churn-predictor

Predict customer churn risk and generate retention plans with timelines.

1|1|Updated Apr 12, 2026

Search Tags:#analytics #retention #predict #risk #customers #churn

Ready to run

npx skills add https://github.com/huifer/Shopilot --skill churn-predictor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: churn-predictor
Source: https://github.com/huifer/Shopilot/tree/main/skills/churn-predictor
Command: npx skills add https://github.com/huifer/Shopilot --skill churn-predictor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps businesses predict customer churn, analyze root causes, and prescribe actionable retention strategies to reduce churn and increase lifetime value.

Core Features & Use Cases

Risk scoring and tiering (0-100) with recommended actions
Early warning signals detection and trend analysis
Root cause analysis and prioritization
Tailored retention recommendations (short/medium/long-term) with ROI assessment
Batch risk scanning and customer profiling
Scenarios: single-customer forecasting, batch risk analysis, cause analysis

Quick Start

Given a single customer's data, output 90-day churn risk, main reasons, and a tailored retention plan.

Frequently Asked Questions about churn-predictor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I predict customer churn risk and generate retention plans?▼

To predict customer churn risk, input purchasing activity, interactions, satisfaction, and competitor signals to generate a 0-100 risk score, risk category, probable reasons, and recommended retention actions with timelines.

What early warning signals indicate a customer might churn?▼

Early warning signals of customer churn include reduced purchase frequency, lower engagement, and unresolved complaints. Analyzing these signals helps detect risk trends and prescribe proactive retention strategies.

Can I run batch risk scanning for multiple customers at once?▼

Yes, you can apply batch risk scanning to analyze multiple customers simultaneously. This process profiles datasets to output individual 0-100 churn risk scores, categories, and tailored retention recommendations.

What customer data do I need to calculate a 90-day churn risk score?▼

Calculating a 90-day churn risk score requires customer data integration covering purchasing activity, interactions, satisfaction levels, and competitor signals to accurately forecast risk and generate retention plans.

How does root cause analysis work for customer retention?▼

Root cause analysis for customer retention identifies and prioritizes the specific reasons behind churn risk, such as unresolved complaints or reduced engagement, enabling targeted short, medium, and long-term retention actions.

What is the best way to prioritize retention actions for at-risk customers?▼

The best way to prioritize retention actions is by using the generated 0-100 churn risk score and category to evaluate ROI, prescribing tailored short, medium, and long-term actions based on probable churn reasons.