Go beyond basic demographics. Use advanced clustering algorithms and RFM analysis to identify meaningful customer segments and track how they evolve over time.
Automatically group customers based on behavior, purchase history, and demographics using unsupervised learning.
Segment based on Recency, Frequency, and Monetary value to identify your most valuable customers and those at risk of churn.
Monitor how customer segments change over time. See how marketing campaigns move users from "At Risk" to "Loyal".