Churn Detection
Isara connects to your support platform and turns every AI agent conversation into a clear signal, so your team knows which customers need attention and why.
How Churn Prediction Works
Most platforms tell you how many conversations your AI handled. Isara tells you which ones damaged the relationship.
1. Real-Time Conversation Analysis
Every AI agent interaction is analysed in real time to detect sentiment, frustration, unresolved issues, and churn indicators. Your team gets a continuous stream of insight, not a lagging summary.
2. Pattern Recognition & Scoring
Behavioural shifts, escalation trends, and transaction failures are combined into risk scores built on verified churn outcomes. Clear, prioritised, and ready to act on.
3. Risk Level Classification
Every customer is automatically classified into a risk tier, Critical, High, Medium, or Low, with the specific reasons documented. Your team knows who to contact, what to address, and how urgently.
4. View & Act in Isara
One dashboard. Every at-risk customer. Root causes identified. And every intervention your team makes feeds back into Isara, making future risk detection sharper over time.
Churn Risk Indicators We Track
Isara monitors dozens of signals across behavioral, transactional, and conversational dimensions
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
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 the customers who need attention most. Clear risk data means your team spends time where it has the highest impact.
Root Cause Analysis
Understand exactly why a customer is at risk, whether that is a product gap, a support experience issue, or a conversation that needed a different resolution. Fix the right problem.
Predictive Analytics
Leverage machine learning models trained on millions of support interactions to identify patterns humans might miss, continuously improving accuracy.
Early Warning System
Churn signals appear 30 to 60 days before customers leave. In regulated sectors such as insurance, consumer finance, and telecoms, catching those signals early is often the difference between retention and revenue loss.
AI-Powered Recommendations
Receive personalised retention strategies for each at-risk customer based on their specific issues, history, and similar successful interventions.
Continuous Improvement Loop
Every case your team reviews and every intervention that works feeds back into Isara. Your AI agent deployment improves with every conversation, not just when you next have time to review it manually.
Stop Losing Customers to Preventable Churn
Join leading customer success teams using AI to predict and prevent churn before it happens