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PostHog Analytics Integration

PostHog is a complete product analytics stack that you can seamlessly deploy on your infrastructure. Built for both data analysts and managers, PostHog gives you easy access to product analytics which you can perform at scale. It also gives you full control over all your user data.

DestinationEvent Stream

PostHog Analytics Integration

PostHog is a complete product analytics stack that you can seamlessly deploy on your infrastructure. Built for both data analysts and managers, PostHog gives you easy access to product analytics which you can perform at scale. It also gives you full control over all your user data.

DestinationEvent Stream

The RudderStack-PostHog integration allows you to track and route your customer events to PostHog in no time. To configure PostHog as a destination on the RudderStack dashboard, all you need is your PostHog Team API Key and the details of your PostHog instance; and the events will automatically start flowing to PostHog for further analytics.

By Adding PostHog Support for RudderStack, you can:

  • Capture information for every page viewed (along with the category and name of the page) and the associated user ID.
  • Record user events along with the properties associated with that event
  • Route the real-time customer event data to PostHog and perform analytics to create effective marketing funnels, boost conversions, and increase user retention.
Use the PostHog Analytics integration with other popular sources

.NET SDK

RudderStack SDKs

RudderStack PostHog Analytics Documentation

Refer to our step-by-step guide and start using PostHog Analytics today

About PostHog Analytics

PostHog is an open-source, self-hosted product analytics stack that can be easily integrated with your infrastructure. It gives you full control over how you manage your user data. With PostHog, you can easily analyze how user traffic flows through your website or app, and use the insights to improve visitor conversion and retention.
PostHog is built for data analysts and managers with easy access to product analytics, even at a massive scale.

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