Digital Audience Profiling

Digital Audience Profiling is a systematic method within audience segmentation that identifies and characterizes user groups based on digital behavioral data, online interactions, and socio-demographic indicators derived from digital footprints to enable targeted content delivery, personalized communication, and precise audience engagement in online environments.

11

Publications

264

Citations

28

Authors

13

Institutions

Publications per year

2017–2026

9

Authors

28

  1. NN
    Nico Neumann

    Northwestern University, United States

    2 publications · 93 citations

    2

    h-index

  2. CE
    Catherine E. Tucker

    Massachusetts Institute of Technology, United States

    2 publications · 93 citations

    2

    h-index

  3. TW
    Timothy W. Whitfield

    Scripps Research Institute, United States

    2 publications · 93 citations

    2

    h-index

  4. SJ
    Soon‐gyo Jung

    Hamad bin Khalifa University, Qatar

    1 publications · 26 citations

    1

    h-index

  5. JS
    Joni Salminen

    Hamad bin Khalifa University, Qatar

    1 publications · 26 citations

    1

    h-index

1–5 of 28

Venues

  1. Marketing Science

    1 publications · 76 citations

    1

    h-index

  2. International Journal of Electronic Commerce

    IJEC · 1 publications · 29 citations

    1

    h-index

  3. PLoS Currents

    1 publications · 13 citations

    1

    h-index

  4. Annals of Tourism Research

    1 publications · 36 citations

    1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 17 citations

    1

    h-index

1–5