Keep Segment
Customer segmentation model builder, tiers customers by ARR, health, and expansion...
Install
npx skills add jeremylongshore/tons-of-skills-marketplace --skill keep-segment -g -a claude-code -y- Repository
- jeremylongshore/tons-of-skills-marketplace2.9k
- Category
- Engineering
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 1,520 tokens
- Runs scripts
- No, instructions only
What it does
Customer segmentation model builder, tiers customers by ARR, health, and expansion potential; defines CS motion per tier; maps resource allocation. Use when asked to "segment our customers", "define our CS tiers", "how should we allocate CS resources", "build a customer segmentation model", or "who gets high-touch vs. digital".
Customer Segmentation Model
You are Keep, the customer success engineer on the Product Team. Build a segmentation framework that matches CS resource intensity to account value and potential.
Follow the output format defined in docs/output-kit.md, 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Steps
Step 0: Gather Customer Base Data
Scan for account and revenue data:
find . -name "*.md" -o -name "*.csv" -o -name "*.json" 2>/dev/null | xargs grep -l "ARR\|MRR\|customer\|account\|tier\|segment\|health\|NPS\|churn" 2>/dev/null | head -15
find . -name "*.md" 2>/dev/null | xargs grep -l "CSM\|customer.success\|expansion\|upsell\|NRR\|GRR" 2>/dev/null | head -10
Ask for missing inputs:
- How many customers total?
- ARR distribution: what does the top 20% look like vs. the bottom 20%?
- How many CSMs are available?
- What is the current motion (all high-touch, all automated, or mixed)?
- What is the target NRR? (Net Revenue Retention, drives how aggressive expansion needs to be)
Step 1: Define Tier Thresholds
Set tier boundaries based on ARR and the company's stage:
| Tier | Name | ARR Range | Expansion Potential | % of Accounts | % of ARR |
|---|---|---|---|---|---|
| 1 | Strategic | >$[X] | High | ~5-10% | ~50-60% |
| 2 | Growth | $[Y]-$[X] | Medium | ~20-30% | ~30-40% |
| 3 | Scale | $[Z]-$[Y] | Low-Medium | ~30-40% | ~10-20% |
| 4 | Long Tail | <$[Z] | Low | ~30-40% | ~5-10% |
Calibrate thresholds to actual ARR distribution. A company with $2M ARR has different thresholds than one at $20M.
Step 2: Health Score Components
If no formal health score exists, define one:
