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Frequency Versus Depth: How Changing the Temporal Process of Promotions Impacts Demand for a Storable Good

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  • Matthew Osborne

    (University of Toronto)

Abstract

Is changing the frequency at which promotions are offered more or less effective at increasing quantity and revenue than changing promotional depth? To answer this question, a forward-looking dynamic structural model of consumer stockpiling behaviour is estimated using scanner data for a storable product category. Counterfactual simulations from the model imply that although increasing promotional frequency and depth are both effective tools for increasing quantity sold and revenue, increasing the depth of discounts is a more effective strategy per dollar spent on promotions. Increasing depth while decreasing frequency is even more effective than increasing depth on its own.

Suggested Citation

  • Matthew Osborne, 2018. "Frequency Versus Depth: How Changing the Temporal Process of Promotions Impacts Demand for a Storable Good," The Japanese Economic Review, Springer, vol. 69(3), pages 258-283, September.
  • Handle: RePEc:spr:jecrev:v:69:y:2018:i:3:d:10.1111_jere.12190
    DOI: 10.1111/jere.12190
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    References listed on IDEAS

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    1. Hong, Pilky & McAfee, R. Preston & Nayyar, Ashish, 2002. "Equilibrium Price Dispersion with Consumer Inventories," Journal of Economic Theory, Elsevier, vol. 105(2), pages 503-517, August.
    2. Thierry Magnac & David Thesmar, 2002. "Identifying Dynamic Discrete Decision Processes," Econometrica, Econometric Society, vol. 70(2), pages 801-816, March.
    3. Rishin Roy & Pradeep K. Chintagunta & Sudeep Haldar, 1996. "A Framework for Investigating Habits, “The Hand of the Past,” and Heterogeneity in Dynamic Brand Choice," Marketing Science, INFORMS, vol. 15(3), pages 280-299.
    4. Joel Sobel, 1984. "The Timing of Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 353-368.
    5. Alba, Joseph W, et al, 1999. "The Effect of Discount Frequency and Depth on Consumer Price Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(2), pages 99-114, September.
    6. Baohong Sun, 2005. "Promotion Effect on Endogenous Consumption," Marketing Science, INFORMS, vol. 24(3), pages 430-443, July.
    7. Tülin Erdem & Susumu Imai & Michael Keane, 2003. "Brand and Quantity Choice Dynamics Under Price Uncertainty," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 5-64, March.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    9. Kusum L. Ailawadi & Bari A. Harlam, 2009. "—Retailer Promotion Pass-Through: A Measure, Its Magnitude, and Its Determinants," Marketing Science, INFORMS, vol. 28(4), pages 782-791, 07-08.
    10. Ashok K. Lalwani & Kent B. Monroe, 2005. "A Reexamination of Frequency-Depth Effects in Consumer Price Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(3), pages 480-485, December.
    11. Martin Pesendorfer, 2002. "Retail Sales: A Study of Pricing Behavior in Supermarkets," The Journal of Business, University of Chicago Press, vol. 75(1), pages 33-66, January.
    12. Tülin Erdem, 1996. "A Dynamic Analysis of Market Structure Based on Panel Data," Marketing Science, INFORMS, vol. 15(4), pages 359-378.
    13. Matthew Osborne, 2011. "Consumer learning, switching costs, and heterogeneity: A structural examination," Quantitative Marketing and Economics (QME), Springer, vol. 9(1), pages 25-70, March.
    14. Andriy Norets, 2009. "Inference in Dynamic Discrete Choice Models With Serially orrelated Unobserved State Variables," Econometrica, Econometric Society, vol. 77(5), pages 1665-1682, September.
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    Cited by:

    1. Nelson Borges Amaral & Bin Chang & Rachel Burns, 2022. "Understanding consumer stockpiling: Insights provided during the COVID‐19 pandemic," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 211-236, March.

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    Keywords

    M31; C61;

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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