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

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:

/plugin disable catalyst-analytics

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See also: /analyze-user-behavior, /product-metrics