Analytics
Analytics
Predictive RFM segmentation and customer lifetime value (LTV) projections.
Live ML active
How this works:RFM algorithms cluster accounts by Recency, Frequency, and Monetary velocity to forecast churn and trigger targeted outreach.
Analyzed accounts
1,430
Continuous RFM clustering
Champions cohort
342
arrow_upward342 accountsTop 24% of total revenue
High churn risk (At risk)
165
arrow_downwardNeeds action> 60 days inactivity
Projected LTV expansion
+$182,400
arrow_upward+$182.4kNext 12-month outlook
psychologyRecommended playbook
165 "At Risk" high-spend accounts are approaching churn inflection
Dispatching a proactive voice check-in and personalized offer increases retention by 44%.
Expected lifetime value (12-month outlook)
Loading predictive profiles...