Predictive Customer Analytics

Predictive Customer Analytics is a data-driven analytical framework that distinguishes itself by employing statistical modeling and machine learning techniques to forecast individual customer behaviors, preferences, and future interactions based on historical and behavioral data.

201

Publications

12.5K

Citations

594

Authors

317

Institutions

Publications per year

2017–2026

129

Authors

594

  1. TR
    Thomas Reutterer

    Vienna University of Economics and Business, Austria

    3 publications · 136 citations

    3

    h-index

  2. DV
    Dirk Van den Poel

    Ghent University, Belgium

    3 publications · 193 citations

    3

    h-index

  3. MP
    Michael Platzer

    Vienna University of Economics and Business, Austria

    3 publications · 136 citations

    3

    h-index

  4. SM
    Sérgio Moro

    Iscte – Instituto Universitário de Lisboa, Portugal

    2 publications · 911 citations

    2

    h-index

  5. MK
    Marko Krema

    Accenture (Switzerland), Switzerland

    2 publications · 69 citations

    2

    h-index

1–5 of 594

Venues

  1. Expert Systems with Applications

    8 publications · 931 citations

    8

    h-index

  2. Decision Support Systems

    7 publications · 1.6K citations

    7

    h-index

  3. Journal of Business Research

    JBR · 4 publications · 437 citations

    4

    h-index

  4. Marketing Science

    3 publications · 586 citations

    3

    h-index

  5. 3

    h-index

1–5