Multichannel Segmentation

Multichannel Segmentation is a segmentation analysis framework that integrates and analyzes data from multiple interaction channels—such as online, offline, mobile, and social platforms—to identify distinct consumer segments based on cross-channel behavioral patterns, thereby enabling a more comprehensive and unified understanding of customer heterogeneity compared to single-channel approaches.

34

Publications

2K

Citations

113

Authors

73

Institutions

Publications per year

2017–2026

14

Authors

113

  1. QY
    Qianye Yang

    University College London, United Kingdom

    3 publications · 191 citations

    3

    h-index

  2. YX
    Yan Xu

    Beihang University, China

    3 publications · 191 citations

    3

    h-index

  3. XF
    Xingyu Fan

    Chongqing University, China

    3 publications · 191 citations

    3

    h-index

  4. EC
    Eric Chang

    Microsoft Research Asia (China), China

    3 publications · 191 citations

    3

    h-index

  5. ZZ
    Zixu Zhao

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 191 citations

    3

    h-index

1–5 of 113

Venues

  1. Journal of Retailing and Consumer Services

    3 publications · 244 citations

    3

    h-index

  2. Scientific Reports

    2 publications · 221 citations

    2

    h-index

  3. 1

    h-index

  4. Computer Graphics Forum

    1 publications · 24 citations

    1

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 48 citations

    1

    h-index

1–5