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Churn Risk Analyzer

Name: Churn Risk Analyzer
Author: 1kalin

作者 1kalin · GitHub ↗ · v1.0.0

cross-platform ✓ 安全检测通过

760

总下载

当前安装

版本数

在 OpenClaw 中安装

/install afrexai-churn-analyzer

功能描述

Analyze customer data to score churn risk, categorize accounts, and recommend tailored retention actions for proactive customer success management.

使用说明 (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%	\x3C90 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

安全使用建议

This skill appears coherent for churn scoring and does not request credentials or install code, but consider the following before use: (1) Only provide customer data you are allowed to share — scrub or anonymize PII if unsure. (2) Prefer exporting and reviewing CSVs locally rather than pasting sensitive data into public chat or unfamiliar integrations. (3) The README links to paid AfrexAI resources — those are external and not required for the skill to work; verify the vendor before purchasing. (4) If you plan to connect this skill to a live CRM or analytics system, use least-privilege API keys/accounts and review where processed data is sent. Finally, note the registry metadata is sparse (no homepage, unknown owner); if you need higher assurance, ask the publisher for provenance or a more detailed description before deploying with real customer data.

功能分析

Type: OpenClaw Skill Name: afrexai-churn-analyzer Version: 1.0.0 The skill bundle appears benign. The `SKILL.md` and `README.md` files describe a 'Churn Risk Analyzer' skill, providing instructions for an AI agent to gather data, score customer accounts, categorize risk, and recommend retention actions. The instructions are clear, task-oriented, and do not contain any prompt injection attempts, malicious commands, or directives for unauthorized actions. The external links present in both markdown files are for marketing and upselling related products (AfrexAI Context Packs, AI Revenue Calculator) and are not instructions for the agent to interact with them in a harmful way. No evidence of data exfiltration, malicious execution, persistence, or obfuscation was found.

能力评估

✓ Purpose & Capability

The name, README, and SKILL.md all describe churn-risk scoring from usage, tickets, billing, and engagement data; nothing in the skill's files requests unrelated capabilities (cloud creds, system access, or unusual binaries).

ℹ Instruction Scope

Runtime instructions ask the agent to request CSVs/CRM exports or manual descriptions and to produce reports and recommendations — this stays within expected scope. Note: it references external AfrexAI context packs and a revenue calculator (promotional links); the instructions do not direct the agent to send data to those endpoints but a user could be encouraged to follow the links.

✓ Install Mechanism

No install spec or code files (instruction-only). This minimizes disk/write/execution risk.

✓ Credentials

The skill declares no environment variables, credentials, or config paths. Its stated inputs (CSV/CRM/manual data) are appropriate for churn analysis and do not require unrelated secrets.

✓ Persistence & Privilege

Does not request always:true and contains no install hooks or permanent modifications; normal autonomous invocation applies but the skill itself does not request elevated persistence.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install afrexai-churn-analyzer
安装完成后，直接呼叫该 Skill 的名称或使用 /afrexai-churn-analyzer 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of the AfrexAI Churn Risk Analyzer - Identifies customers likely to churn using behavioral, usage, and engagement data. - Scores accounts with a weighted risk framework and categorizes them from "Thriving" to "Critical." - Recommends tailored retention actions for at-risk accounts. - Generates a retention report listing at-risk customers, action plans, revenue impact, and follow-up calendar. - Integrates with CSV, CRM, or manual data input for flexibility.

元数据

Slug afrexai-churn-analyzer

版本 1.0.0

许可证 —

累计安装 2

当前安装数 2

历史版本数 1

常见问题