DatriseAI-first ETL

Klaviyo Airtable

AI-first ETL from Klaviyo into Airtable. Governed entities, incremental sync, typed landing tables.

How Datrise loads Klaviyo into Airtable

Datrise syncs Klaviyo's profiles, segments, flows, campaigns, and attributed revenue into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.

Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.

Ideal for operational workflows and light CRM views in Airtable.

Endpoints

Klaviyo: E-commerce marketing automation with email and SMS.

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Klaviyo entities map to Airtable

Klaviyo entityAirtable objectNotes
profilesklaviyo_profilesid PK · custom fields → long-text JSON or linked records for nested data
segmentsklaviyo_segmentsid PK · linked to klaviyo_profiles
flowsklaviyo_flowsid PK · linked to klaviyo_profiles
campaignsklaviyo_campaignsid PK · linked to klaviyo_profiles

FAQ

How does Datrise handle Klaviyo's custom fields in Airtable?

Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.

How does the Klaviyo to Airtable sync stay up to date?

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

Early access

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