DatriseAI-first ETL

Microsoft Advertising Looker Studio

AI-first ETL from Microsoft Advertising into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft Advertising into Looker Studio

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Microsoft Advertising: Paid search and audience ads on Microsoft properties.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Microsoft Advertising entities map to Looker Studio

Microsoft Advertising entityLooker Studio objectNotes
campaignsbing_ads_campaignsid PK · custom fields → flattened columns for chart fields
ad groupsbing_ads_ad_groupsid PK · linked to bing_ads_campaigns
keywordsbing_ads_keywordsid PK · linked to bing_ads_campaigns
spendbing_ads_spendid PK · linked to bing_ads_campaigns

FAQ

How does Datrise handle Microsoft Advertising's custom fields in Looker Studio?

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

How does the Microsoft Advertising to Looker Studio sync stay up to date?

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

Related pipelines

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