Linking churn to competitor activity and price changes, then turning the findings into one-page recommendations.
| Churn drivers | |
| Price moves | |
| Engagement |
Retention and go-to-market decisions needed a steady read on competitors, pricing and market trends, tied to what our own churn data was showing.
I found the churn and engagement drivers in large subscriber datasets, mapped them against competitor moves and price changes, and identified where we were exposed. Findings went out as business cases and one-page recommendations with the numbers attached.
The work fed directly into retention and go-to-market decisions, from offer design to which segments to prioritise.