Retail Customer Analytics

Retail Customer Analytics is a methodological framework within retail customer relationship management that systematically employs data collection, statistical analysis, and modeling techniques to extract actionable insights from customer behaviors, preferences, and transaction patterns in order to optimize personalized marketing, enhance customer retention, and improve retail decision-making.

45

Publications

2.7K

Citations

122

Authors

76

Institutions

Publications per year

2017–2026

29

Authors

122

  1. SA
    Shahriar Akter

    University of Wollongong, Australia

    3 publications · 132 citations

    3

    h-index

  2. MA
    Md Afnan Hossain

    North South University, Bangladesh

    3 publications · 132 citations

    3

    h-index

  3. VY
    Venkata Yanamandram

    University of Wollongong, Australia

    3 publications · 132 citations

    3

    h-index

  4. AG
    Anastasia Griva

    Ollscoil na Gaillimhe – University of Galway, Ireland

    2 publications · 169 citations

    2

    h-index

  5. CB
    Cleopatra Bardaki

    Athens University of Economics and Business, Greece

    2 publications · 169 citations

    2

    h-index

1–5 of 122

Venues

  1. Journal of Retailing and Consumer Services

    5 publications · 292 citations

    5

    h-index

  2. Journal of Retailing

    3 publications · 627 citations

    3

    h-index

  3. Expert Systems with Applications

    2 publications · 336 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 50 citations

    2

    h-index

  5. Production and Operations Management

    POMS · 2 publications · 104 citations

    2

    h-index

1–5