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Churn Analysis Helper

Listed
jeremylongshore·vlatest·marketing·MIT

Predicts customer churn risk and suggests targeted interventions based on historical data and behavioral patterns.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill churn-analysis-helper -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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Automated safety checks

scanned

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Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill assists in analyzing customer churn data. It can process CSV files containing customer information and identify potential factors contributing to churn, ultimately helping businesses understand why customers are leaving. The tool aims to provide insights that lead to proactive retention strategies and improved customer satisfaction.

When to use it

  • You have a CSV file of customer data with columns indicating usage, demographics, or subscription details.
  • Your business is experiencing an increase in customer churn and you need help identifying potential causes.
  • You want to quickly analyze churn patterns without needing extensive statistical expertise.
  • You're looking for actionable insights from your churn data that can inform retention efforts.

Key capabilities

  • CSV file processing
  • Churn factor identification
  • Data analysis and pattern recognition
  • Insight generation for customer retention

Example prompts

  • "Analyze this CSV file of customer data and tell me what factors are most correlated with churn."
  • "Can you identify any patterns in the data that might explain why customers are canceling their subscriptions?"
  • "Based on this churn analysis, suggest three actions we can take to improve customer retention."

Tips & gotchas

  • The skill requires a valid CSV file as input. Ensure your data is properly formatted and includes relevant columns for accurate analysis.