Listrak to Birst Integration
AI-first ETL from Listrak into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Listrak into Birst
Datrise syncs Listrak's contacts, lists, campaigns, message events, orders, and segments into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Listrak: Retail email, SMS, and behavioral marketing.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Listrak entities map to Birst
| Listrak entity | Birst object | Notes |
|---|---|---|
| contacts | listrak_contacts | id PK · custom fields → flattened columns |
| lists | listrak_lists | id PK · linked to listrak_contacts |
| campaigns | listrak_campaigns | id PK · linked to listrak_contacts |
| message events | listrak_message_events | date/time dimensions events |
FAQ
How does Datrise handle Listrak's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Listrak to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Listrak
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