DatriseAI-first ETL

LinkedIn Ads Chartio

AI-first ETL from LinkedIn Ads into Chartio. Governed entities, incremental sync, typed landing tables.

How Datrise loads LinkedIn Ads into Chartio

Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance 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

LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How LinkedIn Ads entities map to Chartio

LinkedIn Ads entityChartio objectNotes
B2B campaign metricslinkedin_ads_b2b_campaign_metricsid PK · custom fields → flattened columns for visual SQL
spendlinkedin_ads_spendid PK · linked to linkedin_ads_b2b_campaign_metrics
clickslinkedin_ads_clicksid PK · linked to linkedin_ads_b2b_campaign_metrics
leadslinkedin_ads_leadsid PK · linked to linkedin_ads_b2b_campaign_metrics

FAQ

How does Datrise handle LinkedIn 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 LinkedIn Ads to Chartio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect LinkedIn Ads to Chartio the easy way

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