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The Effects of Free Sample Promotions on Incremental Brand Sales

Author

Listed:
  • Kapil Bawa

    (Zicklin School of Business, Baruch College, One Baruch Way, New York, New York 10010)

  • Robert Shoemaker

    (Stern School of Business, New York University, 44 West 4th St., New York, New York 10012)

Abstract

The authors present a model of free sample effects and evidence from two field experiments on free samples. The model incorporates three potential effects of free samples on sales: (1) an acceleration effect, whereby consumers begin repeat purchasing of the sampled brand earlier than they otherwise would; (2) a cannibalization effect, which reduces the number of paid trial purchases of the brand; and (3) an expansion effect, which induces purchasing by consumers who would not consider buying the brand without a free sample. The empirical findings suggest that, unlike other consumer promotions such as coupons, free samples can produce measurable long-term effects on sales that can be observed as much as 12 months after the promotion. The data also show that the effectiveness of free sample promotions can vary widely, even between brands in the same product category. Application of the model to the data from the two experiments reveals that the magnitude of acceleration, cannibalization, and expansion effects varies substantially across the two free sample promotions. These and other findings suggest that the model can be a useful tool for obtaining insights into the nature of free sample promotions.

Suggested Citation

  • Kapil Bawa & Robert Shoemaker, 2004. "The Effects of Free Sample Promotions on Incremental Brand Sales," Marketing Science, INFORMS, vol. 23(3), pages 345-363, November.
    • Handle: RePEc:inm:ormksc:v:23:y:2004:i:3:p:345-363
    DOI: 10.1287/mksc.1030.0052
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    References listed on IDEAS

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    1. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    2. J. Miguel Villas-Boas, 2004. "Consumer Learning, Brand Loyalty, and Competition," Marketing Science, INFORMS, vol. 23(1), pages 134-145, December.
    3. P. B. Seetharaman, 2004. "Modeling Multiple Sources of State Dependence in Random Utility Models: A Distributed Lag Approach," Marketing Science, INFORMS, vol. 23(2), pages 263-271, April.
    4. Amir Heiman & Bruce McWilliams & Zhihua Shen & David Zilberman, 2001. "Learning and Forgetting: Modeling Optimal Product Sampling Over Time," Management Science, INFORMS, vol. 47(4), pages 532-546, April.
    5. Chakravarthi Narasimhan, 1984. "A Price Discrimination Theory of Coupons," Marketing Science, INFORMS, vol. 3(2), pages 128-147.
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