Meta Ads → Chartio
AI-first ETL from Meta Ads into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into Chartio
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Meta Ads: Facebook and Instagram ad source for spend and engagement.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Meta Ads entities map to Chartio
| Meta Ads entity | Chartio object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → flattened columns for visual SQL |
| 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Meta Ads to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Meta Ads
Early access
Connect Meta Ads to Chartio the easy way
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