Google Ads → Birst
AI-first ETL from Google Ads into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Ads into Birst
Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Google Ads: Paid media source for campaign and conversion metrics.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Google Ads entities map to Birst
| Google Ads entity | Birst object | Notes |
|---|---|---|
| campaigns | google_ads_campaigns | id PK · custom fields → flattened columns |
| ad groups | google_ads_ad_groups | id PK · linked to google_ads_campaigns |
| spend | google_ads_spend | id PK · linked to google_ads_campaigns |
| clicks | google_ads_clicks | id PK · linked to google_ads_campaigns |
FAQ
How does Datrise handle Google Ads's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Google Ads to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Google Ads
Early access
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