Conversion Optimization

Conversion Optimization is a data-driven social media marketing process that systematically tests and refines platform content, interface elements, and interaction flows to increase the proportion of social media users who complete predefined target actions (conversions).

57

Publications

2K

Citations

176

Authors

71

Institutions

Publications per year

2017–2026

28

Authors

176

  1. AH
    Andrew Hatch

    Yahoo (United States), United States

    3 publications · 108 citations

    3

    h-index

  2. MA
    Mohamed Aly

    California Institute of Technology, United States

    3 publications · 105 citations

    3

    h-index

  3. BC
    Bo Cheng

    University of North Carolina at Chapel Hill, United States

    2 publications · 242 citations

    2

    h-index

  4. AR
    Adwait Ratnaparkhi

    Yahoo (United States), United States

    2 publications · 64 citations

    2

    h-index

  5. NC
    Nicolò Cesa‐Bianchi

    University of Milan, Italy

    2 publications · 102 citations

    2

    h-index

1–5 of 176

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 68 citations

    3

    h-index

  2. Journal of Travel Research

    JTR · 2 publications · 67 citations

    2

    h-index

  3. Machine Learning

    2 publications · 102 citations

    2

    h-index

  4. Preprints.org

    Repository · 1 publications · 11 citations

    1

    h-index

  5. Information Systems Research

    ISR · 1 publications · 72 citations

    1

    h-index

1–5