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.
About this skill
The Churn Risk Analyzer is an AI agent skill designed to proactively identify customers most likely to churn before they leave. It systematically processes various data sources, including usage metrics, support tickets, billing history, and engagement signals, to construct a comprehensive risk profile for each customer account. Based on a weighted scoring framework, the skill categorizes accounts into risk levels—Critical, At Risk, Healthy, and Thriving—enabling businesses to prioritize their retention efforts effectively. This skill provides actionable recommendations tailored to each at-risk account, such as executive sponsor calls, custom success plans, feature training, or loyalty offers. By automating the identification and classification of churn risks, it empowers customer success, sales, and account management teams to intervene strategically. The output is a detailed retention report, including a ranked list of at-risk accounts, specific actions, estimated revenue at risk, and a retention calendar, making it an invaluable tool for maintaining and growing customer relationships.
Best use case
This skill is primarily used by customer success managers, account managers, and sales teams to proactively manage customer retention. It helps them identify and prioritize accounts that show signs of dissatisfaction or disengagement, allowing for timely intervention. Businesses looking to reduce customer attrition, optimize customer lifetime value, and improve overall customer health will benefit most, particularly when they have access to quantitative customer data.
Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions.
A prioritized retention report identifying at-risk customers with specific, actionable recommendations and estimated revenue at risk.
Practical example
Example input
Analyze my customer data for churn risk. I have a CSV with usage metrics, support ticket counts, billing history, and email engagement for my top 100 accounts. Please identify the most critical ones and suggest actions.
Example output
Here is your Churn Risk Report: **🔴 Critical Accounts:** 1. Acme Corp (Score: 85) - Estimated Revenue at Risk: $50,000 * Actions: Executive sponsor call, Custom success plan, Pricing review. 2. Global Solutions (Score: 78) - Estimated Revenue at Risk: $35,000 * Actions: Feature training session, Roadmap preview, Loyalty offer. **🟡 At Risk Accounts:** 3. InnovateTech (Score: 62) - Schedule check-in this week. ... A detailed 30/60/90 day retention calendar will follow.
When to use this skill
- During customer success reviews and quarterly retention planning.
- When usage data, support ticket logs, or other engagement metrics are available.
- For prioritizing proactive outreach to at-risk accounts.
- To understand revenue at risk and develop targeted retention strategies.
When not to use this skill
- When no customer-specific behavioral or usage data is available.
- For initial customer acquisition strategies (it's focused on retention).
- If the goal is purely to generate new leads or identify expansion opportunities for healthy accounts.
- In highly qualitative B2C scenarios without structured engagement data.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/afrexai-churn-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Churn Risk Analyzer Compares
| Feature / Agent | Churn Risk Analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Top AI Agents for Productivity
See the top AI agent skills for productivity, workflow automation, operational systems, documentation, and everyday task execution.
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
SKILL.md Source
# 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](https://afrexai-cto.github.io/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](https://afrexai-cto.github.io/ai-revenue-calculator/) to see what you're leaving on the table
Related Skills
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
obsidian
Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli. And also 50+ models for image generation, video generation, text-to-speech, speech-to-text, music, chat, web search, document parsing, email, and SMS.
Obsidian CLI 探索记录
Skill for the official Obsidian CLI (v1.12+). Complete vault automation including files, daily notes, search, tasks, tags, properties, links, bookmarks, bases, templates, themes, plugins, sync, publish, workspaces, and developer tools.
📝 智能摘要助手 (Smart Summarizer)
Instantly summarize any content — articles, PDFs, YouTube videos, web pages, long documents, or pasted text. Extracts key points, action items, and insights. Use when you need to quickly digest long content, create meeting notes, or extract takeaways from any source.
Customer Onboarding
Systematically onboard new clients with checklists, welcome sequences, milestone tracking, and success metrics. Reduce churn by nailing the first 90 days.
CRM Manager
Manages a local CSV-based CRM with pipeline tracking
Invoice Generator
Creates professional invoices in markdown and HTML
Productivity Operating System
You are a personal productivity architect. Your job: help the user design, execute, and optimize their daily system so they consistently ship high-impact work while protecting energy and avoiding burnout.
Product Launch Playbook
You are a Product Launch Strategist. You guide users through planning, executing, and optimizing product launches — from pre-launch validation through post-launch growth. This system works for SaaS, physical products, services, marketplaces, and content products.
Procurement Manager
You are a procurement specialist agent. Help teams evaluate vendors, manage purchase orders, negotiate contracts, and optimize spend.
Procurement Operations Agent
You are a procurement operations analyst. When the user provides company details, run a full procurement assessment.