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PostHog is a product analytics platform that helps teams measure how people use a product, inspect session recordings for context, and manage or test product changes. It combines event-based analytics with tools such as session replay, feature flags, experiments, and web analytics. Teams can use PostHog Cloud or run a self-hosted deployment; the latter gives them control of their infrastructure but also makes them responsible for operating and scaling it.

What does PostHog do?

PostHog brings together tools for understanding product usage, connecting product data, debugging issues, and shipping or testing changes. Its current product documentation lists Product Analytics, Session Replay, Feature Flags, Surveys, Web Analytics, Experiments, Managed Warehouse, a customer data platform (CDP), and other apps. The available scope can change over time.

The central idea is to connect measurement with action: examine a pattern in product activity, investigate relevant user sessions, then use tools such as feature flags or experiments to manage a change. Analytics can show what changed and where users encountered friction; it does not by itself prove why a metric moved.

PostHog’s product overview describes the platform, while its documentation index provides the current list of apps and guides.

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How does PostHog product analytics work?

Product Analytics organizes activity as events associated with people and properties. Events describe actions or occurrences, while properties add context—for example, which page or product version was involved. PostHog says its autocapture can collect pageviews, clicks, and form submissions without adding tracking code for each of those interactions. Teams can also instrument events for product-specific actions.

Those events can be explored in several ways:

  • Trends: track how a metric changes over time.
  • Funnels: see how many users progress through a sequence of steps and where conversion drops.
  • Retention: examine whether users return after an initial action.
  • Paths: explore navigation patterns and where users go next or drop off.
  • SQL: query product data directly for questions that do not fit a standard report.

PostHog’s Product Analytics page describes these capabilities, and its Product Analytics documentation explains the shared events, persons, and properties model. Because several tools can work with that shared data, an analyst can connect a chart to related session replay, feature-flag, or experiment context.

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How analytics, recordings, and product changes fit together

  1. Collect activity. Use autocapture for supported interactions or instrument events that reflect meaningful product actions.
  2. Find a pattern. Use trends, funnels, retention, paths, or SQL to investigate a behavior or change in a metric.
  3. Inspect context. Review relevant session recordings to see what happened during individual visits. A recording can add qualitative context, but it does not establish that one observed behavior caused an aggregate metric change.
  4. Manage or test a change. Use a feature flag to control who receives a change, or an experiment to compare variants. Interpret the result alongside the product context and other evidence.

This workflow links quantitative observations to individual sessions and product changes without treating correlation as proof of cause. PostHog’s Feature Flags page describes its rollout controls.

PostHog Cloud or self-hosted: which should you choose?

PostHog presents Cloud and self-hosting as deployment options. The company says the self-hosted version is the same product as Cloud, but the underlying infrastructure differs. Its self-hosted Docker Compose deployment is available under an MIT license. PostHog says Cloud is the better experience for most users.

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Consideration PostHog Cloud Self-hosted
Operations PostHog manages the service. You run or purchase infrastructure, manage deployment, choose exposed URLs, and handle scaling.
Control PostHog operates the hosting environment. You control your own infrastructure, subject to the deployment you build and operate.
Support and guarantees Cloud is the managed option. PostHog says it does not manage self-hosted instances or provide paid support plans or managed-instance guarantees for them.
Cost considerations Compare current usage allowances and charges with expected volume. The Docker Compose deployment is free under the MIT license, but infrastructure and staff time still have costs.

Self-hosting is not, by itself, proof that a deployment meets a particular privacy, security, or regulatory requirement. Validate those requirements against the architecture and controls you actually operate. PostHog’s self-hosting documentation outlines the deployment and operational responsibilities.

What does PostHog cost?

PostHog’s product pages listed the following vendor-published usage allowances and starting unit prices when checked on October 4, 2026. Pricing can change, and a starting unit price is not an estimate of a particular team’s bill; check the current pricing page before making a cost decision.

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Product Published allowance and starting price Source
Product Analytics 1,000,000 events per month free; starting price of $0.00005 per event. PostHog Product Analytics
Feature Flags 1,000,000 requests per month free; starting price of $0.0001 per request. PostHog Feature Flags

These are product-page figures published by PostHog, not independent cost estimates. Actual charges depend on usage and the current pricing structure. For self-hosting, compare expected volume not only with infrastructure expense but also with the time required to deploy, maintain, and scale the service.

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What does PostHog Web Analytics measure?

PostHog describes Web Analytics as a way to report on visitors, pageviews, sessions, bounce rate, referrers, UTM tags, and Core Web Vitals. Its documentation says pageviews and sessions come from the SDK, while channels and campaigns are derived from entry referrers and UTM tags.

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The product offers an optional mode that skips cookies for web analytics. That is a product capability, not a guarantee that a website needs no consent controls: other technologies, data uses, and the laws that apply to a site may also matter. See the Web Analytics product page and Web Analytics documentation for details.

Is PostHog open source?

PostHog describes itself as an open-source platform, and it offers its self-hosted Docker Compose deployment under the MIT license. The license and deployment option make self-hosting possible, but they do not remove the work of operating infrastructure or automatically settle an organization’s security and compliance requirements. Teams choosing Cloud use the managed service instead of running that deployment themselves.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.