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생산성 및 협업 · SKILL.md

churn-analyzer

churn-analyzer

Analyze customer churn patterns and create retention strategies. TRIGGERS - Use when user wants to reduce churn, improve retention, or understand why customers leave.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: churn-analyzer description: | Analyze customer churn patterns and create retention strategies. TRIGGERS - Use when user wants to reduce churn, improve retention, or understand why customers leave.

Churn Analyzer

Overview

Analyzes churn patterns, identifies root causes, and creates actionable retention strategies.

Workflow

Step 1: Gather Context

  1. Business model: SaaS, service, product?
  2. Current churn rate: Monthly/annual?
  3. Customer segments: Different tiers or types?
  4. Known reasons: Why do customers say they leave?
  5. Available data: What customer data do you have?

Step 2: Analyze Churn

Churn calculation:

Monthly churn = Customers lost / Starting customers × 100
Annual churn = 1 - (1 - monthly churn)^12
Revenue churn = MRR lost / Starting MRR × 100

Analysis dimensions:

  • By segment (plan tier, industry, size)
  • By tenure (when do they leave?)
  • By engagement (usage before churn)
  • By acquisition source (where they came from)
  • By season (time patterns)

Output Format

# Churn Analysis: [Company]

## Current State
- **Monthly churn**: [X%]
- **Annual churn**: [X%]
- **Revenue impact**: $[X] lost/month
- **Industry benchmark**: [X%]

## Churn Patterns

### By Tenure
| Period | Churn Rate | Insight |
|--------|-----------|---------|
| Month 1 | X% | [early churn = onboarding problem] |
| Month 2-3 | X% | [value realization gap] |
| Month 6+ | X% | [engagement decay] |

### By Segment
[Breakdown by customer type]

## Root Cause Analysis
1. **[Cause 1]** — [% of churn] — [evidence]
2. **[Cause 2]** — [% of churn] — [evidence]
3. **[Cause 3]** — [% of churn] — [evidence]

## Retention Strategy

### Quick Wins (This Month)
1. [Action]: Expected impact [X% reduction]
2. [Action]: Expected impact [X% reduction]

### Medium-Term (This Quarter)
1. [Action]: Expected impact [X% reduction]

### Long-Term (This Year)
1. [Action]: Expected impact [X% reduction]

## Financial Impact
If churn reduces from [X%] to [Y%]:
- Monthly revenue saved: $[X]
- Annual impact: $[X]
- LTV improvement: [X%]

Quality Checklist

  • Churn calculated correctly (logo + revenue)
  • Patterns identified by multiple dimensions
  • Root causes ranked by impact
  • Retention strategies are specific and actionable
  • Financial impact quantified
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