Churn Analysis

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.

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp

What to give it

• 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

Example output

Input: SMB SaaS, $49/mo. Monthly logo churn rose from 3% to 5% over two quarters. Most cancellations happen in month 2-3. Top stated reasons: 'too hard to set up' and 'didn't see value'. Annual plans churn far less than monthly. · generated by claude-sonnet-4-6

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