Listrak to ThoughtSpot Integration

How Datrise loads Listrak into ThoughtSpot

Datrise syncs Listrak's contacts, lists, campaigns, message events, orders, and segments into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

Listrak: Retail email, SMS, and behavioral marketing.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Listrak entities map to ThoughtSpot

Listrak entity	ThoughtSpot object	Notes
contacts	`listrak_contacts`	id PK · custom fields → flattened columns for searchable fields
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 columns events

FAQ

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

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

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

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

Related pipelines

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