Use Case

Predict and prevent customer churn

AI identifies at-risk customers before they cancel. Get early warnings and suggested retention actions to save accounts proactively.

Churn happens silently

Customers cancel for many reasons. Failed payments, poor engagement, price sensitivity. Retriev predicts which customers are at risk and alerts you before they leave.

Payment failure patterns

Multiple failed payments in a row signal potential churn. AI flags these accounts immediately.

Engagement signals

Declining usage patterns often precede cancellation. The model learns what engagement drop-off looks like.

Proactive alerts

Get notified when a customer enters a high-risk state. Suggested actions help you intervene effectively.

Enterprise Plan — $299/mo
High Risk
CHURN INDICATORS
Payment failures (30 days) 3
Last login 14 days ago
Feature usage -67% vs avg
AI RECOMMENDATION
Send personalized retention email offering annual billing discount. Schedule follow-up call with account manager.
23%
Customers flagged early
67%
Saved with intervention
$4,200
Avg revenue saved per alert

How churn prediction works

The AI model learns from your customer data to identify patterns that lead to cancellation.

1

Ingest customer signals

Payment history, engagement metrics, support tickets, feature usage — all fed into the model.

2

Identify risk patterns

The AI learns which combinations of signals predict churn. Multiple failed payments plus declining usage equals high risk.

3

Alert and recommend

When a customer crosses the risk threshold, you get an alert with specific recommendations for intervention.

Stop churn before it happens

AI-powered churn prediction identifies at-risk customers and suggests retention actions.