For growing product and customer teams

Retention Intelligence

Build an explainable early-warning system that helps your team identify who may leave, why risk is rising and where to intervene.

Typical timing: 8–10 weeks
Discuss a suitable scope
Business analytics workspace with charts

Best suited to

Subscription, fintech, marketplace and service apps with established event data

We begin by aligning the prediction target, available evidence and operational decision. The work is then shaped to the quality and depth of your data—not forced into a fixed technical package.

What your team receives

  • Production-ready churn scoring
  • Key risk-driver analysis
  • Segments matched to interventions
  • Monitoring and model health plan
  • Enablement for product, CRM and support teams

Responsible and explainable by default

We favour the simplest model that produces reliable, useful separation. Data access is limited to the agreed purpose, outputs are documented and business users are shown both the model's strengths and its limits. No model can guarantee that a customer will churn or that an intervention will retain them.

Begin with a fit check

Tell us about your app, customer lifecycle, existing event and account data, and the retention decisions you want to improve. We will identify feasibility, likely gaps and an appropriate next step.

Arrange a fit check →