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PostHog versus Google Analytics is a measurement change

The difficult part is not installing another script. It is keeping useful questions, consent rules, and reporting habits intact while the data model changes.

PostHog and Google Analytics can both measure a website. They are not the same product. Google Analytics is often used for web measurement and marketing reporting. PostHog brings product analytics together with tools such as session replay, feature flags, and experiments. The right choice depends on the decisions your team needs to make.

Map questions before events

Write down the questions that matter. Which campaign brought a qualified visit? Where do people stop? Which feature is used after onboarding? Which change improved activation? Then map each question to events, properties, identity rules, and an owner. Copying event names without copying meaning creates a clean-looking broken report.

History does not move by itself

A new analytics system starts with a new collection model. Historical data may need an export, a warehouse, a static reference, or a clear cutover date. Decide whether old and new numbers can be compared. Record changes to session rules, users, attribution, consent, retention, and timezone.

Privacy sits in the collection path

A private dashboard does not make a public collection endpoint safe by itself. Limit what the endpoint accepts. Avoid sensitive values. Set consent and retention rules. Review identifiers, access, exports, deletion requests, and vendor or hosting location. PostHog can be configured in different ways. Google Analytics can also be used with different controls. The product name is not the privacy policy.

Expect two teams to disagree

Marketing may need acquisition and campaign reporting. Product may need funnels and feature use. Engineering may need a stable event contract. Legal or privacy leads may need a clear collection record. A pilot should include one report from each group and make the trade-offs visible before the old system is removed.

A useful next step

Use the PostHog vs Google Analytics calculator →

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