DatriseAI-first ETL

Salesforce Pardot to Looker Integration

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

How Datrise loads Salesforce Pardot into Looker

Datrise syncs Salesforce Pardot's prospects, campaigns, list emails, forms, lead scores, and engagement history 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

Salesforce Pardot: B2B marketing automation scoring and nurturing leads.

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

How Salesforce Pardot entities map to Looker

Salesforce Pardot entityLooker objectNotes
prospectssalesforce_pardot_prospectsid PK · custom fields → flattened columns (nested fields expanded for modeling)
campaignssalesforce_pardot_campaignsid PK · linked to salesforce_pardot_prospects
list emailssalesforce_pardot_list_emailsid PK · linked to salesforce_pardot_prospects
formssalesforce_pardot_formsid PK · linked to salesforce_pardot_prospects

FAQ

How does Datrise handle Salesforce Pardot'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 Salesforce Pardot to Looker sync stay up to date?

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

Related pipelines

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