Churn Prediction Framework
Identify at-risk customers before they cancel. This framework helped our clients reduce churn by 20-35% on average.
What You'll Get
Weighted scoring model based on usage, engagement, support tickets, and payment history
Data points that predict churn 30-60 days before it happens (not lagging indicators)
Segment customers into High/Medium/Low risk buckets for targeted intervention
Specific actions to take for each risk segment (emails, outreach, offers)
Track retention by signup cohort to identify trends and test interventions
Email sequences to re-engage churned customers (15-25% reactivation rate)
Learn WHY customers churn and fix root causes (not just treat symptoms)
Executive dashboard to track churn metrics and intervention effectiveness
What Our Clients Achieved
Churn reduction (B2B SaaS)
Saved ARR in first year
Average warning before churn
Get the Churn Prediction Framework
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