This series, which began with 541,909 rows of purchase data, has finally reached its final installment. In the first installment, we viewed 4,338 customers as three "clusters" using RFM and K-Means.
An end-to-end E-Commerce Finance Analytics pipeline converting raw transactional data into KPIs and visual insights.
Scoring — each metric scored 1–5 by quintile, combined into a 3-digit RFM code (e.g. 543). Segmentation — each RFM code mapped to one of 11 named segments using the provided RFM_Table.xlsx lookup (all ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results