Executive Churn Analytics
Subscribers risk insights, lifetime value optimization, and predictive metrics
Active Revenue Trend by Plan
Monthly Churn Trend by Account Age
Customer Segment Size Comparison
Plan-Level Subscriber & Churn Analysis
Revenue-at-Risk Distribution by Plan
Top High-Risk Premium Customers
| Customer ID | Monthly Charge | Age | Tickets | Risk |
|---|---|---|---|---|
| E7ET43WS22 | $16.56 | 21m | 9 | 83.6% |
| QBB2B3ZMJ9 | $19.99 | 1m | 8 | 83.6% |
| C1BXO7P37U | $19.14 | 2m | 9 | 82.8% |
| XHX9SNVIQ4 | $18.57 | 10m | 9 | 82.1% |
| 9X7PVS4I8N | $15.34 | 5m | 9 | 81.9% |
ML Model Global Feature Importance
Model SHAP Value Attributions
AI Executive Insights
Business Impact: Subscribers on the Basic tier churn 21% more than those on the Premium tier (19.7% vs 16.3%). Standard users churn at 18.4%.
Recommendation: Offer a 15% plan upgrade incentive during month 2 of the customer lifecycle.
Risk Exposure: Basic plan churn accounts for approximately $198,527/month of lost revenue potential.Business Impact: High-spending premium customers (Top 20% by charges) have an elevated churn rate of 21.6%, exceeding the platform average.
Recommendation: Establish a dedicated priority support queue and implement personalized genre recommendations.
Risk Exposure: Exposes $297k of monthly subscription revenue to high risk.Business Impact: Customer churn rate increases linearly with support ticket volume, rising from 13.4% at 0 tickets to 21.6% at 6+ tickets.
Recommendation: Implement proactive outreach by a dedicated resolution team once a customer logs 4+ tickets.
Risk Exposure: Identifies support contacts as signals of customer friction rather than successful resolution.Top Prescriptive Interventions
Deploy in-app messaging offering standard/basic users a $5 one-time credit to migrate their billing from manual check methods to credit card autopay.
Estimated ROI: Retains ~$18,500 MRR per 10k users.Route accounts logging 4+ support tickets per month directly to a specialized VIP customer retention team to address underlying tech bugs.
Estimated ROI: Reduces support cohort churn from 21.6% to 15.0%.Inject automated content recommendation widgets during the first 30 days of standard plans to get users to save 5+ items to their watchlist.
Estimated ROI: Drops early-lifecycle churn by 20% relative.