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Do Promotions Benefit Manufacturers, Retailers or Both?

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Author Info
Srinivasan, S.
Pauwels, K.H.
Hanssens, D.M.
Dekimpe, M.G. (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)

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Abstract

While there has been strong managerial and academic interest in price promotions, much of the focus has been on the impact of such promotions on category sales, brand sales and brand choice. In contrast, little is known about the long-run impact of price promotions on manufacturer and retailer revenues and margins, although both marketing researchers and practitioners consider this a priority area (Marketing Science Institute 2000). Do promotions generate additional revenue and for whom? Which brand, category and market conditions influence promotional benefits and their allocation across manufacturers and retailers? To answer these questions, we conduct a large-scale econometric investigation of the effects of price promotions on manufacturer revenues, retailer revenues and margins. This investigation proceeds in two steps. First, persistence modeling reveals the short- and long-run effects of price promotions on these performance measures. Second, weighted least-squares analysis shows to what extent brand and promotion policies, as well as market-structure and category characteristics, influence promotional impact. A first major finding of our paper is that price promotions do not have permanent monetary effects for either party. Second, in terms of the cumulative, over-time, promotional impact on their revenues, we find significant differences between the manufacturer and retailer. Price promotions have a predominantly positive impact on manufacturer revenues, but their effects on retailer revenues are mixed. Retailer (category) margins, in contrast, are typically reduced by price promotions. Even when accounting for cross-category and store-traffic effects, we still find evidence that price promotions are typically not beneficial to the retailer. Third, our results indicate that manufacturer revenue elasticities are higher for promotions of small-share brands and for frequently promoted brands. Moreover, they are higher for storable products and lower in categories with a high degree of brand proliferation. Retailer revenue elasticities, in turn, are higher for brands with frequent and shallow promotions, for storable products and in categories with a low extent of brand proliferation. As such, from a revenue-generating point of view, manufacturer and retailer interests are often aligned in terms of which categories and brands to promote. Finally, retailer margin elasticities are higher for promotions of small-share brands and for brands with infrequent and shallow promotions. Thus, the implications with respect to the frequency of promotions depend upon the performance measure the retailer chooses to emphasize. The paper discusses the managerial implications of our results for both manufacturers and retailers and suggests various avenues for future research.

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Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2002-21-MKT Revision_Date: 2009-07-29.

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Date of creation: 27 Feb 2002
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Handle: RePEc:dgr:eureri:2002167

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Related research
Keywords: long-term profitability; sales promotions; category management; empirical generalizations; vector-autoregressive models;

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Judith A. Chevalier & Anil K. Kashyap & Peter E. Rossi, 2000. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," NBER Working Papers 7981, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  2. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November. [Downloadable!] (restricted)
    Other versions:
  3. Zivot, Eric & Andrews, Donald W K, 1992. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 251-70, July.
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  4. Kalyanaram, Gurumurthy & Little, John D C, 1994. " An Empirical Analysis of Latitude of Price Acceptance in Consumer Package Goods," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 21(3), pages 408-18, December.
  5. Narasimhan, Chakravarthi, 1988. "Competitive Promotional Strategies," Journal of Business, University of Chicago Press, vol. 61(4), pages 427-49, October. [Downloadable!] (restricted)
  6. Evans, Lewis & Wells, Graeme, 1983. "An alternative approach to simulating var models," Economics Letters, Elsevier, vol. 12(1), pages 23-29. [Downloadable!] (restricted)
  7. G. Dekimpe, Marnik & Hanssens, Dominique M. & Silva-Risso, Jorge M., 1998. "Long-run effects of price promotions in scanner markets," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 269-291, November. [Downloadable!] (restricted)
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Heerde, H.J. van & Dekimpe, M.G. & Putsis Jr, W.P., 2004. "Marketing Models and the Lucas Critique," Research Paper ERS-2004-080-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  2. Fok, D. & Paap, R. & Horváth, C. & Franses, Ph.H.B.F., 2005. "A Hierarchical Bayes Error Correction Model to Explain Dynamic Effects of Price Changes," Research Paper ERS-2005-047-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  3. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December. [Downloadable!] (restricted)
  4. Kiygi Calli M. & Weverbergh M. & Franses P.H., 2008. "Modeling the Effectiveness of Hourly Direct-Response Radio Commercials," Working Papers 2008005, University of Antwerp, Faculty of Applied Economics. [Downloadable!]
  5. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2003. "Modeling Dynamic Effects of the Marketing Mix on Market Shares," Research Paper ERS-2003-044-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
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