Google Analytics 4
by Google
GA4 measures sites and apps as events, with conversions, audiences and reports on traffic sources, landing pages and engagement. Explorations in the interface are bound by data retention settings. A daily copy in your own Lake keeps reports beyond that window and lets sessions be joined to orders, leads and ad costs from every platform.
- Category
- Analytics & Attribution
- Type
- Web analytics
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0, Service account key
02Data
What you can sync.
- Reports
- Events
- Conversions
- Audiences
- Realtime metrics
Keep your full Google Analytics 4 history in your own Lake and ask an AI Mind what changed, where and why.
Need more? Name any other Google Analytics 4 data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
- A service account key
Google Analytics 4 uses OAuth 2.0 (client ID, client secret, refresh token) or a service account key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Google if you need help.
04Questions
Questions you can answer.
Once Google Analytics 4 data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which landing pages bring sessions that turn into paying customers, not just key events?
- What is cost per engaged session by source once ad spend is joined from each platform?
- Which GA4 audiences grew last quarter, and how much revenue did they produce in our order system?
- Where do GA4 purchase counts differ from actual orders, by device and browser?
- Which traffic sources show high engagement rate but low conversion?
05How it works
How it works in DataMind.
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Pick Google Analytics 4.
Open Lake, pick Google Analytics 4 in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Google Analytics 4 API docs.
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Answer a few questions.
The AI reads the Google Analytics 4 documentation, then asks which credentials you will use, which data to sync (for example reports and events), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Google Analytics 4 data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Google Analytics 4.
Sources teams join with Google Analytics 4 in the Warehouse, each one connected the same way.
