Startups
Behavioural analytics and personalisation pipelines that identify which users are at risk of churning, which are ready to expand, and what product experience each segment should receive.
0h
Response time
0+
Projects delivered
0+
Years in production
Industry overview
AI-driven customer insights apply machine learning to product usage data to predict churn, identify expansion opportunities, and personalise in-product experiences — replacing manual cohort analysis with automated, continuously updated signals.
At a glance
Most startups know their overall churn rate but cannot answer: which specific users will churn in the next 30 days, and why? We build the data and ML infrastructure to answer that question at the user level. A feature usage graph feeds a gradient boosting model trained on your historical churn labels; high-risk users surface in a CRM view your success team can act on before the cancellation happens. The same infrastructure supports expansion scoring: identifying users whose usage patterns indicate readiness to upgrade.
We instrument product events, build a feature usage matrix in your data warehouse, train churn and expansion propensity models, and serve scores via an internal API your CRM or messaging tool can query. Personalisation outputs feed into your email automation or in-app notification system — so a user at churn risk receives a targeted intervention, while an expansion-ready user receives an upgrade prompt. All models include explainability outputs so your success team understands why a score was assigned.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to startups clients.
Product event instrumentation and feature usage matrix in data warehouse
Churn propensity model trained on your historical labelled data
Expansion scoring model identifying upgrade-ready users by usage pattern
CRM integration surfacing risk and opportunity scores per user
Personalised in-app and email trigger logic keyed to model outputs
Explainability layer so success teams understand each score assignment
Work with us
Share what you're building — we'll respond within one business day with questions or a proposal outline.
