Segment Analysis
Deep-dive into specific user segments, cohorts, or customer groups using PostHog data.
Usage
/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
/segment-analysis "Compare engagement patterns between free and paid users: session frequency, feature usage, retention"
Power User Identification
/segment-analysis "Identify our power users: who are they, what features do they use, what's their profile?"
Churn Analysis
/segment-analysis "Analyze users who churned: what were their last actions, which features didn't they use?"
Geographic Performance
/segment-analysis "Compare conversion rates and engagement across our top 5 countries"
Cohort Retention
/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
/segment-analysis "Power users (5+ sessions/week) from enterprise plans who use feature X"
Funnel by Segment
/segment-analysis "Compare signup to activation funnel for organic vs paid traffic"
Retention by Segment
/segment-analysis "30-day retention by initial feature used"
Tips for Better Analysis
- Be specific - Define your segment clearly
- Ask for comparisons - "vs" between segments reveals insights
- Look for patterns - What makes segments different?
- Consider time - Trends over time matter
- Combine criteria - Multi-dimensional segments can be revealing
Context Cost
Plugin uses ~40k tokens. Disable when analysis is complete:
/plugin disable catalyst-analytics
See also: /catalyst-analytics:analyze-user-behavior, /catalyst-analytics:product-metrics