DatriseAI-first ETL

Smartengage to Looker Studio Integration

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

How Datrise loads Smartengage into Looker Studio

Datrise syncs Smartengage's subscribers, sequences, broadcasts, tags, message events, and custom fields 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

Smartengage: Messenger and email marketing automation.

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

How Smartengage entities map to Looker Studio

Smartengage entityLooker Studio objectNotes
subscriberssmartengage_subscribersid PK · custom fields → flattened columns for chart fields
sequencessmartengage_sequencesid PK · linked to smartengage_subscribers
broadcastssmartengage_broadcastsid PK · linked to smartengage_subscribers
tagssmartengage_tagsid PK · linked to smartengage_subscribers

FAQ

How does Datrise handle Smartengage'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 Smartengage 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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