DatriseAI-first ETL

Follow Up Boss Looker Studio

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

How Datrise loads Follow Up Boss into Looker Studio

Datrise syncs Follow Up Boss'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

Follow Up Boss: Real estate CRM for leads, listings, and agent follow-up.

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

How Follow Up Boss entities map to Looker Studio

Follow Up Boss entityLooker Studio objectNotes
contactsfollow_up_boss_contactsid PK · custom fields → flattened columns for chart fields
accountsfollow_up_boss_accountsid PK · linked to follow_up_boss_contacts
dealsfollow_up_boss_dealsid PK · linked to follow_up_boss_contacts
activitiesfollow_up_boss_activitiesdate dimension columns events

FAQ

How does Datrise handle Follow Up Boss'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 Follow Up Boss 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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