Listrak to PostgreSQL Integration
AI-first ETL from Listrak into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Listrak into PostgreSQL
Datrise syncs Listrak's contacts, lists, campaigns, message events, orders, and segments into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Listrak: Retail email, SMS, and behavioral marketing.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Listrak entities map to PostgreSQL
| Listrak entity | PostgreSQL object | Notes |
|---|---|---|
| contacts | listrak_contacts | id PK · custom fields → jsonb columns |
| lists | listrak_lists | id PK · linked to listrak_contacts |
| campaigns | listrak_campaigns | id PK · linked to listrak_contacts |
| message events | listrak_message_events | timestamptz events |
FAQ
How does Datrise handle Listrak's custom fields in PostgreSQL?
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 PostgreSQL types.
How does the Listrak to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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