Personalized Promotion Optimization

Personalized Promotion Optimization is a data-driven decision-making framework within personalization analytics that systematically tailors promotional strategies to individual user characteristics and behaviors to maximize engagement, conversion, or revenue outcomes.

8

Publications

508

Citations

23

Authors

20

Institutions

Publications per year

2017–2026

6

Authors

23

  1. SB
    Setareh Borjian Boroujeni

    Massachusetts Institute of Technology, United States

    2 publications · 42 citations

    2

    h-index

  2. TC
    Tamar Cohen-Hillel

    Ross School, United States

    2 publications · 42 citations

    2

    h-index

  3. GP
    Georgia Perakis

    Massachusetts Institute of Technology, United States

    2 publications · 42 citations

    2

    h-index

  4. LB
    Lennart Baardman

    University of Michigan, United States

    2 publications · 42 citations

    2

    h-index

  5. KP
    Kiran Panchamgam

    Oracle (United States), United States

    2 publications · 42 citations

    2

    h-index

1–5 of 23

Venues

  1. Marketing Science

    1 publications · 212 citations

    1

    h-index

  2. Information Systems Research

    ISR · 1 publications · 84 citations

    1

    h-index

  3. Electronic Commerce Research and Applications

    1 publications · 14 citations

    1

    h-index

  4. Operations Research

    1 publications · 25 citations

    1

    h-index

  5. Journal of Retailing and Consumer Services

    1 publications · 37 citations

    1

    h-index

1–5