DatriseAI-first ETL

LinkedIn Ads MicroStrategy

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

How Datrise loads LinkedIn Ads into MicroStrategy

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

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

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

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How LinkedIn Ads entities map to MicroStrategy

LinkedIn Ads entityMicroStrategy objectNotes
B2B campaign metricslinkedin_ads_b2b_campaign_metricsid PK · custom fields → flattened columns
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 MicroStrategy?

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

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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