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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.

來源下載

評審評分

安全性35/35維護性35/35易用性30/30
安全性35/35
維護性35/35
易用性30/30
證據:
high
評審於 Jun 14, 2026
新鮮

評審版本

1.0.0

最新版本

未知

新鮮度

0 天前完成評審。

評分反映被評審版本,後續更新可能導致變化。

安全審計 - 1 個發現

審計於 Jun 14, 2026
audit-incomplete
Could not fetch package.json: 404

概覽

適合使用

不適合使用

設定

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

故障排查

場景

標籤

Alireza Rezvani 的更多元件

  • cross-eval
    Skill
    100/100
  • cto-review
    Skill
    100/100
  • freeze
    Skill
    100/100
  • decide
    Skill
    100/100
Skill

安裝

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

CldKit CLI

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

安裝 CLI: npm i -g @cldkit/cli

版本

1.0.0

星標

18,060

許可證

MIT

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連結

GitHub 來源@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