DatriseAI-first ETL

Campaign Monitor to Tableau Integration

AI-first ETL from Campaign Monitor into Tableau. Governed entities, incremental sync, typed landing tables.

How Datrise loads Campaign Monitor into Tableau

Datrise syncs Campaign Monitor's subscribers, campaigns, lists, segments, email events, and automations into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

Campaign Monitor: Email campaign delivery and subscriber management.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Campaign Monitor entities map to Tableau

Campaign Monitor entityTableau objectNotes
subscriberscampaign_monitor_subscribersid PK · custom fields → flattened columns for Tableau fields
campaignscampaign_monitor_campaignsid PK · linked to campaign_monitor_subscribers
listscampaign_monitor_listsid PK · linked to campaign_monitor_subscribers
segmentscampaign_monitor_segmentsid PK · linked to campaign_monitor_subscribers

FAQ

How does Datrise handle Campaign Monitor's custom fields in Tableau?

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

How does the Campaign Monitor to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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