AppsFlyer → Klipfolio
AI-first ETL from AppsFlyer into Klipfolio. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into Klipfolio
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints 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
AppsFlyer: Mobile attribution and marketing analytics platform.
Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.
How AppsFlyer entities map to Klipfolio
| AppsFlyer entity | Klipfolio object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → flattened columns for Klips |
| in-app events | appsflyer_in_app_events | date/time columns events |
| campaigns | appsflyer_campaigns | id PK · linked to appsflyer_installs |
| attribution touchpoints | appsflyer_attribution_touchpoints | id PK · linked to appsflyer_installs |
FAQ
How does Datrise handle AppsFlyer'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 AppsFlyer 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 AppsFlyer
Early access
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