datascale
Analytics

PostHog: Self-Hosted Product Analytics and Experiments

Open-source product analytics, feature flags, and experimentation in one tool. PostHog is self-hostable in the EU region and works as an assignment layer for server-side experiments.

  • product analytics, session replay, flags, and experiments in one
  • self-hostable in the EU region, data in your control
  • open source, no vendor lock-in
  • assignment layer for server-side experimentation

PostHog combines product analytics, session replay, feature flags, and experimentation in one tool. Open source, self-hostable in the EU region, and usable as an assignment layer for server-side experiments.

What is PostHog?

PostHog is an all-in-one platform for product data. Instead of running four tools for funnels, session replay, feature flags, and experiments, everything sits in one place, on a shared event base. The big advantage for EU setups: it's self-hostable, so the data stays in your region and control.

For experimentation, the flag engine is especially relevant. It works as an assignment layer for server-side tests, assigning variants on the server instead of in the browser.

When PostHog fits, and when it doesn't

A fit when:

  • you want product funnels, flags, and experiments from one source
  • the data should sit self-hosted in the EU
  • a product or growth team works with events
  • server-side experimentation needs an assignment layer

Less so when:

  • pure web analytics is enough
  • nobody operates and maintains the tool
  • there's no product with meaningful user behaviour

PostHog in the stack

PostHog doesn't replace the warehouse; it supplies the product-behaviour layer above it:

FunctionRole
Product analyticsfunnels, retention, paths
Session replayqualitative behaviour
Feature flagsrollouts and assignment
ExperimentationA/B and server-side tests

The events can also be mirrored into the BigQuery warehouse, where they join the marketing data.

What Datascale builds with PostHog

We set PostHog up and connect it to your experimentation infrastructure:

  • self-hosted setup in the EU region
  • event design for product analytics
  • feature-flag and experiment configuration
  • edge or middleware assignment for server-side tests
  • an exposure pipeline for clean analysis
  • connection of the events to the warehouse

The full picture lives in CRO & Journey Intelligence. For server-side experimentation we build the assignment and exposure layer. The variant itself, the design and copy, stays with your team.

Topical context

  • PostHog setup
  • product analytics
  • PostHog feature flags
  • PostHog self-hosted EU
  • experimentation tool
  • PostHog GDPR
  • PostHog integration agency
  • PostHog implementation

Get the setup built right, from Measurement Blueprint to monitoring and rollback.

Book an Audit Sprint →
  • Q01
    What is PostHog?

    PostHog is an open-source platform that combines product analytics, session replay, feature flags, and experimentation in one tool. It runs as cloud or self-hosted, including an EU region.

  • Q02
    Is PostHog GDPR-compliant?

    PostHog can be self-hosted in an EU region, which keeps the data in your control. As always, compliance comes from the setup: consent, PII handling, and a documented legal basis are part of it, not the tool alone.

  • Q03
    When is PostHog worth it?

    When you want product funnels, feature flags, and experiments from a self-hostable source. For pure web analytics, running PostHog is overhead. A leaner, cookieless analytics fits better there.

  • Q04
    PostHog for server-side experimentation?

    Yes. The feature-flag and experiment functions work as an assignment layer for server-side experiments. Datascale builds the edge or middleware assignment and the exposure pipeline; the variant itself stays with the dev team.

  • Q05
    PostHog or GrowthBook?

    Both are self-hostable and open source. PostHog is the broader suite with analytics, replay, and experiments. GrowthBook is more focused on feature flags and experimentation. Which fits depends on whether you want a suite or a specialised tool.

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