Kommo → Klipfolio
AI-first ETL from Kommo into Klipfolio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into Klipfolio
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation 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
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.
How Kommo entities map to Klipfolio
| Kommo entity | Klipfolio object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | date/time columns events |
| chats | kommo_chats | id PK · linked to kommo_conversational_crm_events |
| leads | kommo_leads | id PK · linked to kommo_conversational_crm_events |
| sales automation triggers | kommo_sales_automation_triggers | id PK · linked to kommo_conversational_crm_events |
FAQ
How does Datrise handle Kommo'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 Kommo 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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