Churn Analysis

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name: churn-analysis
description: "Produce a structured churn analysis that separates avoidable from unavoidable churn. Use when investigating why customers are leaving, identifying at-risk segments, calculating net revenue retention, or building a retention intervention plan. Produces a churn report with rate calculations, categorised reasons by avoidability, segment breakdown, timing analysis, early warning signals, and prioritised interventions ranked by estimated impact."
---

# Churn Analysis Skill

Produce a structured churn analysis that goes beyond the headline rate — identifying why customers leave, which segments are most at risk, and what interventions will have the highest impact on retention.

## Required Inputs

Ask for these if not already provided:
- **Time period** being analysed (e.g. Q1, last 12 months)
- **Total customers at start of period** and **customers churned**
- **ARR or revenue lost** to churn
- **Churn reasons data** — exit survey results, CSM notes, support data, or sales loss reasons
- **Customer segments** — by tier, industry, cohort, or product line
- **Current retention rate** if known
- **Any recent changes** — pricing, product, support model — that may have affected churn

## Churn Categories

Always classify churn before analysing it:

| Category | Definition |… load the full skill through Skill Me