DatriseAI-first ETL

ConvertKit to Yellowfin Integration

AI-first ETL from ConvertKit into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads ConvertKit into Yellowfin

Datrise syncs ConvertKit's subscribers, forms, sequences, tags, broadcasts, and email events into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

ConvertKit: Email marketing built for creators.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How ConvertKit entities map to Yellowfin

ConvertKit entityYellowfin objectNotes
subscribersconvertkit_subscribersid PK · custom fields → flattened columns
formsconvertkit_formsid PK · linked to convertkit_subscribers
sequencesconvertkit_sequencesid PK · linked to convertkit_subscribers
tagsconvertkit_tagsid PK · linked to convertkit_subscribers

FAQ

How does Datrise handle ConvertKit's custom fields in Yellowfin?

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 Yellowfin types.

How does the ConvertKit to Yellowfin sync stay up to date?

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

Related pipelines

Early access

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