Can I use this skill if I only have a CRM connected?

Yes, the skill is designed to work with available data. If product analytics or support tools are missing, it will focus on CRM signals like relationship cooling and contract dates while noting the data gaps.

What data sources does this skill use to predict churn?

The skill integrates data from CRM systems (like Salesforce), support platforms (like Zendesk), and product analytics tools (like Mixpanel) to provide a 360-degree view of account health.

How does the skill prioritize at-risk accounts?

Accounts are prioritized into Critical, High, Medium, and Watch tiers based on signals such as failed payments, NPS detractor scores, support escalations, and usage declines.

What kind of suggested actions does it provide?

It provides context-specific recommendations such as executive outreach for high-ARR accounts, support theme reviews for ticket spikes, or win-back campaigns for usage drops.

Customer Churn Prediction

Name: Customer Churn Prediction
Author: propane-ai

bypropane-ai

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Analíticas y Monitorización

Identifies at-risk customer accounts by synthesizing signals from CRM, support, and product analytics to prevent churn.

The Customer Churn Prediction skill acts as an automated customer success analyst that monitors account health across multiple data silos. By evaluating signals such as usage declines, support ticket spikes, and negative sentiment, it generates a prioritized at-risk list categorized by severity. It goes beyond simple identification by suggesting specific, actionable intervention strategies—such as executive outreach or strategic health reviews—enabling CX teams to proactively secure renewals and protect revenue.

Características Principales

01Strategic prioritization based on ARR and contract renewal dates

02Tiered risk prioritization (Critical, High, Medium, Watch)

031 GitHub stars

04Multi-source signal synthesis from CRM, Support, and Product platforms

05Automated identification of competitive mentions and sentiment shifts

06Actionable intervention suggestions tailored to specific risk factors

Casos de Uso

01Diagnosing the impact of product changes by tracking engagement drops and support spikes

02Analyzing renewal health 90 days in advance to identify and mitigate potential churn

03Generating weekly prioritized reports for Customer Success Managers to address urgent account risks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add propane-ai/kits churn-prediction

For use in Claude.ai and ChatGPT

Download Skill