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A Basket-mix Model to Identify Cherry-picked Brands

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  • McAlister, Leigh
  • George, Edward I.
  • Chien, Yung-Hsin

Abstract

Extreme cherry pickers, those shoppers who visit a target retailer infrequently and buy only a few promoted items when they do visit, reduce that retailer's profitability. If the retailer could identify a particular brand that draws extreme cherry pickers, the retailer could use that information when negotiating with the brand's manufacturer to obtain wholesale promotional support that compensates the retailer for extreme-cherry-picker-related losses. Researchers have been successful in developing methods to identify those shoppers who are extreme cherry pickers, but they have been less successful in developing methods that identify the brands’ that draw extreme cherry pickers. In this paper, we present a method that can determine whether a brand, when promoted, draws extreme cherry pickers.

Suggested Citation

  • McAlister, Leigh & George, Edward I. & Chien, Yung-Hsin, 2009. "A Basket-mix Model to Identify Cherry-picked Brands," Journal of Retailing, Elsevier, vol. 85(4), pages 425-436.
    • Handle: RePEc:eee:jouret:v:85:y:2009:i:4:p:425-436
    DOI: 10.1016/j.jretai.2009.09.002
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    References listed on IDEAS

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    Cited by:

    1. Talukdar, Debabrata & Gauri, Dinesh K. & Grewal, Dhruv, 2010. "An Empirical Analysis of the Extreme Cherry Picking Behavior of Consumers in the Frequently Purchased Goods Market," Journal of Retailing, Elsevier, vol. 86(4), pages 336-354.
    2. Noriaki Matsushima & Akira Miyaoka, 2015. "The effects of resale-below-cost laws in the presence of a strategic manufacturer," Quantitative Marketing and Economics (QME), Springer, vol. 13(1), pages 59-91, March.
    3. Loy, Jens-Peter & Ren, Yanjun, 2022. "Web scraping of food retail prices: An analysis of internet food retail sales prices," EconStor Conference Papers 251552, ZBW - Leibniz Information Centre for Economics.
    4. Noriaki Matsushima & Akira Miyaoka, 2013. "Who benefits from resale-below-cost laws?," ISER Discussion Paper 0875, Institute of Social and Economic Research, Osaka University.
    5. Murthi, B.P.S. & Rao, Ram C., 2012. "Price Awareness and Consumers’ Use of Deals in Brand Choice," Journal of Retailing, Elsevier, vol. 88(1), pages 34-46.
    6. Richard A. Briesch & William R. Dillon & Edward J. Fox, 2013. "Category Positioning and Store Choice: The Role of Destination Categories," Marketing Science, INFORMS, vol. 32(3), pages 488-509, May.
    7. Zhang, Qin & Seetharaman, P.B. & Narasimhan, Chakravarthi, 2012. "The Indirect Impact of Price Deals on Households’ Purchase Decisions Through the Formation of Expected Future Prices," Journal of Retailing, Elsevier, vol. 88(1), pages 88-101.
    8. Grewal, Dhruv & Kopalle, Praveen & Marmorstein, Howard & Roggeveen, Anne L., 2012. "Does Travel Time to Stores Matter? The Role of Merchandise Availability," Journal of Retailing, Elsevier, vol. 88(3), pages 437-444.
    9. Murray, Chase C. & Gosavi, Abhijit & Talukdar, Debabrata, 2012. "The multi-product price-setting newsvendor with resource capacity constraints," International Journal of Production Economics, Elsevier, vol. 138(1), pages 148-158.
    10. Kocas, Cenk & Pauwels, Koen & Bohlmann, Jonathan D., 2018. "Pricing Best Sellers and Traffic Generators: The Role of Asymmetric Cross-selling," Journal of Interactive Marketing, Elsevier, vol. 41(C), pages 28-43.
    11. Gauri, Dinesh K. & Ratchford, Brian & Pancras, Joseph & Talukdar, Debabrata, 2017. "An Empirical Analysis of the Impact of Promotional Discounts on Store Performance," Journal of Retailing, Elsevier, vol. 93(3), pages 283-303.

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