DatriseAI-first ETL

Salesforce Marketing Cloud Looker Studio

AI-first ETL from Salesforce Marketing Cloud into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Marketing Cloud into Looker Studio

Datrise syncs Salesforce Marketing Cloud's records, events, and configuration 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

Salesforce Marketing Cloud: SaaS or API data source for analytics and warehouse sync.

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

How Salesforce Marketing Cloud entities map to Looker Studio

Salesforce Marketing Cloud entityLooker Studio objectNotes
recordssalesforce_marketing_cloud_recordsid PK · custom fields → flattened columns for chart fields
eventssalesforce_marketing_cloud_eventsdate dimension columns events
configuration objectssalesforce_marketing_cloud_configuration_objectsid PK · linked to salesforce_marketing_cloud_records

FAQ

How does Datrise handle Salesforce Marketing Cloud'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 Salesforce Marketing Cloud 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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