DatriseAI-first ETL

AppsFlyer Looker Studio

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

How Datrise loads AppsFlyer into Looker Studio

Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints 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

AppsFlyer: Mobile attribution and marketing analytics platform.

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

How AppsFlyer entities map to Looker Studio

AppsFlyer entityLooker Studio objectNotes
installsappsflyer_installsid PK · custom fields → flattened columns for chart fields
in-app eventsappsflyer_in_app_eventsdate dimension columns events
campaignsappsflyer_campaignsid PK · linked to appsflyer_installs
attribution touchpointsappsflyer_attribution_touchpointsid PK · linked to appsflyer_installs

FAQ

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

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

Related pipelines

Early access

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