Pendo → Looker Studio
AI-first ETL from Pendo into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into Looker Studio
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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
Pendo: Product analytics and in-app guidance for SaaS teams.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Pendo entities map to Looker Studio
| Pendo entity | Looker Studio object | Notes |
|---|---|---|
| events | pendo_events | date dimension columns events |
| guides | pendo_guides | id PK · linked to pendo_events |
| NPS | pendo_nps | id PK · linked to pendo_events |
| feature adoption | pendo_feature_adoption | id PK · linked to pendo_events |
FAQ
How does Datrise handle Pendo'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 Pendo to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Pendo
More sources for Looker Studio
Early access
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