LinkedIn Ads → Metabase
AI-first ETL from LinkedIn Ads into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads LinkedIn Ads into Metabase
Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How LinkedIn Ads entities map to Metabase
| LinkedIn Ads entity | Metabase object | Notes |
|---|---|---|
| B2B campaign metrics | linkedin_ads_b2b_campaign_metrics | id PK · custom fields → flattened columns for the question builder |
| spend | linkedin_ads_spend | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| clicks | linkedin_ads_clicks | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| leads | linkedin_ads_leads | id PK · linked to linkedin_ads_b2b_campaign_metrics |
FAQ
How does Datrise handle LinkedIn Ads's custom fields in Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the LinkedIn Ads to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for LinkedIn Ads
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