Salesloft → Looker Studio
AI-first ETL from Salesloft into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesloft into Looker Studio
Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution 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
Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Salesloft entities map to Looker Studio
| Salesloft entity | Looker Studio object | Notes |
|---|---|---|
| cadence activity | salesloft_cadence_activity | date dimension columns events |
| conversation signals | salesloft_conversation_signals | id PK · linked to salesloft_cadence_activity |
| revenue workflow execution | salesloft_revenue_workflow_execution | id PK · linked to salesloft_cadence_activity |
FAQ
How does Datrise handle Salesloft'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 Salesloft to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Salesloft
More sources for Looker Studio
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