DatriseAI-first ETL

ActiveCampaign Looker Studio

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

How Datrise loads ActiveCampaign into Looker Studio

Datrise syncs ActiveCampaign's contacts, automations, campaigns, and sales pipeline updates 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

ActiveCampaign: CRM plus marketing automation and journeys.

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

How ActiveCampaign entities map to Looker Studio

ActiveCampaign entityLooker Studio objectNotes
contactsactivecampaign_contactsid PK · custom fields → flattened columns for chart fields
automationsactivecampaign_automationsid PK · linked to activecampaign_contacts
campaignsactivecampaign_campaignsid PK · linked to activecampaign_contacts
sales pipeline updatesactivecampaign_sales_pipeline_updatesid PK · linked to activecampaign_contacts

FAQ

How does Datrise handle ActiveCampaign'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 ActiveCampaign 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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