Meta Ads → Tableau
AI-first ETL from Meta Ads into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into Tableau
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.
Ideal for visual analytics and dashboards in Tableau.
Endpoints
Meta Ads: Facebook and Instagram ad source for spend and engagement.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How Meta Ads entities map to Tableau
| Meta Ads entity | Tableau object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → flattened columns for Tableau 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 Tableau?
Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.
How does the Meta Ads to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
Related pipelines
More destinations for Meta Ads
Early access
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