Predict Churn Before It Happens
Transform support conversations into early warning signals. Identify at-risk customers with AI-powered analysis and take action before it's too late.
How Churn Prediction Works
Our AI continuously monitors support conversations to detect subtle signals of customer dissatisfaction
1. Real-Time Conversation Analysis
Every support interaction is analyzed in real-time using advanced NLP to detect sentiment, frustration levels, and specific churn indicators within the conversation context.
2. Pattern Recognition & Scoring
Our ML models identify patterns across multiple dimensions - behavioral changes, support frequency, escalation trends, and transaction issues - assigning risk scores based on historical churn data.
3. Risk Level Classification
Customers are automatically classified into risk tiers (Critical, High, Medium, Low) with specific reasons for their classification, enabling targeted intervention strategies.
4. View & Act in Isara
Access your churn risk dashboard in Isara to see all at-risk customers in one place. Review detailed risk factors, understand the root causes, and take immediate action with targeted retention strategies.
Cancellation Request
Customer explicitly requests cancellation or asks about the cancellation process
DIRECT INTENT
Response Time Decrease
Customer takes longer to respond to support agents, indicating disengagement
SUPPORT PATTERNS
Repetitive Complaints
Same issues raised multiple times without satisfactory resolution
SENTIMENT
Frustration Levels
AI-detected increase in frustration, anger, or negative sentiment in conversations
SENTIMENT
Downgrade Request
Customer inquires about or requests to move to a lower tier plan
DIRECT INTENT
Payment Failures
Increase in failed payments, expired cards, or transaction issues
TRANSACTIONAL
pCSAT Decline
Predicted customer satisfaction scores trending downward over time
METRICS
Contract Queries
Questions about cancellation policies, contract terms, or commitment periods
BEHAVIOURAL
Contact Frequency Spike
Sudden increase in support tickets indicating unresolved issues
SUPPORT PATTERNS
Escalation Increase
More frequent escalations to supervisors or higher support tiers
SUPPORT PATTERNS
Churn Risk Indicators We Track
Isara monitors dozens of signals across behavioral, transactional, and conversational dimensions
See Your Churn Risk Dashboard
Get a unified view of all at-risk customers with detailed insights and recommended actions
Why Teams Choose Isara's Churn Prediction
Precision Targeting
Focus retention efforts on customers most likely to churn, maximizing the impact of your success team's time and resources with data-driven prioritization.
Root Cause Analysis
Understand exactly why customers are at risk with detailed breakdowns of contributing factors, from product issues to support experience problems.
Predictive Analytics
Leverage machine learning models trained on millions of support interactions to identify patterns humans might miss, continuously improving accuracy.
Early Warning System
Detect churn signals 30-60 days before customers leave, giving your team ample time to implement targeted retention strategies and rebuild relationships.
AI-Powered Recommendations
Receive personalised retention strategies for each at-risk customer based on their specific issues, history, and similar successful interventions.
Stop Losing Customers to Preventable Churn
Join leading customer success teams using AI to predict and prevent churn before it happens