Kommo → Looker Studio
AI-first ETL from Kommo into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into Looker Studio
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Kommo entities map to Looker Studio
| Kommo entity | Looker Studio object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | date dimension 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 Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Kommo to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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