An intelligent diagnostic tool that identifies at-risk accounts and provides actionable retention strategies to protect recurring revenue.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-churn-analyzer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-churn-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Churn Risk Analyzer is a specialized framework designed to help customer success and revenue teams identify at-risk accounts before they cancel. By leveraging the analytical power of Openclaw Skills, this tool synthesizes multi-channel data points—including usage trends, support interactions, and billing patterns—to provide a clear, weighted risk score for every customer.
This skill moves teams from reactive crisis management to proactive retention. It goes beyond simple alerts by providing a structured categorization of account health and generating specific, high-impact recommendations to re-engage users and secure renewals.
To get started with the Churn Risk Analyzer, ensure your environment is ready to process account data. You can initiate the analysis via your preferred CLI or interface supported by Openclaw Skills.
# Example of initiating a churn analysis session
openclaw run churn-risk-analyzer --data ./customer_usage.csv
For enhanced results, you can pair this with industry-specific context packs to refine the weighting logic based on your specific business model.
The skill organizes customer data into a structured risk matrix. The following taxonomy is used for account evaluation:
| Data Category | Signals Included | Impact Weight |
|---|---|---|
| Usage | Login frequency, feature adoption, API activity | 25% |
| Support | Ticket volume, sentiment analysis, resolution time | 20% |
| Relationship | Key contact (Champion) status, meeting attendance | 30% |
| Financial | Payment history, contract renewal proximity | 25% |
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