Advertising Response Functions

Advertising Response Functions is a mathematical model that specifies the functional relationship between advertising expenditures and the resulting consumer response or market outcome within the context of advertising competition.

158

Publications

15.7K

Citations

255

Authors

149

Institutions

Publications per year

2017–2026

9

Authors

255

  1. GJ
    Gerard J. Tellis

    University of Southern California, United States

    6 publications · 1.2K citations

    6

    h-index

  2. HW
    Henry W. Kinnucan

    Auburn University, United States

    4 publications · 151 citations

    4

    h-index

  3. GS
    Gary Steiner

    University of Chicago, United States

    3 publications · 2.6K citations

    3

    h-index

  4. PT
    Pattana Thaivanich

    University of Minnesota, United States

    3 publications · 346 citations

    3

    h-index

  5. JK
    Johny K. Johansson

    Georgetown University, United States

    3 publications · 251 citations

    3

    h-index

1–5 of 255

Venues

  1. Journal of Marketing Research

    33 publications · 3.4K citations

    22

    h-index

  2. Marketing Science

    9 publications · 1.4K citations

    9

    h-index

  3. Management Science

    7 publications · 425 citations

    7

    h-index

  4. Journal of Marketing

    JM · 7 publications · 2.9K citations

    7

    h-index

  5. European Journal of Operational Research

    5 publications · 211 citations

    5

    h-index

1–5