Features / Churn Prevention

Churn Prevention

AI Churn Interventions & Order Notifications

Score risk, target interventions, and optimize order notification emails by customer journey.

AI Churn Interventions

We score each subscriber's churn risk from 1 to 100 and update daily. The Churn Risk Matrix (LTV × risk) shows who is at risk and how much they are worth—so you focus interventions on the priority cell: High Risk + High LTV.

The score is built from subscription behavior, payment history, engagement, and order patterns—so you see who is likely to cancel or go dormant before it happens. We refresh it daily so your team always has a current view.

The matrix puts risk and value side by side. High LTV + High Risk is where you get the best return: save those subscribers first with targeted outreach, win-back offers, or proactive support. Low LTV + High Risk lets you decide whether to invest in save flows or let go. We help you prioritize so effort goes to the right cells.

You can trigger flows from the matrix (emails, in-app messaging, or tasks for your team) and track how many at-risk subscribers you bring back. It turns churn prediction into a clear action plan instead of a long list of names.

Risk / Value Matrix
Low Risk
Med Risk
High Risk
High LTV
($500+)
347
412
389
Med LTV
($200–499)
2,059
742
584
Low LTV
(<$200)
44,716
21,240
9,365
Star = priority intervention target (High Risk + High LTV)
AI churn intervention in action
From prediction to action: target high-risk, high-LTV subscribers.

Revenue-at-Risk Radar

Order Notification Emails

Order notification emails are a major catalyst for churn when they are one-size-fits-all. We optimize them by user journey—what someone sees and when depends on where they are in the subscription lifecycle.

Did you know: A pause or skip before the 3rd order predicts churn. After the 3rd order, pause/skip tends to be protective.

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