Selligent to Klipfolio Integration
AI-first ETL from Selligent into Klipfolio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Selligent into Klipfolio
Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.
Ideal for real-time KPI dashboards and wallboards.
Endpoints
Selligent: Enterprise cross-channel campaigns with real-time triggers.
Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.
How Selligent entities map to Klipfolio
| Selligent entity | Klipfolio object | Notes |
|---|---|---|
| contacts | selligent_contacts | id PK · custom fields → flattened columns for Klips |
| journeys | selligent_journeys | id PK · linked to selligent_contacts |
| campaigns | selligent_campaigns | id PK · linked to selligent_contacts |
| message events | selligent_message_events | date/time columns events |
FAQ
How does Datrise handle Selligent's custom fields in Klipfolio?
Flexible values are stored as flattened columns for Klips, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Klipfolio types.
How does the Selligent to Klipfolio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.
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