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Cross-buying in retailing: Drivers and consequences

Author

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  • Kumar, V.
  • George, Morris
  • Pancras, Joseph

Abstract

The phenomenon of cross-buying by consumers enables retailers to cross-sell their products and increase revenue contribution from existing customers. The effectiveness of cross-selling can be greatly improved by identifying the drivers of cross-buy and using them to target the right customers. In this study we identify exchange characteristics such as average interpurchase time, ratio of product returns, and focused buying, and product characteristics such as category of first purchase, as important drivers of cross-buy. The impact of marketing efforts of the firm on cross-buy is also identified. The results of the study have important implications for academicians in understanding what drives cross-buying as well as practitioners to help design more effective cross-selling strategies.

Suggested Citation

  • Kumar, V. & George, Morris & Pancras, Joseph, 2008. "Cross-buying in retailing: Drivers and consequences," Journal of Retailing, Elsevier, vol. 84(1), pages 15-27.
    • Handle: RePEc:eee:jouret:v:84:y:2008:i:1:p:15-27
    DOI: 10.1016/j.jretai.2008.01.007
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    References listed on IDEAS

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    1. Füsun F. Gönül & Frenkel Ter Hofstede, 2006. "How to Compute Optimal Catalog Mailing Decisions," Marketing Science, INFORMS, vol. 25(1), pages 65-74, 01-02.
    2. Füsun Gönül & Meng Ze Shi, 1998. "Optimal Mailing of Catalogs: A New Methodology Using Estimable Structural Dynamic Programming Models," Management Science, INFORMS, vol. 44(9), pages 1249-1262, September.
    3. Manuel Becerra & Anil K. Gupta, 2003. "Perceived Trustworthiness Within the Organization: The Moderating Impact of Communication Frequency on Trustor and Trustee Effects," Organization Science, INFORMS, vol. 14(1), pages 32-44, February.
    4. Kumar, V. & Karande, Kiran, 2000. "The Effect of Retail Store Environment on Retailer Performance," Journal of Business Research, Elsevier, vol. 49(2), pages 167-181, August.
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