customer-segmentation
Segments the Stripe subscriber base by plan, country, card funding, tenure, or value -- with per-segment MRR and churn. Use when the user mentions "segment customers", "break down by country/plan", "who are our best customers", or "value tiers". For a single customer, see customer-360.
Source facts
- Repository
- appeeky/stripe-skills
- Last source activity
- July 19, 2026 at 10:10
- Detected SKILL.md language
- English
- Stars
- 5
- Forks
- 1
Install options
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Review the source files
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Showing SKILL.md
SKILL.md
Source instructions · Read-only preview- name
- customer-segmentation
- description
- Segments the Stripe subscriber base by plan, country, card funding, tenure, or value -- with per-segment MRR and churn. Use when the user mentions "segment customers", "break down by country/plan", "who are our best customers", or "value tiers". For a single customer, see customer-360.
- metadata
- {"version":"1.0.0"}
# Customer Segmentation
## Stripe MCP Setup
Requires **Stripe MCP** (https://docs.stripe.com/mcp). `GetMcpTools` before `CallMcpTool`. Paginate all lists (`limit: 100`, `starting_after` while `has_more`). Amounts in **cents**. Read-only for audits; confirm before writes.
## Workflow
1. List active + past_due subs (expand price + payment method)
2. Segment along a chosen axis:
| Axis | Source |
|------|--------|
| Plan | `price.id` |
| Country | `card.country` / customer address |
| Funding | `card.funding` |
| Tenure | `created` bucketed |
| Value | MRR tiers (whale / mid / low) |
3. Per segment: count, MRR, share, past_due rate
## Output Template
```
Segmentation by [axis]
| Segment | Subs | MRR | % of MRR | Past due % |
|---------|------|-----|----------|------------|
Concentration: top [n] customers = [X]% of MRR
Insight: [risk or opportunity per segment]
```
High MRR concentration = revenue risk; flag if top 10% > 50% of MRR.
View on GitHub