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Analytics · Migration guide

Moving from Google Analytics to PostHog

Reviewed by Switchpoint Editors ·

Why teams switch

The honest reasons

What's wrong with Google Analytics

  • GA4 is hard to learn
  • Sampling on big datasets
  • Privacy/GDPR friction

What PostHog does better

  • Open source
  • Replay + flags included

Switching cost

What it actually takes

There's no migrating GA4 history — competitors start from day-one. Run in parallel for 90 days so you have YoY numbers. Painful part is rewriting dashboards and re-instrumenting events; cleanest cutover is a fresh schema, not a port.

Step by step

A safe cutover plan

  1. 1

    Audit

    Inventory every workspace, project, or asset in Google Analytics you actually use. Most teams discover 30-40% is dormant.

  2. 2

    Export

    Run Google Analytics's official export. Note exactly which fields, relations, or attachments lose fidelity — those are your manual rebuild.

  3. 3

    Rebuild structure in PostHog

    Set up PostHog skeleton (workspaces, teams, permissions) before importing. Importing into an empty workspace creates a mess.

  4. 4

    Import cleanest layer first

    Bring in the data that maps 1:1. Defer custom fields, automations, and integrations.

  5. 5

    Parallel run for 1-2 weeks

    Keep Google Analytics read-only. Anything you find missing in PostHog, fix during this window.

  6. 6

    Cut over integrations

    Switch every webhook, Zap, link, and bookmark. This is the longest part — budget for it.

  7. 7

    Archive, don't delete

    Keep Google Analytics archived for 90 days. You will need it.

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