DatriseAI-first ETL

Google Ads Looker Studio

AI-first ETL from Google Ads into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Ads into Looker Studio

Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals 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 Ads: Paid media source for campaign and conversion metrics.

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

How Google Ads entities map to Looker Studio

Google Ads entityLooker Studio objectNotes
campaignsgoogle_ads_campaignsid PK · custom fields → flattened columns for chart fields
ad groupsgoogle_ads_ad_groupsid PK · linked to google_ads_campaigns
spendgoogle_ads_spendid PK · linked to google_ads_campaigns
clicksgoogle_ads_clicksid PK · linked to google_ads_campaigns

FAQ

How does Datrise handle Google Ads'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 Ads to Looker Studio sync stay up to date?

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

Related pipelines

Early access

Connect Google Ads to Looker Studio the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.