Meta Ads → Google BigQuery
AI-first ETL from Meta Ads into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into Google BigQuery
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Meta Ads: Facebook and Instagram ad source for spend and engagement.
Google BigQuery: Serverless analytics warehouse on GCP.
How Meta Ads entities map to Google BigQuery
| Meta Ads entity | Google BigQuery object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| 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 Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Meta Ads to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
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Early access
Connect Meta Ads to Google BigQuery 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.