PostHog

What is PostHog?

PostHog is a comprehensive product analytics platform designed to help teams understand user behavior and improve their digital products. It combines multiple tools such as event-based analytics, session replays, feature flagging, A/B testing, surveys, and data warehousing into a single platform. PostHog supports autocapture of frontend events with minimal setup and offers full SQL access to data for advanced analysis. Its open-source nature allows self-hosting and full control over customer data, making it suitable for startups to enterprises aiming to optimize product experiences and growth.

Key Features

• Unified Product Analytics

  Event-based analytics with autocapture, funnels, retention, cohorts, and SQL querying to deeply understand user behavior.

• Session Replay & Heatmaps

  Record and replay user sessions alongside heatmaps to diagnose issues and visualize user interactions on web and mobile.

• Feature Flags & Experiments

  Manage feature rollouts safely with multivariate flags and run no-code A/B tests to validate product changes.

• Surveys & Qualitative Feedback

  Collect user feedback with customizable surveys integrated directly into experiments or product flows.

• Data Warehouse & Pipelines

  Import and query external data alongside PostHog data, with real-time pipelines to send data to over 25 external tools.

• Open Source & Full Data Control

  Self-host or use cloud options with full API access, SQL querying, and compliance-friendly data privacy controls.

Use Cases

• Product Growth & Optimization : Analyze user funnels, retention, and behavior patterns to identify friction points and improve conversion rates.
• Feature Rollout Management : Safely release new features to targeted user segments and measure impact through integrated experiments.
• User Experience Troubleshooting : Use session replays and heatmaps to understand user interactions and quickly diagnose UX or technical issues.
• Customer Feedback Integration : Gather qualitative insights via surveys tied to experiments or product usage for informed decision-making.
• Data-Driven Decision Making : Leverage SQL access and data warehouse integrations to perform custom analyses and unify product and business data.

FAQs