DatriseAI-first ETL

Follow Up Boss to Mode Integration

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

How Datrise loads Follow Up Boss into Mode

Datrise syncs Follow Up Boss's leads, people, deals, action plans, calls, and agent assignments into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

Follow Up Boss: Real estate lead routing and agent follow-up cadences.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Follow Up Boss entities map to Mode

Follow Up Boss entityMode objectNotes
leadsfollow_up_boss_leadsid PK · custom fields → flattened columns for SQL and notebooks
peoplefollow_up_boss_peopleid PK · linked to follow_up_boss_leads
dealsfollow_up_boss_dealsid PK · linked to follow_up_boss_leads
action plansfollow_up_boss_action_plansid PK · linked to follow_up_boss_leads

FAQ

How does Datrise handle Follow Up Boss's custom fields in Mode?

Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.

How does the Follow Up Boss to Mode sync stay up to date?

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

Related pipelines

Early access

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