Google Analytics 4 integration

Turn GA4 traffic into the denominator for product profit.

Grow or Die uses read-only Google Analytics access to find the GA4 web stream that matches your website and read finalized visitor and acquisition evidence.

Connect Google Analytics

What it reads

Traffic, acquisition, and product context

  • Accessible GA4 properties and web data-stream default URLs for domain matching.
  • Visitors, sessions, key events, landing pages, channel, source, medium, and campaign.
  • Country, region, city, device, browser, operating system, and realtime activity.
  • GA4-reported aggregate revenue as a visible fallback subtotal.

What it does not do

Read-only means read-only

  • No editing GA4 properties, streams, events, audiences, or attribution settings.
  • No importing saved Funnel Explorations; the Data API has no listing endpoint for them.
  • No treating aggregate GA4 revenue as a transaction-complete payment ledger.

How to connect

Grant the analytics.readonly scope

  1. Enable the Google Analytics Admin API and Google Analytics Data API in the OAuth project.
  2. Sign in with a Google account that can read the product’s GA4 property.
  3. Grant analytics.readonly access.
  4. Grow or Die lists accessible properties and selects the web stream whose default URL matches the connected website.

What it unlocks

Comparable visitor economics

GA4 supplies the visitor denominator, acquisition and geography breakdowns, previous-period comparison, and a separate realtime indicator. Pair it with Stripe, Lemon Squeezy, or Polar for trusted transaction revenue and with the server SDK for AI cost.

Current limits

Final dates stay separate from realtime

Headline economics use a common complete UTC window and exclude today and yesterday so analytics, payment, and model facts cover the same dates. Realtime users never enter contribution profit. GA4 revenue alone cannot make profit eligible.

Primary sources

Understand the Google API boundary

Review the official Google Analytics Admin API and Google Analytics Data API documentation.