DatriseAI-first ETL

Google Analytics Spreadsheets

AI-first ETL from Google Analytics into Spreadsheets. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics into Spreadsheets

Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Google Analytics: Web and product analytics for behavior and traffic insights.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Google Analytics entities map to Spreadsheets

Google Analytics entitySpreadsheets objectNotes
sessionsgoogle_analytics_sessionsid PK · custom fields → JSON-stringified cells for nested fields
eventsgoogle_analytics_eventsISO-8601 text or serial date cells events
channelsgoogle_analytics_channelsid PK · linked to google_analytics_sessions
conversionsgoogle_analytics_conversionsid PK · linked to google_analytics_sessions

FAQ

How does Datrise handle Google Analytics's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the Google Analytics to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

Connect Google Analytics to Spreadsheets the easy way

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