zoom_in Click to enlarge

PostHog

▲ ▼

language

description PostHog Overview

Combining product analytics with tools for testing changes, PostHog helps software teams connect user behavior to product decisions. Session replay lets researchers inspect recorded interactions, while event analysis reveals where people leave a signup flow or stop using a feature. Feature flags control which users receive a change, and experiments support A/B comparisons. Surveys add feedback alongside observed behavior.

The platform suits product managers, UX researchers, and developers who want these tasks in one working environment. Its defining strength is the connection between investigating a problem and measuring a proposed improvement. Built-in tools can reduce reliance on separate services, but useful analysis still requires appropriate tracking and configuration. PostHog supports decisions about an application; it does not automatically fix the application itself.

help PostHog FAQ

Can PostHog replace separate tools for analytics, session replay, and feature flags?

For many product teams, yes. PostHog combines product analytics, session recordings, feature flags, experiments, surveys, and data pipelines in one platform.

Is PostHog open source or only a SaaS product?

PostHog is open source and can be self-hosted, while PostHog Cloud is the managed version. That is a major reason engineering teams compare it with Mixpanel, Amplitude, and FullStory.

What kind of events does PostHog track?

PostHog tracks product events such as signups, button clicks, page views, feature usage, and funnel steps. It can also autocapture frontend interactions when installed with its JavaScript snippet.

Does PostHog support A/B tests without another experimentation tool?

Yes. PostHog includes experiments tied to feature flags, so teams can test product changes and measure results against events already tracked in PostHog.

swap_horiz

Looking for PostHog alternatives? Compare top competitors ranked & scored

arrow_forward