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Feature Article—Aggregate Advertising Models: The State of the Art

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  • John D. C. Little

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

Abstract

Aggregate advertising models relate product sales to advertising spending for a market as a whole. Although many models have been built, they frequently contradict each other and considerable doubt exists as to which models best represent advertising processes. An increasingly rich literature of empirical studies helps resolve these issues by revealing major advertising phenomena that models should encompass. These include sales responding upward and downward at different rates, steady state response that can be concave or S-shaped and can have positive sales at zero advertising, sales affected by competitive advertising; and advertising dollar effectiveness that can change over time. A review of aggregate models developed on a priori grounds brings out similarities and differences among those of Vidale and Wolfe, Nerlove and Arrow, Little, and others and identifies ways in which the models agree or disagree with observed phenomena. A Lanchester-motivated structure generalizes many features of these models and conforms to some but not all of the empirical observations. Although econometric studies have revealed important empirical insights, the most frequently used structural forms do not model certain key phenomena, most notably different rise and decay rates. Future work must join better models with more powerful calibration methods.

Suggested Citation

  • John D. C. Little, 1979. "Feature Article—Aggregate Advertising Models: The State of the Art," Operations Research, INFORMS, vol. 27(4), pages 629-667, August.
  • Handle: RePEc:inm:oropre:v:27:y:1979:i:4:p:629-667
    DOI: 10.1287/opre.27.4.629
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    Cited by:

    1. Blattberg, Robert C. & Malthouse, Edward C. & Neslin, Scott A., 2009. "Customer Lifetime Value: Empirical Generalizations and Some Conceptual Questions," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 157-168.
    2. Javier Marin, 2024. "Social Dynamics of Consumer Response: A Unified Framework Integrating Statistical Physics and Marketing Dynamics," Papers 2404.02175, arXiv.org, revised Nov 2024.

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