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Management and Effects of In-Store Promotional Displays

Author

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  • Oğuz Çetin

    (Kenan-Flagler Business School, University of North Carolina, Chapel Hill, North Carolina 27599-2390)

  • Adam J. Mersereau

    (Kenan-Flagler Business School, University of North Carolina, Chapel Hill, North Carolina 27599-2390)

  • Ali K. Parlaktürk

    (Kenan-Flagler Business School, University of North Carolina, Chapel Hill, North Carolina 27599-2390)

Abstract

Problem definition : We examine a brick-and-mortar retailer’s choice of which product to include in a promotional display (e.g., an “endcap” display). The display provides a visibility advantage to both the featured product and its category, but it also has consequences for customer traffic and substitution. Academic/practical relevance : Although there has been considerable academic interest in the assortment planning problem (which products to offer?) and in the shelf-space allocation problem (how much space to devote to each product?), little attention has been paid to the problem of where to place products in the store. Promotional display choice can serve as a powerful demand-shaping lever for retailers. A good understanding of this problem can also facilitate a retailer’s negotiations with manufacturers. Methodology : We develop analytical insights using a problem formulation based on a nested multinomial logit model of customer choice. Results : When choosing a promotional product from a fixed category, the only possible optimal choices for promotional display lie along an “efficient set” drawn in terms of product popularities and margins. The optimal choice along the frontier depends on a quantity we call “aisle attractiveness” that depends on several category-level parameters. The value of the display to a category pivots on whether the display’s role is primarily to expand demand for the category or to shape substitution within the category. Managerial implications : Our work provides guidance for how retailers can use and value promotional displays effectively. We highlight the importance of considering externalities of a display decision on store traffic and demand for other products.

Suggested Citation

  • Oğuz Çetin & Adam J. Mersereau & Ali K. Parlaktürk, 2020. "Management and Effects of In-Store Promotional Displays," Manufacturing & Service Operations Management, INFORMS, vol. 22(3), pages 481-494, May.
  • Handle: RePEc:inm:ormsom:v:22:y:2020:i:3:p:481-494
    DOI: 10.1287/msom.2018.0749
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    References listed on IDEAS

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    1. Jie Zhang, 2006. "An Integrated Choice Model Incorporating Alternative Mechanisms for Consumers' Reactions to In-Store Display and Feature Advertising," Marketing Science, INFORMS, vol. 25(3), pages 278-290, 05-06.
    2. Leeflang, Peter S.H. & Parreño Selva, Josefa & Van Dijk, Albert & Wittink, Dick R., 2008. "Decomposing the sales promotion bump accounting for cross-category effects," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 201-214.
    3. David Besanko & Sachin Gupta & Dipak Jain, 1998. "Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework," Management Science, INFORMS, vol. 44(11-Part-1), pages 1533-1547, November.
    4. van Heerde, H.J. & Gupta, S. & Wittink, D.R., 2003. "Is 3/4 of the Sales Promotion Bump Due to Brand Switching? No it is 1/3," Discussion Paper 2003-5, Tilburg University, Center for Economic Research.
    5. 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.
    6. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    7. William J. Baumol & Edward A. Ide, 1956. "Variety in Retailing," Management Science, INFORMS, vol. 3(1), pages 93-101, October.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    9. Cardell, N. Scott, 1997. "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity," Econometric Theory, Cambridge University Press, vol. 13(2), pages 185-213, April.
    10. Harikesh Nair & Jean-Pierre Dubé & Pradeep Chintagunta, 2005. "Accounting for Primary and Secondary Demand Effects with Aggregate Data," Marketing Science, INFORMS, vol. 24(3), pages 444-460, November.
    11. Nordfält, Jens & Lange, Fredrik, 2013. "In-store demonstrations as a promotion tool," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 20-25.
    12. Harald J. Heerde & Scott A. Neslin, 2017. "Sales Promotion Models," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 13-77, Springer.
    13. Marcel Corstjens & Peter Doyle, 1981. "A Model for Optimizing Retail Space Allocations," Management Science, INFORMS, vol. 27(7), pages 822-833, July.
    14. Pradeep K. Chintagunta, 1993. "Investigating Purchase Incidence, Brand Choice and Purchase Quantity Decisions of Households," Marketing Science, INFORMS, vol. 12(2), pages 184-208.
    15. A. Gürhan Kök & Marshall L. Fisher & Ramnath Vaidyanathan, 2008. "Assortment Planning: Review of Literature and Industry Practice," International Series in Operations Research & Management Science, in: Narendra Agrawal & Stephen A. Smith (ed.), Retail Supply Chain Management, chapter 0, pages 99-153, Springer.
    16. James M. Davis & Guillermo Gallego & Huseyin Topaloglu, 2014. "Assortment Optimization Under Variants of the Nested Logit Model," Operations Research, INFORMS, vol. 62(2), pages 250-273, April.
    17. Manrai, Ajay K. & Andrews, Rick L., 1998. "Two-stage discrete choice models for scanner panel data: An assessment of process and assumptions," European Journal of Operational Research, Elsevier, vol. 111(2), pages 193-215, December.
    18. Stoops, Glenn T. & Pearson, Michael M., 1988. "Direct Product Profit: A View From The Supermarket Industry," Journal of Food Distribution Research, Food Distribution Research Society, vol. 19(2), pages 1-5, September.
    19. A. Gürhan Kök & Yi Xu, 2011. "Optimal and Competitive Assortments with Endogenous Pricing Under Hierarchical Consumer Choice Models," Management Science, INFORMS, vol. 57(9), pages 1546-1563, February.
    20. Guillermo Gallego & Huseyin Topaloglu, 2014. "Constrained Assortment Optimization for the Nested Logit Model," Management Science, INFORMS, vol. 60(10), pages 2583-2601, October.
    21. Phillips, Megan & Parsons, Andrew G. & Wilkinson, Helene J. & Ballantine, Paul W., 2015. "Competing for attention with in-store promotions," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 141-146.
    22. H. Neil Geismar & Milind Dawande & B. P. S. Murthi & Chelliah Sriskandarajah, 2015. "Maximizing Revenue Through Two-Dimensional Shelf-Space Allocation," Production and Operations Management, Production and Operations Management Society, vol. 24(7), pages 1148-1163, July.
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