Retargeting Optimization

Retargeting Optimization is a methodological framework within Conversion Rate Optimization that systematically enhances the efficacy of digital advertising campaigns by refining audience segmentation, personalization, and bidding strategies for users who have previously interacted with a website or application.

5

Publications

142

Citations

12

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

12

  1. JK
    Jun-Seong Kim

    Korea University, South Korea

    2 publications · 75 citations

    2

    h-index

  2. JH
    Jin Hwan Kim

    Hallym University, South Korea

    2 publications · 75 citations

    2

    h-index

  3. CK
    Chang‐Su Kim

    Korea University, South Korea

    2 publications · 75 citations

    2

    h-index

  4. JM
    J. Miguel Villas‐Boas

    University of California, Berkeley, United States

    1 publications · 23 citations

    1

    h-index

  5. YY
    Yunfei Yao

    University of California, Berkeley, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 12

Venues

  1. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 2 publications · 75 citations

    2

    h-index

  2. Expert Systems with Applications

    1 publications · 12 citations

    1

    h-index

  3. The Visual Computer

    1 publications · 32 citations

    1

    h-index

  4. Marketing Science

    1 publications · 23 citations

    1

    h-index

  5. Bioconjugate Chemistry

    1 publications · 15 citations

1–5