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Afrexai Churn Analyzer

Churn Risk Analyzer

1kalin0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 1kalin/afrexai-churn-analyzer

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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 C...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-churn-analyzer
Version
—
Commit
db2f9102b4f92c5a164ccc9b964b0a7e0ef0655f
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

Churn Risk Analyzer

Stop losing customers you could have saved.

This skill turns your usage data, support tickets, and engagement signals into a prioritized churn risk scorecard. Each account gets a 0-100 risk score with specific retention actions.

What You Get

  • Churn risk scoring across 6 behavioral dimensions
  • Accounts ranked by revenue at risk
  • Specific retention plays for each critical account
  • 30/60/90 day action calendar

Works With

  • CSV exports from any CRM or billing system
  • Manual account descriptions
  • Support ticket logs
  • Usage/analytics data

No Data? No Problem.

Describe your customers qualitatively and the skill adapts — you don't need a data warehouse to start identifying risk.


Want industry-specific retention strategies? Check out the AfrexAI Context Packs — pre-built AI agent configurations for SaaS, fintech, healthcare, and 7 more verticals. $47/pack.

Curious how much revenue you're leaking? Run the free AI Revenue Calculator.

Contenu extrait

SKILL.md
# 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 C...
README
# Churn Risk Analyzer

Stop losing customers you could have saved.

This skill turns your usage data, support tickets, and engagement signals into a prioritized churn risk scorecard. Each account gets a 0-100 risk score with specific retention actions.

## What You Get
- Churn risk scoring across 6 behavioral dimensions
- Accounts ranked by revenue at risk
- Specific retention plays for each critical account
- 30/60/90 day action calendar

## Works With
- CSV exports from any CRM or billing system
- Manual account descriptions
- Support ticket logs
- Usage/analytics data

## No Data? No Problem.
Describe your customers qualitatively and the skill adapts — you don't need a data warehouse to start identifying risk.

---

**Want industry-specific retention strategies?** Check out the [AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/) — pre-built AI agent configurations for SaaS, fintech, healthcare, and 7 more verticals. $47/pack.

**Curious how much revenue you're leaking?** Run the free [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/).

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