
The all-in-one platform for building successful products
PostHog is an open-source, all-in-one product analytics platform built for product engineers. It combines product analytics, session replay, feature flags, A/B testing, surveys, error tracking, and a data warehouse into a single platform, eliminating the need for multiple disconnected tools.
Event-based analytics with funnels, retention charts, user paths, and trend analysis to understand how users interact with your product.
Monitor web traffic, pageviews, sessions, and key engagement metrics with a lightweight, privacy-friendly analytics dashboard.
Watch real user sessions to diagnose issues, understand behavior, and see exactly how users interact with your product.
Safely roll out new features to specific user segments, measure impact, and decide whether to ship broadly or iterate.
Run experiments to test changes and measure their statistical impact on goal metrics with built-in significance calculations.
Create NPS, CSAT, and custom feedback surveys using no-code templates to collect user insights.
Track and resolve frontend and backend errors with stack traces, user context, and session replay integration.
Track user activation, retention, and feature adoption to understand what drives product engagement and conversion.
Use feature flags to gradually roll out features, then run A/B tests to measure impact before a full launch.
Combine session replays with error tracking to see exactly what users experienced when they encountered bugs.
Deploy PostHog on your own infrastructure to maintain full data sovereignty and meet compliance requirements.
Best for product teams replacing GA — combines web analytics with product analytics, experimentation, and session replay in one platform, ideal for SaaS companies that want to track the full user journey
Best foundation for SaaS activation optimization — the only platform that combines diagnosis (analytics + recordings) and experimentation (feature flags + A/B tests) without requiring multiple subscriptions.
Query PostHog events alongside CRM, payment, and support data using HogQL SQL queries without complex ETL pipelines.
Collect, unify, and route customer data across your stack with built-in integrations and event streaming.
Automatically track every click, pageview, and interaction without manually instrumenting each event.
Consolidate separate tools for analytics, session recording, feature flags, and surveys into a single platform.

The open-source AI-native vector database for search and retrieval