Amplitude → Klipfolio
AI-first ETL from Amplitude into Klipfolio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Klipfolio
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves 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
Amplitude: Product analytics source for events, funnels, and cohorts.
Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.
How Amplitude entities map to Klipfolio
| Amplitude entity | Klipfolio object | Notes |
|---|---|---|
| product events | amplitude_product_events | date/time columns events |
| user properties | amplitude_user_properties | id PK · linked to amplitude_product_events |
| funnels | amplitude_funnels | id PK · linked to amplitude_product_events |
| cohorts | amplitude_cohorts | id PK · linked to amplitude_product_events |
FAQ
How does Datrise handle Amplitude'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 Amplitude to Klipfolio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.
Related pipelines
More destinations for Amplitude
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