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Channel Pass-Through of Trade Promotions

Author

Listed:
  • Vincent Nijs

    (Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

  • Kanishka Misra

    (London Business School, Regent's Park, London NW1 4SA, United Kingdom)

  • Eric T. Anderson

    (Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

  • Karsten Hansen

    (Rady School of Management, University of California, San Diego, La Jolla, California 92093)

  • Lakshman Krishnamurthi

    (Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

Abstract

Packaged goods manufacturers spend in excess of $75 billion annually on trade promotions, even though their effectiveness has been hotly debated by academics and practitioners for decades. One reason for this ongoing debate is that empirical research has been limited mostly to case studies, managerial surveys, and data from one or two supermarket chains in a single market. In this paper, we assemble a unique data set containing information on prices, quantities, and promotions throughout the entire channel in a category. Our study extends the empirical literature on pass-through in three important ways. First, we investigate how pass-through varies across more than 1,000 retailers in over 30 states. Second, we study pass-through at multiple levels of the distribution channel. Third, we show how the use of accounting metrics, such as average acquisition cost, rather than transaction cost, yields biased estimates of pass-through and therefore overstates the effectiveness of trade promotions. We find that mean pass-through elasticities are 0.71, 0.59, and 0.41, for the wholesaler, retailer, and total channel, respectively. More importantly, at each level of the channel we observe large variances in pass-through estimates that we explain using various measures of cost and competition. Surprisingly, we find that market structure and competition have a relatively small impact on pass-through. We conclude by showing how the profitability of manufacturer and wholesaler deals can be improved by utilizing detailed effectiveness estimates. For example, a manufacturer using an trade promotion strategy might offer a 10% off invoice deal to all retailers on every product. This strategy would decrease manufacturer and wholesaler profits for 56% of product/store combinations, whereas retailers experience a profit boost in 96% of cases. Manufacturers and wholesalers can avoid unprofitable trade deals for specific products and retailers by utilizing estimates of pass-through, consumer price elasticity, and margins. Compared to the inclusive strategy, such a trade promotion strategy would improve deal profitability by 80% and reduce costs by 40%.

Suggested Citation

  • Vincent Nijs & Kanishka Misra & Eric T. Anderson & Karsten Hansen & Lakshman Krishnamurthi, 2010. "Channel Pass-Through of Trade Promotions," Marketing Science, INFORMS, vol. 29(2), pages 250-267, 03-04.
  • Handle: RePEc:inm:ormksc:v:29:y:2010:i:2:p:250-267
    DOI: 10.1287/mksc.1090.0509
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    References listed on IDEAS

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    3. Chadwick J. Miller & Daniel C. Brannon & Jim Salas & Martha Troncoza, 2021. "Advertising, incentives, and the upsell: how advertising differentially moderates customer- vs. retailer-directed price incentives’ impact on consumers’ preferences for premium products," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1043-1064, November.
    4. Tsao, Yu-Chung & Lu, Jye-Chyi, 2016. "Trade promotion policies in manufacturer-retailer supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 96(C), pages 20-39.
    5. Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.
    6. Luong, Phat V. & Xu, Xiaowei, 2020. "Pass-through of commodity price shocks in distribution channels with risk-averse agents," International Journal of Production Economics, Elsevier, vol. 226(C).
    7. Sandra Mottner & Steven H. Smith & T. J. Olney, 2011. "Trade Promotions and Suppliers' Market Power," American Journal of Economics and Business Administration, Science Publications, vol. 3(3), pages 460-472, September.
    8. Vincent R. Nijs & Kanishka Misra & Karsten Hansen, 2014. "Outsourcing Retail Pricing to a Category Captain: The Role of Information Firewalls," Marketing Science, INFORMS, vol. 33(1), pages 66-81, January.
    9. Leeflang, Peter, 2011. "Paving the way for “distinguished marketing”," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 76-88.
    10. Honggang Hu & Quan Zheng & Xiajun Amy Pan, 2022. "Agency or Wholesale? The Role of Retail Pass-Through," Management Science, INFORMS, vol. 68(10), pages 7538-7554, October.
    11. Tim Lloyd, 2017. "Forty Years of Price Transmission Research in the Food Industry: Insights, Challenges and Prospects," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 3-21, February.
    12. Koll, Oliver & Plank, Andreas, 2022. "Do shoppers choose the same brand on the next trip when facing the same context? An empirical investigation in FMCG retailing," Journal of Retailing, Elsevier, vol. 98(4), pages 576-592.
    13. Ailawadi, Kusum L. & Farris, Paul W., 2017. "Managing Multi- and Omni-Channel Distribution: Metrics and Research Directions," Journal of Retailing, Elsevier, vol. 93(1), pages 120-135.
    14. Jason A. Duan & Leigh McAlister & Shameek Sinha, 2011. "Commentary--Reexamining Bayesian Model-Comparison Evidence of Cross-Brand Pass-Through," Marketing Science, INFORMS, vol. 30(3), pages 550-561, 05-06.
    15. Wilbur, Kenneth C. & Farris, Paul W., 2014. "Distribution and Market Share," Journal of Retailing, Elsevier, vol. 90(2), pages 154-167.
    16. Draganska, Michaela & Vitorino, Maria Ana, 2023. "Decomposing the effect of advertising: What happens in the retail channel?," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 226-247.
    17. Pancras, Joseph & Gauri, Dinesh K. & Talukdar, Debabrata, 2013. "Loss leaders and cross-category retailer pass-through: A Bayesian multilevel analysis," Journal of Retailing, Elsevier, vol. 89(2), pages 140-157.
    18. Carlo Russo, 2013. "Modelli comportamentali dei consumatori e strategie di pricing della Grande Distribuzione Organizzata. Implicazioni per le filiere agroalimentari," Economia agro-alimentare, FrancoAngeli Editore, vol. 15(1), pages 145-155.
    19. Blakeley B. McShane & Chaoqun Chen & Eric T. Anderson & Duncan I. Simester, 2016. "Decision Stages and Asymmetries in Regular Retail Price Pass-Through," Marketing Science, INFORMS, vol. 35(4), pages 619-639, July.
    20. Allender, William J. & Richards, Timothy J., 2012. "Brand Loyalty and Price Promotion Strategies: An Empirical Analysis," Journal of Retailing, Elsevier, vol. 88(3), pages 323-342.
    21. Desheng Wu, 2017. "Pass-through decision analysis in a supply chain," Annals of Operations Research, Springer, vol. 257(1), pages 297-316, October.
    22. Diego Aparicio & Duncan Simester, 2022. "Price Frictions and the Success of New Products," Marketing Science, INFORMS, vol. 41(6), pages 1057-1073, November.

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