Churn Risk
Churn risk detection helps you identify customers who are likely to stop doing business with you before they leave. Early intervention can recover at-risk customers and preserve revenue.
Risk Detection
Bookora analyzes multiple signals to detect churn risk:
Lapsed Booking Activity
Customers who have not booked in 60+ days are flagged as at-risk. The longer the gap, the higher the risk score.
Engagement Decline
A decrease in email opens, link clicks, or response rates indicates disengagement.
Negative Sentiment
AI analysis of conversation sentiment can detect dissatisfaction before it leads to churn.
Cancellation Pattern
A pattern of rescheduling or cancellations may indicate waning interest.
Warning Signals
Watch for these warning signals that indicate a customer may churn:
- No booking in 60+ days (previously active)
- Multiple cancellations or reschedules in a short period
- Decreased response to communications
- Negative feedback or complaints
- Downgrading or removing services
- Unsubscribing from emails or notifications
Risk Levels
Customer is engaged and active. Continue standard retention practices.
Customer shows early signs of disengagement. Take proactive action.
Customer is likely to churn. Immediate intervention required.
Recovery Actions
When a customer is flagged as at-risk, Bookora can automatically trigger recovery actions:
- Win-back email — Personalized email with a special offer to re-engage
- Discount offer — Time-limited discount to encourage a booking
- Personal outreach — Notify your team to make a personal call or message
- Feedback request — Ask why they have been less active
- Re-engagement sequence — Multi-step automated sequence to re-capture interest
Best Practice
Set up automated recovery workflows for medium and high-risk customers. The faster you respond to churn signals, the more likely you are to retain the customer.