DatriseAI-first ETL

MoEngage Looker Studio

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

How Datrise loads MoEngage into Looker Studio

Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals 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

MoEngage: Customer engagement source for campaigns and retention metrics.

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

How MoEngage entities map to Looker Studio

MoEngage entityLooker Studio objectNotes
engagement eventsmoengage_engagement_eventsdate dimension columns events
campaign performancemoengage_campaign_performanceid PK · linked to moengage_engagement_events
retention behavior signalsmoengage_retention_behavior_signalsid PK · linked to moengage_engagement_events

FAQ

How does Datrise handle MoEngage'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 MoEngage 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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