We read the quiet patterns in your app analytics that arrive weeks before a cancellation—and turn them into signals your team can act on.
Most product teams already collect events. We show which of those events actually precede churn—and which only look predictive on a dashboard.
We review your behavioural stream, retention cohorts, and cancellation flows, then deliver a ranked watchlist of actionable signals with a briefing for product, growth, and customer success.
Once the audit is clear, teams usually ask for a model brief, a cohort readout, or a map from signals to interventions.
A practical brief for building or refining a predictive churn score from app analytics.
Explain how cohorts diverge before churn becomes visible in revenue reports.
Connect early churn indicators to the moments your team can still intervene.
“They discarded half the ‘churn’ metrics we trusted. The three they kept gave customer success a two-week head start we did not have before.”Head of lifecycle · B2B SaaS · United Kingdom
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