DatriseAI-first ETL

Campaign Manager 360 to Looker Integration

AI-first ETL from Campaign Manager 360 into Looker. Governed entities, incremental sync, typed landing tables.

How Datrise loads Campaign Manager 360 into Looker

Datrise syncs Campaign Manager 360's campaigns, placements, creatives, impressions, clicks, and conversions into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

Campaign Manager 360: Ad serving and campaign measurement for display.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Campaign Manager 360 entities map to Looker

Campaign Manager 360 entityLooker objectNotes
campaignsdoubleclick_campaign_manager_campaignsid PK · custom fields → flattened columns (nested fields expanded for modeling)
placementsdoubleclick_campaign_manager_placementsid PK · linked to doubleclick_campaign_manager_campaigns
creativesdoubleclick_campaign_manager_creativesid PK · linked to doubleclick_campaign_manager_campaigns
impressionsdoubleclick_campaign_manager_impressionsid PK · linked to doubleclick_campaign_manager_campaigns

FAQ

How does Datrise handle Campaign Manager 360's custom fields in Looker?

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

How does the Campaign Manager 360 to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

Early access

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