DatriseAI-first ETL

Campaign Monitor to Domo Integration

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

How Datrise loads Campaign Monitor into Domo

Datrise syncs Campaign Monitor's subscribers, campaigns, lists, segments, email events, and automations into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Campaign Monitor: Email campaign delivery and subscriber management.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Campaign Monitor entities map to Domo

Campaign Monitor entityDomo objectNotes
subscriberscampaign_monitor_subscribersid PK · custom fields → flattened columns for Magic ETL
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 Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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