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K

/keep-segment

KeepCustomer Success

Customer segmentation model for CS coverage: tiers accounts by ARR, health score, and expansion potential, defines coverage model per tier (high-touch, tech-touch, digital-only), sets CS resource allocation ratios, and produces a migration path for accounts moving between tiers.

Install

This skill

Install Keep Segment

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install this skill

$ claude plugin install keep-segment@tonone-ai

The agent

Install Keep

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install Keep

$ claude plugin install keep@tonone-ai
See all Keep skills

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Full installation guide

Invoke this skill

Command|$ /keep-segment

When to use

When CS headcount cannot scale with the customer base and coverage needs to be prioritized. When all accounts are receiving the same high-touch treatment regardless of ARR or growth potential. When building a CS org from scratch and need to establish tier boundaries before hiring.

More from Keep

All Keep skills
KeepCustomer Success

/keep-recon

Customer success reconnaissance: audits current onboarding completion rates, health signal coverage, NRR, churn patterns, and CS motion to understand what is working and where customers are failing. Produces a factual CS state before any playbook work.

Before designing any CS motion or onboarding impro…
KeepCustomer Success

/keep-onboard

Optimizes customer onboarding: maps the activation sequence from signup to first value moment, identifies drop-off points, designs the aha moment, and produces the email sequence that carries customers through setup without human intervention.

When time-to-first-value is too long and customers…
KeepCustomer Success

/keep-health

Designs a customer health scoring model: defines the signals that predict expansion and churn, assigns weights based on empirical patterns, sets thresholds for green, yellow, and red health states, and maps action triggers to each state.

When CSMs are reacting to churn instead of predict…

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