NeuroFlix · Capability
Subscriber Intelligence
Know which subscribers are about to churn before they cancel, and have the win-back offer ready the moment the model flags them.
Overview
What Subscriber Intelligence does
Subscriber Intelligence scores every subscriber's likelihood to churn using viewing behavior, engagement trends, and billing signals together, catching the drop-off in weekly watch time or the failed payment retry weeks before a cancellation actually happens. Scores update continuously, so risk is tracked as a trend, not a one-time snapshot taken at renewal.
A churn score by itself doesn't save a subscriber, so it's wired directly into win-back workflows: crossing a risk threshold can trigger a specific offer, a retention message, or a support outreach, matched to why that subscriber is likely to leave. Retention teams see which interventions actually move the needle, rather than running the same generic discount on everyone.
Continuous
Churn scores updated per subscriber
Automated
Win-back offers triggered by risk
Cross-signal
Viewing and billing behavior combined
Inside the Module
One workspace, every screen your teams need
Churn Risk Dashboard
Subscribers segmented by churn risk score with the underlying drivers, dropping watch time, payment friction, reduced session frequency, surfaced for each segment so retention teams know not just who is at risk but why.
Under the Hood
Built on capable foundations
Churn Propensity Scoring
Continuously updated risk scores built from viewing and billing behavior together.
Segment-Level Targeting
Retention offers are matched to why a segment is likely to leave, not applied uniformly.
Automated Win-Back
Crossing a risk threshold triggers the right offer or message without manual review.
Measured Retention Impact
Every campaign's effect on saved subscribers and lifetime value is tracked, not assumed.
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