Revenue-at-Risk Radar is built around a Churn Risk Matrix—subscribers grouped by lifetime value and churn risk—so you see who's at risk and how much they're worth before acting.
We score each subscriber's risk from 1 to 100 and update on a daily basis based on thousands of signals. We use machine learning algorithms to understand pre-churn behaviors and risk factors specific to your store. Over time, the algorithm improves to specifically understand your customers behavior.
Using this risk score, you can create targeted interventions for at-risk customers. The priority intervention target is High Risk + High LTV. Different interventions can be applied based on the risk level and lifetime value of each customer. Click any cell to see individual customers and move from the matrix to lists and campaigns. These interventions can then be deployed across channels to reduce churn and retain more customers.
Technical Risk
Why: expiring cards, prior declines, issuer quirks
Owner: Billing / RevOps
Action: smarter retries, payment method updates
Behavioral Risk
Why: engagement & usage dropping
Owner: Lifecycle / Retention
Action: education, nudges, frequency adjustments
Why: wrong cadence / wrong SKU / mismatched quantity
Owner: Merch / Product
Action: bundles, swaps, cadence reconfiguration
Why: promo dependence, price-reactive behavior
Owner: Marketing / Finance
Action: targeted incentives, non-monetary value adds
Why: shipping issues, inventory delays, CX friction
Owner: Ops / CX
Action: proactive comms, make-goods
Why: customers who only stay when discounted
Owner: Retention + Finance
Action: suppress saves, reallocate incentives
The Churn Risk Matrix shows counts and segments by LTV × risk score.
Different interventions by risk level and LTV; focus first on the priority cell (High Risk + High LTV).
Push segments into Klaviyo, subscription app, CX (and other channels) to reduce churn and retain more customers.
Customer level intelligence to drive targeted interventions.
Maintain your margins and focus on customers worth saving.
Keep more high value subscribers and drive your bottom line.
See payment failure risk before cards expire. Prioritize retry sequences and payment method updates on subscribers with the highest save probability.
Identify engagement drops early. Deploy education campaigns, usage nudges, and frequency adjustments to subscribers showing intent risk.
Understand which revenue is truly at risk and which interventions deliver ROI. See your segment in the Churn Risk Matrix. Stop discounting customers who would have stayed anyway.
See your revenue at risk in a Churn Risk Matrix—by LTV, risk level, and cause—and know which ones to act on first.