Member Profiling

Member Profiling is a systematic method within membership management that involves the construction of detailed, data-driven representations of individual members based on demographic, behavioral, and psychographic attributes to enable personalized engagement and targeted service delivery.

5

Publications

106

Citations

25

Authors

12

Institutions

Publications per year

2017–2026

2

Authors

25

  1. WH
    William H. Parker

    University of California, Los Angeles, United States

    1 publications · 15 citations

    1

    h-index

  2. CR
    Chris Riccomini

    LinkedIn (United States), United States

    1 publications · 24 citations

    1

    h-index

  3. AS
    Alexander Smirnov

    St. Petersburg Institute for Informatics and Automation, Russia

    1 publications · 10 citations

    1

    h-index

  4. RS
    Roshan Sumbaly

    LinkedIn (United States), United States

    1 publications · 24 citations

    1

    h-index

  5. JM
    Jordan M. Phillips

    University of North Carolina at Chapel Hill, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 25

Venues

  1. 1

    h-index

  2. Procedia Technology

    1 publications · 10 citations

    1

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 24 citations

    1

    h-index

  4. Computers in Human Behavior

    1 publications · 46 citations

    1

    h-index

1–4