Digital Donor Segmentation

Digital Donor Segmentation is a methodological framework within digital fundraising that classifies donors into distinct groups based on shared behavioral, demographic, or transactional characteristics derived from digital interaction data to enhance targeted engagement and donation conversion.

5

Publications

112

Citations

13

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

13

  1. YL
    Yu‐Da Lin

    I-Shou University, Taiwan

    1 publications · 18 citations

    1

    h-index

  2. CH
    Chiung–Wen Hsu

    Feng Chia University, Taiwan

    1 publications · 18 citations

    1

    h-index

  3. MM
    Mohamed M. Mostafa

    Gulf University for Science & Technology, Kuwait

    1 publications · 15 citations

    1

    h-index

  4. JD
    Josefa D. Martín‐Santana

    Universidad de Las Palmas de Gran Canaria, Spain

    1 publications · 20 citations

    1

    h-index

  5. RL
    Ramón L. Torres

    Illinois Institute of Technology, United States

    1 publications · 30 citations

    1

    h-index

1–5 of 13

Venues

  1. Vox Sanguinis

    1 publications · 20 citations

    1

    h-index

  2. Expert Systems with Applications

    1 publications · 15 citations

    1

    h-index

  3. Journal of Interactive Marketing

    JIM · 1 publications · 30 citations

    1

    h-index

  4. IEEE Access

    1 publications · 18 citations

    1

    h-index

  5. Journal of the Association for Information Systems

    JAIS · 1 publications · 29 citations

    1

    h-index

1–5