churn-prevention
De la autor
Build churn prevention systems — early warning signal detection, customer health scoring, re-engagement campaigns, risk tier routing, and champion departure monitoring. Use when reducing churn, building retention systems, detecting at-risk customers, or designing proactive customer success workflows. Triggers on: "churn prevention", "reduce churn", "at-risk customers", "health score", "customer retention", "churn prediction", "save customers", "re-engagement", or any request about keeping customers from canceling.
Instalare
npx skills add LeadMagic/gtm-skills --skill churn-prevention -a claude-code
Se instalează în .claude/skills/churn-prevention/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 76
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- churn-predictionLeadMagic/gtm-skillsBuilds churn prediction: leading indicators, account risk scores, early-warning alerts, and intervention playbooks tied to each risk level. Use when the user wants to predict which accounts will churn, score churn risk, or set up a retention early-warning system. Triggers on: "churn prediction", "predict churn", "churn model", "early warning", "risk scoring".Altele★ 72
- churn-analysismohitagw15856/pm-claude-skillsProduce a structured churn analysis that separates avoidable from unavoidable churn. Use when investigating why customers are leaving, identifying at-risk segments, calculating net revenue retention, or building a retention intervention plan. Produces a churn report with rate calculations, categorised reasons by avoidability, segment breakdown, timing analysis, early warning signals, and prioritised interventions ranked by estimated impact.Finanțe★ 1.5K
- retentioncbrock84/headcountDiagnoses and reduces churn — cancellation flows, save offers, failed-payment recovery, at-risk detection, and the product and service causes underneath. Use this when churn is rising or unexplained, to design a cancellation or win-back flow, to recover involuntary churn, to identify at-risk accounts before they leave, or to decide whether a retention problem is a product problem.Design★ 2.6K
- keep-churntonone-ai/tononeChurn risk identification and intervention — scans health signals for at-risk accounts, classifies risk level (CRITICAL/HIGH/MEDIUM), and produces an intervention sequence per risk type. Use when asked to "find at-risk accounts", "who might churn", "build a churn prevention plan", "identify churn signals", or "rescue this account".Planificare★ 77
- kai-retentioncgallic/kai-cmo-harnessCustomer retention system — churn analysis, retention tactics, loyalty programs, and engagement scoring. Use when "retention", "reduce churn", "keep customers", "loyalty program", "customer retention", "churn prevention", "churn analysis", "engagement scoring", "win-back", "customer lifetime value", or any request to analyze, prevent, or reduce customer churn.Altele★ 61
- keep-healthtonone-ai/tononeDesign a customer health scoring model — define signals, weights, thresholds, and action triggers. Use when asked to "build health scoring", "how do we predict churn", "what signals indicate a customer is at risk", or "design our health model".Design★ 77
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