Google Analytics 4 to Looker Studio Integration

How Datrise loads Google Analytics 4 into Looker Studio

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Google Analytics 4: Event-based web and app analytics from Google.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Google Analytics 4 entities map to Looker Studio

Google Analytics 4 entity	Looker Studio object	Notes
events	`ga4_events`	date dimension columns events
users	`ga4_users`	id PK · linked to ga4_events
sessions	`ga4_sessions`	id PK · linked to ga4_events
traffic sources	`ga4_traffic_sources`	id PK · linked to ga4_events

FAQ

How does Datrise handle Google Analytics 4's custom fields in Looker Studio?

Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.

How does the Google Analytics 4 to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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