decision Maze: Which Brands to Discount, How Much, When and Why?," Marketing Science, INFORMS, vol. 14(3), pages 271-299.
    15. Anil Kaul & Dick R. Wittink, 1995. "Empirical Generalizations About the Impact of Advertising on Price Sensitivity and Price," Marketing Science, INFORMS, vol. 14(3_supplem), pages 151-160.
    16. Alba, Joseph W, et al, 1994. " The Influence of Prior Beliefs, Frequency Cues, and Magnitude Cues on Consumers' Perceptions of Comparative Price Data," Journal of Consumer Research, Oxford University Press, vol. 21(2), pages 219-235, September.
    17. Scott A. Neslin & Stephen G. Powell & Linda Schneider Stone, 1995. "The Effects of Retailer and Consumer Response on Optimal Manufacturer Advertising and Trade Promotion Strategies," Management Science, INFORMS, vol. 41(5), pages 749-766, May.
    Full references (including those not matched with items on IDEAS)

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:23:y:2004:i:1:p:28-49. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc). General contact details of provider: http://edirc.repec.org/data/inforea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.