| name | co-growth-user-segmentation |
| description | User segmentation skill. Behavioral, value-based, and lifecycle segmentation
with RFM analysis, MECE validation, and segment sizing.
Use when DEFINING user segments, creating cohorts, building personas,
running RFM analysis, or validating segment coverage.
|
User Segmentation
Behavioral, value-based, and lifecycle user segmentation.
Use This Skill When
- Defining target user segments for growth initiatives.
- Building behavioral or value-based cohorts.
- Running RFM (Recency, Frequency, Monetary) analysis.
- Validating that segments are MECE.
- Sizing segments for experiment feasibility.
Workflow
- Clarify segmentation objective and available data dimensions.
- Select segmentation approach (behavioral / value / lifecycle / RFM).
- Define segment boundaries and criteria.
- Validate MECE: every user belongs to exactly one segment.
- Size each segment (count, % of total, revenue share).
- Save segment definitions and sizing to files.
Deliverables
report.md: segmentation rationale and summary.results/segments.md: segment definitions using template.results/segment-sizing.csv: counts, percentages, revenue share.
Quality Gates
If any gate fails: identify the issue, fix, and re-validate.
Gotchas
- Segments below 5% of the user base are rarely actionable for experiments — flag and consider merging.
- RFM quintile boundaries should be recalculated quarterly; stale thresholds misclassify users.
- "Power users" is not a valid segment without concrete behavioral criteria (e.g., ≥10 sessions/week).
Validation Loop
- Generate segment definitions
- Check: MECE compliance, minimum size (≥5%), reproducible criteria
- If any check fails → revise boundaries
- User approval before finalizing ⏸️
