DatriseAI-first ETL

Campaign Monitor Mode

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

How Datrise loads Campaign Monitor into Mode

Datrise syncs Campaign Monitor's records, events, and configuration objects into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

Campaign Monitor: SaaS or API data source for analytics and warehouse sync.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Campaign Monitor entities map to Mode

Campaign Monitor entityMode objectNotes
recordscampaign_monitor_recordsid PK · custom fields → flattened columns for SQL and notebooks
eventscampaign_monitor_eventstemporal columns events
configuration objectscampaign_monitor_configuration_objectsid PK · linked to campaign_monitor_records

FAQ

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

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

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

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

Related pipelines

Early access

Connect Campaign Monitor to Mode the easy way

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