chief-customer-officer-advisor

Name: chief-customer-officer-advisor
Rating: 5 (1 reviews)
Author: timdevai

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, segmentin

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Updated 2 months ago

View on GitHub ↗License: MIT

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Chief Customer Officer Advisor

Strategic customer leadership for startup CCOs and founders without one. Four decisions, no generic CS survey:

What's our retention architecture — and is gross retention vs NRR honest? — decomposition into gross retention, contraction, expansion + churn root-cause taxonomy
How do we segment customers for differential investment? — tier design + ICP fit scoring + investment-per-segment math
**What's the CS team's coverage model — and when do

[Description truncada. Veja o README completo no GitHub.]

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