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chief-customer-officer-advisor

100/100
Skill
作者 Alireza Rezvani@alirezarezvani
MIT

Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only — does not duplicate engineering/business-growth tactical skills.

来源下载

评审评分

安全性35/35维护性35/35易用性30/30
安全性35/35
维护性35/35
易用性30/30
证据:
high
评审于 Jun 14, 2026
新鲜

评审版本

1.0.0

最新版本

未知

新鲜度

0 天前完成评审。

评分反映被评审版本,后续更新可能导致变化。

安全审计 - 1 个发现

审计于 Jun 14, 2026
audit-incomplete
Could not fetch package.json: 404

概览

适合使用

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设置

Refer to the Quick Start section in the SKILL.md for installation and usage of the Python scripts.

故障排查

场景

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安装

Refer to the Quick Start section in the SKILL.md for installation and usage of the Python scripts.
下载 SKILL.md

CldKit CLI

cldkit install chief-customer-officer-advisor
cldkit info chief-customer-officer-advisor

安装 CLI: npm i -g @cldkit/cli

版本

1.0.0

星标

18,060

许可证

MIT

兼容性

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链接

GitHub 来源@alirezarezvani
customer-success
retention
marketing
leadership
CCO
chief customer officer
customer success
retention strategy
gross retention
net retention
NRR
GRR
churn
segmentation
CSM
customer lifetime value