Retently to Airtable Integration
AI-first ETL from Retently into Airtable. Governed entities, incremental sync, typed landing tables.
How Datrise loads Retently into Airtable
Datrise syncs Retently's surveys, responses, customers, NPS scores, campaigns, and feedback comments 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
Retently: NPS and customer satisfaction survey tracking.
Airtable: Relational spreadsheet destination for ops and go-to-market teams.
How Retently entities map to Airtable
| Retently entity | Airtable object | Notes |
|---|---|---|
| surveys | retently_surveys | id PK · custom fields → long-text JSON or linked records for nested data |
| responses | retently_responses | id PK · linked to retently_surveys |
| customers | retently_customers | id PK · linked to retently_surveys |
| NPS scores | retently_nps_scores | id PK · linked to retently_surveys |
FAQ
How does Datrise handle Retently'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 Retently to Airtable sync stay up to date?
It runs incrementally — Datrise uses upserts records matched on a stable id field.
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