Marketing & Customer Experience
Identify churn risk, automated retention campaigns, smart win-back strategy.
Liona identifies customers at risk of churning based on behavior signals. Customer Retention runs automated retention campaigns (discounts, personal offers, check-ins). Marketing Automation sends win-back campaigns for customers who have already churned.
Built on LionaCX →
All use casesThe problem
Churn undetected, reactive retention, no win-back.
- Churn isn't detected early, intervention is too late.
- Reactive retention, only after customers have already churned.
- No win-back strategy for departed customers.
- Generic retention campaigns, not personal per customer.
How it works
- 1
Detect churn risk
Customer Analytics analyzes behavior signals, identifies at-risk customers.
- 2
Retention campaign
Customer Retention runs automated, personal retention campaigns (discounts, offers, check-ins).
- 3
Monitor & adjust
Customer Analytics monitors retention response, adjusts strategy based on effectiveness.
- 4
Win-back
Marketing Automation sends win-back campaigns to churned customers with relevant offers.
In use
Real deployments related to this use case.
Questions
What signals does the AI use to predict churn risk?
AI analyzes behavior signals: declining engagement (login, usage), declining purchase frequency, open complaints, negative sentiment in interactions, inactivity duration, and usage pattern changes. Each signal has different weight in the churn risk score.
Can retention campaigns be customized per customer?
Yes, retention campaigns are personalized based on churn risk score, purchase history, preferences, and detected churn reasons. E.g., customers churning due to price get discount offers, customers churning due to missing features get upgrade offers.