Meta Ads → Birst
AI-first ETL from Meta Ads into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into Birst
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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
Meta Ads: Facebook and Instagram ad source for spend and engagement.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Meta Ads entities map to Birst
| Meta Ads entity | Birst object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → flattened 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 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 Meta 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 Meta Ads
Early access
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