Meta Ads → Looker Studio
AI-first ETL from Meta Ads into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into Looker Studio
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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
Meta Ads: Facebook and Instagram ad source for spend and engagement.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Meta Ads entities map to Looker Studio
| Meta Ads entity | Looker Studio object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → flattened columns for chart fields |
| impressions | meta_ads_impressions | id PK · linked to meta_ads_campaign_spend |
| clicks | meta_ads_clicks | id PK · linked to meta_ads_campaign_spend |
| conversions | meta_ads_conversions | id PK · linked to meta_ads_campaign_spend |
FAQ
How does Datrise handle Meta 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 Meta Ads to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Meta Ads
More sources for Looker Studio
Early access
Connect Meta Ads to Looker Studio the easy way
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