Global EdTech Provider – Behaviour-Led Retention Analytics
Outcome
20% increase in user retention and 10% uplift in premium conversions.
The Problem
The platform tracked engagement metrics but couldn’t explain why users dropped off or which content actually improved learning outcomes. Product teams needed actionable insight tied to user behaviour, retention and subscription value.
Our Solution
We delivered a behavioural analytics suite combining churn prediction, learning outcome modelling and engagement segmentation to drive a data-led product roadmap.
Key actions
- Churn prediction using Python & R models
- Feature-level impact scoring linked to learning outcomes
- Segmentation of learners vs. drop-offs vs. dabblers
- Subscription optimisation dashboards in Power BI
- Cohort analysis and A/B testing for feature decisions
Impact
- 20% increase in user retention
- 10% uplift in premium subscription conversions
- 15% improvement in performance via curriculum-led UX
- Faster product decisions via drill-down analytics and cohorts
Why It Mattered
The platform reduced churn and grew subscriptions without new content, by improving the value of existing learning journeys.
Tech Snapshot
Python • R • SQL • Power BI • Tableau