ds-churn-signals

Identify at-risk accounts by analyzing Stripe subscription data like active subscriptions, cancellations, and failed charges. This process applies risk scoring across 60–90 day windows to surface churn risk tiers for targeted interventions.

Calculate MRR-at-risk by evaluating failed charges and canceled subscriptions within your Stripe data. This analysis quantifies the monthly recurring revenue exposed to churn and segments accounts into tiered red, amber, and green alerts.

Churn risk scoring works by applying deterministic processing to current and prior 60–90 days of Stripe subscription data. It categorizes active subscriptions into red, amber, or green tiers based on signals like failed charges and cancellations.

Yes, you can apply optional usage metrics alongside Stripe subscription data for churn signal analysis. Combining these data sources enhances the detection of risk tiers and generates more accurate structured outreach recommendations.

Outreach recommendations provide concrete next steps for targeted interventions based on detected churn signals. These structured suggestions help retention analysts proactively engage at-risk accounts identified through Stripe subscription data.