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+---
+description: Analyze user segments and cohorts for targeted insights
+category: analytics
+tools: Task, TodoWrite
+model: inherit
+version: 1.0.0
+---
+
+# Segment Analysis
+
+Deep-dive into specific user segments, cohorts, or customer groups using PostHog data.
+
+## Usage
+
+```bash
+/segment-analysis <segment-description>
+
+Examples:
+  /segment-analysis "users from paid plans vs free plans"
+  /segment-analysis "power users who use feature X daily"
+  /segment-analysis "users who churned in last 30 days"
+  /segment-analysis "cohort: signed up in Q4 2024"
+```
+
+## What This Analyzes
+
+### User Segments
+
+- By plan type (free, pro, enterprise)
+- By geography (country, region)
+- By acquisition source (organic, paid, referral)
+- By behavior (power users, casual users, at-risk)
+
+### Cohort Analysis
+
+- By signup date (monthly, weekly cohorts)
+- By first feature used
+- By activation milestone reached
+- By engagement level
+
+### Comparison Analysis
+
+- Segment A vs Segment B
+- Before/after feature launch
+- Treatment vs control (A/B tests)
+- Time period comparisons
+
+## Example Analyses
+
+### Plan Comparison
+
+```bash
+/segment-analysis "Compare engagement patterns between free and paid users: session frequency, feature usage, retention"
+```
+
+### Power User Identification
+
+```bash
+/segment-analysis "Identify our power users: who are they, what features do they use, what's their profile?"
+```
+
+### Churn Analysis
+
+```bash
+/segment-analysis "Analyze users who churned: what were their last actions, which features didn't they use?"
+```
+
+### Geographic Performance
+
+```bash
+/segment-analysis "Compare conversion rates and engagement across our top 5 countries"
+```
+
+### Cohort Retention
+
+```bash
+/segment-analysis "Show retention curves for each monthly signup cohort in 2024"
+```
+
+## Output Format
+
+Analysis typically includes:
+
+- **Segment characteristics** (size, demographics, behavior)
+- **Key metrics** for each segment
+- **Comparative insights** between segments
+- **Behavior patterns** unique to segment
+- **Recommendations** for targeting or improvement
+
+## Segmentation Criteria
+
+You can segment by:
+
+- **Demographics**: Country, language, device type
+- **Behavior**: Feature usage, session frequency, engagement score
+- **Business**: Plan type, payment history, LTV
+- **Temporal**: Signup date, last active, tenure
+- **Custom**: Any event or property in PostHog
+
+## Advanced Analysis
+
+### Multi-dimensional Segmentation
+
+```bash
+/segment-analysis "Power users (5+ sessions/week) from enterprise plans who use feature X"
+```
+
+### Funnel by Segment
+
+```bash
+/segment-analysis "Compare signup to activation funnel for organic vs paid traffic"
+```
+
+### Retention by Segment
+
+```bash
+/segment-analysis "30-day retention by initial feature used"
+```
+
+## Tips for Better Analysis
+
+1. **Be specific** - Define your segment clearly
+2. **Ask for comparisons** - "vs" between segments reveals insights
+3. **Look for patterns** - What makes segments different?
+4. **Consider time** - Trends over time matter
+5. **Combine criteria** - Multi-dimensional segments can be revealing
+
+## Context Cost
+
+Plugin uses ~40k tokens. Disable when analysis is complete:
+
+```bash
+/plugin disable catalyst-analytics
+```
+
+---
+
+**See also**: `/analyze-user-behavior`, `/product-metrics`