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Examples for Churn Risk Scoring Model Builder
Explore real-world examples showing how this skill works with different inputs and outputs.
Trial User Churn Risk Analysis
Analyzes 35 trial users with 3 behavioral metrics (days_active, features_used, support_tickets) to identify churn risk signals and score all users by risk level.
200-User SaaS Churn Model for CSM Outreach
Comprehensive churn risk scoring model for 200 SaaS users with 5 behavioral metrics, including activation thresholds, tier-specific intervention playbooks, and implementation roadmap.
Small Dataset Feasibility Analysis
Guidance on building a churn model with only 28 users (below the 30-user minimum), including statistical limitations, confidence thresholds, and alternative approaches.