Conversion Rate Optimization

Conversion Rate Optimization is an analytical and experimental process in digital marketing that systematically uses user and performance data to design, test, and implement changes to digital interfaces with the objective of increasing the proportion of visitors who complete predefined conversion actions.

19

Publications

655

Citations

70

Authors

30

Institutions

Publications per year

2017–2026

12

Authors

70

  1. MB
    Myles Brundage

    Sentient Science (United States), United States

    2 publications · 44 citations

    2

    h-index

  2. NI
    Neil Iscoe

    Sentient Science (United States), United States

    2 publications · 44 citations

    2

    h-index

  3. CS
    Cory Schoolland

    Sentient Science (United States), United States

    2 publications · 44 citations

    2

    h-index

  4. AS
    Aaron Shagrin

    The University of Texas at Austin, United States

    2 publications · 44 citations

    2

    h-index

  5. GL
    Gurmeet Lamba

    The University of Texas at Austin, United States

    2 publications · 44 citations

    2

    h-index

1–5 of 70

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 68 citations

    3

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Journal of Business Research

    JBR · 1 publications · 99 citations

    1

    h-index

  5. Electronic Markets

    EM · 1 publications · 65 citations

    1

    h-index

1–5