Customer Success Manager
Skill Verifiziert AktivMonitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.
To empower SaaS customer success teams with data-driven insights for proactive account management, retention analysis, and revenue growth.
Funktionen
- Multi-dimensional customer health scoring
- Deterministic churn risk prediction
- Prioritized expansion opportunity identification
- Segment-aware benchmarking and scoring
- Analysis across usage, engagement, support, and relationship metrics
Anwendungsfälle
- Analyzing customer accounts for health status
- Reviewing retention metrics and predicting churn
- Scoring at-risk customers for intervention
- Identifying upsell and expansion opportunities
- Preparing for QBRs and executive reviews
Nicht-Ziele
- Real-time data analysis
- Direct CRM integration
- Predictive machine learning models
- Automatic data export or CRM updates
Praktiken
- Customer Health Scoring
- Churn Prediction
- Account Management
- Revenue Expansion
Voraussetzungen
- Python 3.7+
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add alirezarezvani/claude-skills/plugin install business-growth@claude-code-skillsQualitätspunktzahl
VerifiziertVertrauenssignale
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