DatriseAI-first ETL

Salesforce NPSP to Looker Studio Integration

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

How Datrise loads Salesforce NPSP into Looker Studio

Datrise syncs Salesforce NPSP's contacts, households, opportunities, recurring donations, general accounting units, and campaigns 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 NPSP: Nonprofit Success Pack for donations and household giving.

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

How Salesforce NPSP entities map to Looker Studio

Salesforce NPSP entityLooker Studio objectNotes
contactssalesforce_npsp_contactsid PK · custom fields → flattened columns for chart fields
householdssalesforce_npsp_householdsid PK · linked to salesforce_npsp_contacts
opportunitiessalesforce_npsp_opportunitiesid PK · linked to salesforce_npsp_contacts
recurring donationssalesforce_npsp_recurring_donationsid PK · linked to salesforce_npsp_contacts

FAQ

How does Datrise handle Salesforce NPSP'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 NPSP 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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