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DatascaleIntegrationsAnalyticsGoogle Analytics 4 (GA4)

Google Analytics 4 (GA4)

Google · Web & Marketing Analytics

US-CloudAnalytics

Google Analytics 4 set up properly: Consent Mode v2, server-side wiring, BigQuery export from day one. The standard only earns its keep with clean architecture; we never leave the defaults untouched.

3.5of 5.0

Editorial overall score from 4 criteria. Not a vendor ranking, no paid placement.

Hosting · US-CloudPricing · Free; GA360 as enterprise licenseVendor · USAlast reviewed · Jul 2026copy updated · Aug 2026
Review methodology →

Criteria scores

How we arrive at 3.5.

Strengths

When you work in the Google marketing ecosystem, need Ads audiences or maintain an existing setup.

Limits

When consent-free measurement is mandatory or you need raw event data without sampling limits.

What we use it for

Our verdict.

We run GA4 server-side via sGTM, with BigQuery export from day one. We never leave the defaults untouched.

To the matching service →

3.5overall score
4criteria
US-Cloudoperating model
Jul 2026last reviewed

In depth

  • Event model and native Google Ads ecosystem
  • BigQuery export free, raw data from day one
  • Consent Mode v2 required, or you lose data
  • US cloud, needs a GDPR assessment

The web analytics standard. Huge ecosystem and a free BigQuery export, but consent-dependent, US cloud, and shipped with defaults nobody should leave untouched.

What is GA4?

Google Analytics 4 is the event-based successor to Universal Analytics and the de-facto web standard. Its strength is the ecosystem: native wiring into Google Ads, audiences, Search Console and the free BigQuery export. Its weakness is the defaults: US data flow, sampling in the UI, data loss without a clean consent setup.

When it fits, and when it doesn't

Good fit when:

  • Google Ads and audiences are part of the marketing stack
  • raw data should flow into the warehouse via BigQuery export
  • an existing setup needs care rather than replacement

Not the right call when:

  • consent-free measurement is mandatory
  • EU hosting is non-negotiable
  • the UI is meant to be the only analysis layer

What Datascale builds with GA4

We decide the architecture, then we build:

  • a measurement blueprint with clean event design
  • Consent Mode v2 wired correctly, default state verified
  • wiring through server-side GTM for stable data quality
  • BigQuery export from day one, modelling in the warehouse
  • an honest comparison against Plausible CE and Piwik PRO

The full picture lives in the matching service. We integrate GA4 where it is the best answer for your case, not as an end in itself. Related: Audit Sprint.

Whether GA4 is the right call for your setup or an EU alternative fits better: the GDPR analytics comparison settles it.

Sources

FAQ · 3 questions

The most common questions.

Different question? Write to us directly, reply within 48 h.

Not by default. GA4 runs in the US cloud and needs Consent Mode v2, IP anonymisation, a clean DPA and, depending on your risk profile, a server-side chain in front. Configured properly it is workable in practice; the verdict depends on your privacy setup.

GA4 wins through the Google Ads ecosystem and the free BigQuery export. If you need consent-free measurement or EU hosting, Plausible CE or Piwik PRO serve you better. Often the answer is both: GA4 for Ads, an EU tool as baseline measurement.

GA4 only exports raw data from the moment you activate it; there is nothing retroactive. Turn the export on after a year and you have lost a year of raw data. The export is free and takes minutes to enable.

Delivery

We set it up. Or tell you that you do not need it.

A tool switch without a concept only moves the problem. The Audit Sprint tells you whether it would gain you anything.