139 lines
3.2 KiB
Markdown
139 lines
3.2 KiB
Markdown
---
|
|
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`
|