DatriseAI-first ETL

Snapchat Marketing Looker Studio

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

How Datrise loads Snapchat Marketing into Looker Studio

Datrise syncs Snapchat Marketing's records, events, and configuration objects 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

Snapchat Marketing: SaaS or API data source for analytics and warehouse sync.

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

How Snapchat Marketing entities map to Looker Studio

Snapchat Marketing entityLooker Studio objectNotes
recordssnapchat_marketing_recordsid PK · custom fields → flattened columns for chart fields
eventssnapchat_marketing_eventsdate dimension columns events
configuration objectssnapchat_marketing_configuration_objectsid PK · linked to snapchat_marketing_records

FAQ

How does Datrise handle Snapchat Marketing'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 Snapchat Marketing to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Snapchat Marketing to Looker Studio the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.