ChurnShield – Predictive Customer Churn Model

Platforms

Web Dashboard, API (for CRM/CDP), Braze, Salesforce, Snowflake (Data Warehouse)

Service

ML Model Development, Behavioral Analytics, Retention Campaign Design, CRM Integration, Dashboard

Project Timeline

5 Months (Data Pipeline → Model Training → Campaign Design → Integration → Optimization)

Increased in ROI revenue

→ 38% reduction in monthly churn
→ 22% increase in at-risk user recovery
→ $1.8M ARR saved annually for mid-sized SaaS
→ 4.5/5 CSM satisfaction with tool

ChurnShield analyzes user behavior (logins, feature usage, support tickets), billing data, and sentiment (NPS, reviews) to predict churn risk (Low/Med/High). High-risk users trigger automated retention campaigns:

  • Email: “We miss you! Here’s a personalized tutorial.”
  • In-app: “Stuck? Book a free 1:1 onboarding.”
  • SMS: “Your favorite feature is back! Try it now.”
    Model retrained weekly. Integrates with Braze + Salesforce. Dashboard shows “Churn Risk Score” per account for CSMs.

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