DatriseAI-first ETL

Meta Ads MicroStrategy

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

How Datrise loads Meta Ads into MicroStrategy

Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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

Meta Ads: Facebook and Instagram ad source for spend and engagement.

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

How Meta Ads entities map to MicroStrategy

Meta Ads entityMicroStrategy objectNotes
campaign spendmeta_ads_campaign_spendid PK · custom fields → flattened columns
impressionsmeta_ads_impressionsid PK · linked to meta_ads_campaign_spend
clicksmeta_ads_clicksid PK · linked to meta_ads_campaign_spend
conversionsmeta_ads_conversionsid PK · linked to meta_ads_campaign_spend

FAQ

How does Datrise handle Meta 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 Meta 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

Early access

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