Features
- Product analytics with funnels and retention
- Feature flags with gradual rollouts
- Session replay for user behavior analysis
- A/B testing with statistical significance
Pros
- All-in-one product analytics suite
- Open-source with generous free tier
- Self-hostable for data privacy compliance
Cons
- Individual features less deep than specialized tools
- Self-hosted requires significant infrastructure
- Can be complex to configure for advanced use cases
Overview
PostHog is an open-source product analytics platform that combines analytics, feature flags, session replay, A/B testing, and surveys in a single product. Instead of stitching together multiple tools (Mixpanel for analytics, LaunchDarkly for feature flags, LogRocket for session replay), PostHog provides all of these in one platform with correlated data.
PostHog’s analytics include event tracking, funnels, retention analysis, user paths, and cohort analysis. Feature flags support percentage-based rollouts, user targeting, and multivariate flags. The session replay feature records user sessions with DOM snapshots, correlating them with analytics events.
PostHog can be self-hosted for teams with data privacy requirements, or used as a managed cloud service with a generous free tier (1M events/month, 5K sessions).
When to Use
Choose PostHog when you need product analytics alongside feature flags and experimentation. It is ideal for product-led teams that want a unified platform without managing multiple analytics tools.
Getting Started
npm install posthog-js
import posthog from 'posthog-js'
posthog.init('your-project-key', {
api_host: 'https://us.i.posthog.com'
})
posthog.capture('page_view', { page: '/home' })