Audience Behavior Analysis

Audience Behavior Analysis is a methodological framework within website traffic analysis that systematically examines user interaction patterns, navigation paths, and engagement metrics to infer motivations, preferences, and decision-making processes underlying online audience conduct.

130

Publications

5.8K

Citations

324

Authors

190

Institutions

Publications per year

2017–2026

35

Authors

324

  1. TH
    Tad Hogg

    Palo Alto Research Center, United States

    3 publications · 82 citations

    3

    h-index

  2. TM
    Tsuyoshi Murata

    Tokyo Institute of Technology, Japan

    3 publications · 82 citations

    3

    h-index

  3. JG
    James G. Webster

    Northwestern University, United States

    2 publications · 110 citations

    2

    h-index

  4. MA
    Matthew Arnold

    IBM (United States), United States

    2 publications · 130 citations

    2

    h-index

  5. GS
    Gary Sevitsky

    IBM (United States), United States

    2 publications · 130 citations

    2

    h-index

1–5 of 324

Venues

  1. 4

    h-index

  2. Marketing Science

    4 publications · 360 citations

    4

    h-index

  3. Journal of Interactive Advertising

    3 publications · 120 citations

    3

    h-index

  4. Journal of Broadcasting & Electronic Media

    3 publications · 152 citations

    3

    h-index

  5. Digital Journalism

    2 publications · 131 citations

    2

    h-index

1–5