Promotion Targeting

Promotion Targeting is a data-driven decision framework within retail analytics that identifies and prioritizes specific customer segments or stores for promotional offers based on predictive models of responsiveness and incremental lift, distinguishing it from broad promotional strategies by its precise, individualized allocation of marketing interventions.

82

Publications

5.3K

Citations

219

Authors

130

Institutions

Publications per year

2017–2026

26

Authors

219

  1. XL
    Xueming Luo

    Temple University, United States

    8 publications · 1.2K citations

    8

    h-index

  2. NM
    Nathan M. Fong

    Temple University, United States

    3 publications · 380 citations

    3

    h-index

  3. DV
    Dirk Van den Poel

    Ghent University, Belgium

    3 publications · 78 citations

    3

    h-index

  4. JZ
    Jacob Zahavi

    Tel Aviv University, Israel

    3 publications · 170 citations

    3

    h-index

  5. XW
    Xiaoyi Wang

    Zhejiang University, China

    3 publications · 266 citations

    3

    h-index

1–5 of 219

Venues

  1. Journal of Marketing Research

    7 publications · 1K citations

    7

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 49 citations

    4

    h-index

  3. Journal of Retailing and Consumer Services

    4 publications · 121 citations

    4

    h-index

  4. Marketing Science

    4 publications · 1K citations

    4

    h-index

  5. Journal of Business Research

    JBR · 3 publications · 277 citations

    3

    h-index

1–5