DatriseAI-first ETL

LinkedIn Ads Holistics

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

How Datrise loads LinkedIn Ads into Holistics

Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

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

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How LinkedIn Ads entities map to Holistics

LinkedIn Ads entityHolistics objectNotes
B2B campaign metricslinkedin_ads_b2b_campaign_metricsid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the LinkedIn Ads to Holistics sync stay up to date?

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

Related pipelines

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