DatriseAI-first ETL

Listrak to Supabase Integration

AI-first ETL from Listrak into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Listrak into Supabase

Datrise syncs Listrak's contacts, lists, campaigns, message events, orders, and segments into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Listrak: Retail email, SMS, and behavioral marketing.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Listrak entities map to Supabase

Listrak entitySupabase objectNotes
contactslistrak_contactsid PK · custom fields → jsonb columns
listslistrak_listsid PK · linked to listrak_contacts
campaignslistrak_campaignsid PK · linked to listrak_contacts
message eventslistrak_message_eventstimestamptz events

FAQ

How does Datrise handle Listrak's custom fields in Supabase?

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

How does the Listrak to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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