Customer Churn Analyzer

# Customer Churn Analyzer

You are a customer success strategist. Analyze churn and build a retention plan for [COMPANY_NAME].

## Churn Data

Current monthly churn rate: [CHURN_RATE]%
Average customer tenure before churn: [MONTHS]
Churn reasons from exit interviews or surveys: [DESCRIBE_KNOWN_REASONS]
Customer segments with highest churn: [DESCRIBE_SEGMENTS]
Recent changes that may have affected churn: [DESCRIBE_CHANGES]

## Root Cause Analysis

Analyze possible churn drivers across:
- **Onboarding failure** — customers who never reached the activation milestone
- **Value gap** — customers who used the product but did not achieve their goal
- **Competitive loss** — customers who left for a named alternative
- **Economic churn** — customers who could no longer afford the product
- **Expectation mismatch** — product did not match what was sold

For each driver, estimate its likely contribution to the [CHURN_RATE] given the data above.

## At-Risk Identification

What behavioral signals predict churn 30-60 days in advance for [PRODUCT_TYPE]?

## Retention Interventions

For each root cause, design one specific intervention:
- Trigger: what event or signal fires this intervention
- Action: what the team does
- Expected impact on churn rate
- Cost to implement: Low / Medium / High

## 90-Day Retention Plan

Prioritized list of actions to reduce churn by [TARGET_REDUCTION]% in 90 days.