IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v27y1979i4p629-667.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.27.4.629
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.27.4.629?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:oropre:v:27:y:1979:i:4:p:629-667. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.