Personalization Analytics

Personalization Analytics is a subfield of customer and marketing analytics that employs customer-level data and quantitative methods (e.g., statistical modeling, machine learning, and experimentation) to design, implement, and evaluate individualized marketing offers, messages, and experiences across touchpoints.

183

Publications

11.1K

Citations

558

Authors

245

Institutions

Publications per year

2017–2026

81

Authors

558

  1. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    5 publications · 195 citations

    5

    h-index

  2. QL
    Qiudan Li

    Chinese Academy of Sciences, China

    3 publications · 256 citations

    3

    h-index

  3. PM
    Prasant Mohapatra

    University of California, Davis, United States

    3 publications · 244 citations

    3

    h-index

  4. AM
    Anirban Mahanti

    Data61, Australia

    3 publications · 244 citations

    3

    h-index

  5. SS
    Suranga Seneviratne

    Data61, Australia

    3 publications · 244 citations

    3

    h-index

1–5 of 558

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 391 citations

    9

    h-index

  2. Decision Support Systems

    5 publications · 573 citations

    5

    h-index

  3. Expert Systems with Applications

    4 publications · 204 citations

    4

    h-index

  4. Journal of Direct Marketing

    JDM · 3 publications · 170 citations

    3

    h-index

  5. Journal Of Big Data

    2 publications · 375 citations

    2

    h-index

1–5