Facebook Ads → Mode
AI-first ETL from Facebook Ads into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Facebook Ads into Mode
Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Facebook Ads: Meta paid social campaigns and performance insights.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Facebook Ads entities map to Mode
| Facebook Ads entity | Mode object | Notes |
|---|---|---|
| campaigns | facebook_ads_campaigns | id PK · custom fields → flattened columns for SQL and notebooks |
| ad sets | facebook_ads_ad_sets | id PK · linked to facebook_ads_campaigns |
| ads | facebook_ads_ads | id PK · linked to facebook_ads_campaigns |
| spend | facebook_ads_spend | id PK · linked to facebook_ads_campaigns |
FAQ
How does Datrise handle Facebook Ads's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Facebook Ads to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Facebook Ads
Early access
Connect Facebook Ads to Mode 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.