DatriseAI-first ETL

Maximizer CRM Looker Studio

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

How Datrise loads Maximizer CRM into Looker Studio

Datrise syncs Maximizer CRM's contacts, accounts, deals, activities, and lifecycle events 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

Maximizer CRM: CRM for SMB teams managing pipeline, contacts, and customer activity.

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

How Maximizer CRM entities map to Looker Studio

Maximizer CRM entityLooker Studio objectNotes
contactsmaximizer_contactsid PK · custom fields → flattened columns for chart fields
accountsmaximizer_accountsid PK · linked to maximizer_contacts
dealsmaximizer_dealsid PK · linked to maximizer_contacts
activitiesmaximizer_activitiesdate dimension columns events

FAQ

How does Datrise handle Maximizer CRM'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 Maximizer CRM 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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