Churn Signals
20+ churn signals to help you identify at-risk customers, improve retention, and protect your revenue.
Product Issues
Problems with the product’s functionality.
Cost Issues
Concerns about pricing or unexpected costs.
Support Issues
Unresolved or repeated support requests.
Decision-maker Left
Key contact or decision-maker has left the company.
Mass Layoffs
Mass layoffs suggest instability and potential disengagement.
ICP Not Matching Anymore
Customer no longer fits your Ideal Customer Profile criteria.
Poor User Experience
Product is hard to use or navigate.
Lack of Scalability
Product cannot grow with customer needs.
Low Activity After Subscription
Customers showing minimal engagement post-signup.
Implementation Time
Delayed setup or onboarding process.
Lack of Communication
Poor follow-ups or customer interactions.
Billing Errors
Issues with incorrect or delayed invoices.
Out of Business
Customer is no longer in operation.
No Leadership Connect
Lack of communication with decision-makers.
Usage Drop
Customers are using the product less frequently.
Over-usage Bill
High usage leading to extra charges.
Competitive Pricing
Customers perceive competitors as more affordable.
Lack of Integration
Difficulty connecting with other tools or systems.
Lack of Training
Customers not trained to use the product effectively.
Security Breach
Concerns about data security or compliance issues.
Lack of Customization
Product doesn’t meet specific customer needs.
Stop manual churn prediction—automate with UserMotion now
Frequently Asked Questions
What are churn signals?
Churn signals are behavioral or operational patterns that indicate a customer might stop using your product or service. Examples include reduced usage, billing issues, or negative feedback.
How to score churn signals?
Churn signals are scored based on their impact on customer retention. Each signal is assigned a value (e.g., -25, -50) depending on its severity and frequency, helping you prioritize actions.
How can you predict churn signals?
Predict churn signals by analyzing customer behavior patterns over time. UserMotion helps you monitor data points, apply predictive models, and receive real-time alerts to act before churn occurs.
How does UserMotion's churn prediction work?
Our Churn Prediction uses a special scoring system that looks at everything your customers do across your service. It spots hints that they might be thinking about leaving. Then, it tells you these hints so you can try to make those customers happy and keep them.