DatriseAI-first ETL

Localytics to Airtable Integration

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

How Datrise loads Localytics into Airtable

Datrise syncs Localytics's sessions, events, users, campaigns, push deliveries, and app profiles 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

Localytics: Mobile app analytics and push engagement.

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

How Localytics entities map to Airtable

Localytics entityAirtable objectNotes
sessionslocalytics_sessionsid PK · custom fields → long-text JSON or linked records for nested data
eventslocalytics_eventsdate/dateTime fields events
userslocalytics_usersid PK · linked to localytics_sessions
campaignslocalytics_campaignsid PK · linked to localytics_sessions

FAQ

How does Datrise handle Localytics'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 Localytics to Airtable sync stay up to date?

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

Related pipelines

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