Salesflare → Looker Studio
AI-first ETL from Salesflare into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Looker Studio
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines 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
Salesflare: B2B CRM focused on automation and relationship timeline data.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Salesflare entities map to Looker Studio
| Salesflare entity | Looker Studio object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → flattened columns for chart fields |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | date dimension columns events |
FAQ
How does Datrise handle Salesflare'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 Salesflare to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Salesflare
More sources for Looker Studio
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