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Promotions and Patterns of Grocery Shopping Time

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  • Cremers, Emily
  • Chiang, Jeongwen
  • Chung, C. F.

Abstract

The histograms of interpurchase times for frequently purchased packagedgoods have consistently shown pronounced seven-day cycles. Evidence supports that theweekly spike phenomenon is the result of consumers' regular shopping trip schedules. Weexplore the implications of this peculiar regularity on the issue of consumer purchase timingacceleration. Data for ® ve product categories are examined. Promotions are found to havelittle eþ ect in accelerating purchase timing. In contrast, conventional interpurchase timemodels are shown to overstate the eþ ect of promotions.

Suggested Citation

  • Cremers, Emily & Chiang, Jeongwen & Chung, C. F., 2001. "Promotions and Patterns of Grocery Shopping Time," Staff General Research Papers Archive 34863, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:34863
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    1. Fred S. Zufryden, 1978. "An Empirical Evaluation of a Composite Heterogeneous Model of Brand Choice and Purchase Timing Behavior," Management Science, INFORMS, vol. 24(7), pages 761-773, March.
    2. Dipak C. Jain & Naufel J. Vilcassim, 1991. "Investigating Household Purchase Timing Decisions: A Conditional Hazard Function Approach," Marketing Science, INFORMS, vol. 10(1), pages 1-23.
    3. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
    4. R. Dunn & S. Reader & N. Wrigley, 1983. "An Investigation of the Assumptions of the Nbd Model as Applied to Purchasing at Individual Stores," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 32(3), pages 249-259, November.
    5. Abel P. Jeuland & Frank M. Bass & Gordon P. Wright, 1980. "A Multibrand Stochastic Model Compounding Heterogeneous Erlang Timing and Multinomial Choice Processes," Operations Research, INFORMS, vol. 28(2), pages 255-277, April.
    6. A. S. C. Ehrenberg, 1959. "The Pattern of Consumer Purchases," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 8(1), pages 26-41, March.
    7. Scott A. Neslin & Caroline Henderson & John Quelch, 1985. "Consumer Promotions and the Acceleration of Product Purchases," Marketing Science, INFORMS, vol. 4(2), pages 147-165.
    8. Kristiaan Helsen & David C. Schmittlein, 1993. "Analyzing Duration Times in Marketing: Evidence for the Effectiveness of Hazard Rate Models," Marketing Science, INFORMS, vol. 12(4), pages 395-414.
    9. Jeongwen Chiang, 1995. "Competing Coupon Promotions and Category Sales," Marketing Science, INFORMS, vol. 14(1), pages 105-122.
    10. Brian Gould, 1997. "Consumer promotion and purchase timing: the case of cheese," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 445-457.
    11. Donald G. Morrison & David C. Schmittlein, 1981. "Predicting Future Random Events Based on Past Performance," Management Science, INFORMS, vol. 27(9), pages 1006-1023, September.
    12. Gonul, F. & Srinivasan, K., 1993. "Consumer Purchase Behavior in a frequently Bought Product Category: Estimation Issues and Managerial Insights from a Hazard Function Model with Heterogeneity," University of Chicago - Economics Research Center 93-1, Chicago - Economics Research Center.
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    Cited by:

    1. Kuchler, Fred & Tegene, Abebayehu, 2006. "Did Bse Announcements Reduce Beef Purchases?," Economic Research Report 7251, United States Department of Agriculture, Economic Research Service.
    2. G Baltas, 2005. "Modelling category demand in retail chains," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1258-1264, November.
    3. Marko Sarstedt & Sebastian Scharf & Alexander Thamm & Michael Wolff, 2010. "Die Prognose von Serviceintervallen mit der Hazard-Raten-Analyse – Ergebnisse einer empirischen Studie im Automobilmarkt," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 20(3), pages 269-283, April.
    4. Govert Bijwaard, 2010. "Regularity in individual shopping trips: implications for duration models in marketing," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1931-1945.
    5. Youngsoo Kim & Ramayya Krishnan, 2019. "The Dynamics of Online Consumers’ Response to Price Promotion," Service Science, INFORMS, vol. 30(1), pages 175-190, March.

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