Allbound to Looker Studio Integration

How Datrise loads Allbound into Looker Studio

Datrise syncs Allbound's partners, deal registrations, leads, content assets, learning tracks, and partner users 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

Allbound: Partner portal for enablement, content, and deal registration.

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

How Allbound entities map to Looker Studio

Allbound entity	Looker Studio object	Notes
partners	`allbound_partners`	id PK · custom fields → flattened columns for chart fields
deal registrations	`allbound_deal_registrations`	id PK · linked to allbound_partners
leads	`allbound_leads`	id PK · linked to allbound_partners
content assets	`allbound_content_assets`	id PK · linked to allbound_partners

FAQ

How does Datrise handle Allbound'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 Allbound 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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