Sales Response Functions

Sales Response Function is a mathematical model within marketing mix modeling that specifies the functional relationship between marketing efforts, such as advertising or promotion, and sales outcomes by quantifying the magnitude and dynamics of sales response to changes in marketing inputs.

80

Publications

5.2K

Citations

141

Authors

82

Institutions

Publications per year

2017–2026

1

Variants

Sales Response Function

Authors

141

  1. PS
    Paul Solomon

    University of North Carolina at Chapel Hill, United States

    5 publications · 262 citations

    5

    h-index

  2. RF
    Ronald F. Bush

    Louisiana State University, United States

    4 publications · 139 citations

    4

    h-index

  3. WJ
    Winfried J. Steiner

    Clausthal University of Technology, Germany

    4 publications · 159 citations

    4

    h-index

  4. JD
    John D. C. Little

    Massachusetts Institute of Technology, United States

    4 publications · 425 citations

    4

    h-index

  5. AB
    Andreas Brezger

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 144 citations

    3

    h-index

1–5 of 141

Venues

  1. Journal of Marketing Research

    22 publications · 1.3K citations

    18

    h-index

  2. Marketing Science

    7 publications · 849 citations

    7

    h-index

  3. Management Science

    7 publications · 317 citations

    7

    h-index

  4. Journal of Advertising

    4 publications · 194 citations

    4

    h-index

  5. Operations Research

    4 publications · 1.1K citations

    4

    h-index

1–5