Gainsight to Looker Studio Integration

How Datrise loads Gainsight into Looker Studio

Datrise syncs Gainsight's customers, health scores, playbooks, tasks, surveys, and usage metrics 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

Gainsight: Customer success health scoring and playbooks.

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

How Gainsight entities map to Looker Studio

Gainsight entity	Looker Studio object	Notes
customers	`gainsight_customers`	id PK · custom fields → flattened columns for chart fields
health scores	`gainsight_health_scores`	id PK · linked to gainsight_customers
playbooks	`gainsight_playbooks`	id PK · linked to gainsight_customers
tasks	`gainsight_tasks`	id PK · linked to gainsight_customers

FAQ

How does Datrise handle Gainsight'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 Gainsight 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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