Cross-device Conversion Analysis

Cross-Device Conversion Analysis is a methodological framework within conversion analysis that specifically enables the tracking, attribution, and evaluation of user conversion pathways across multiple distinct devices, distinguishing itself by addressing the fragmentation of user behavior in cross-device environments through identity resolution and session stitching techniques.

3

Publications

311

Citations

11

Authors

5

Institutions

Publications per year

2017–2026

3

Authors

11

  1. PC
    Peter C. Verhoef

    University of Groningen, Netherlands

    1 publications · 186 citations

    1

    h-index

  2. PK
    P.K. Kannan

    University of Maryland, College Park, United States

    1 publications · 186 citations

    1

    h-index

  3. CK
    Christopher Kaatz

    University of Rostock, Germany

    1 publications · 41 citations

    1

    h-index

  4. CB
    Christian Brock

    University of Rostock, Germany

    1 publications · 41 citations

    1

    h-index

  5. AA
    Aaron Alva

    Federal Trade Commission, United States

    1 publications · 84 citations

    1

    h-index

1–5 of 11

Venues

  1. Journal of Retailing and Consumer Services

    1 publications · 41 citations

    1

    h-index

  2. Proceedings on Privacy Enhancing Technologies

    PoPETs · 1 publications · 84 citations

    1

    h-index

  3. Journal of Marketing

    JM · 1 publications · 186 citations

    1

    h-index

1–3