DatriseAI-first ETL

Marketo Bulk to Looker Studio Integration

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

How Datrise loads Marketo Bulk into Looker Studio

Datrise syncs Marketo Bulk's leads, activities, program memberships, email events, lists, and custom objects 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

Marketo Bulk: Bulk export of Marketo lead and activity history.

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

How Marketo Bulk entities map to Looker Studio

Marketo Bulk entityLooker Studio objectNotes
leadsmarketo_bulk_leadsid PK · custom fields → flattened columns for chart fields
activitiesmarketo_bulk_activitiesdate dimension columns events
program membershipsmarketo_bulk_program_membershipsid PK · linked to marketo_bulk_leads
email eventsmarketo_bulk_email_eventsdate dimension columns events

FAQ

How does Datrise handle Marketo Bulk'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 Marketo Bulk to Looker Studio sync stay up to date?

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

Related pipelines

Early access

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