Churn Risk Analyzer

Churn Risk Analyzer

Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions.

When to Use

Customer success reviews

Quarterly retention planning

When usage data or support ticket logs are available

Proactive outreach prioritization

How It Works

1. Gather Data

Ask the user for available data sources:

Usage metrics (logins, feature adoption, API calls)

Support tickets (frequency, sentiment, resolution time)

Billing history (downgrades, late payments, discount requests)

Engagement signals (email opens, meeting attendance, NPS scores)

If no structured data, work from what the user describes qualitatively.

2. Score Each Account

Apply this risk framework:

| Signal | Weight | High Risk Indicator | |--------|--------|-------------------| | Usage decline (30d) | 25% | >30% drop | | Support ticket spike | 20% | 2x+ above baseline | | Champion departure | 20% | Key contact left | | Contract timing | 15% | <90 days to renewal | | Payment behavior | 10% | Late/disputed invoices | | Engagement drop | 10% | No response to last 3 outreach |

Score: 0-100 (higher = more likely to churn)

3. Categorize

🔴 Critical (75-100): Immediate intervention needed

🟡 At Risk (50-74): Schedule check-in this week

🟢 Healthy (25-49): Monitor monthly

💚 Thriving (0-24): Expansion opportunity

4. Recommend Actions

For each at-risk account, suggest specific retention plays:

Executive sponsor call

Custom success plan

Feature training session

Pricing review / loyalty offer

Roadmap preview (show upcoming value)

5. Output

Generate a retention report with:

Ranked list of accounts by churn risk

Top 3 actions per critical account

Estimated revenue at risk

30/60/90 day retention calendar

Integration Notes

Works with CSV exports, CRM data, or manual input

Pair with the AfrexAI Context Packs for industry-specific retention strategies ($47/pack)

For a full AI-powered retention system built for your business, try the AI Revenue Calculator to see what you're leaving on the table