DatriseAI-first ETL

FullStory Spreadsheets

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

How Datrise loads FullStory into Spreadsheets

Datrise syncs FullStory's sessions, events, funnels, frustration signals, and user properties 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

FullStory: Digital experience analytics with session replay context.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How FullStory entities map to Spreadsheets

FullStory entitySpreadsheets objectNotes
sessionsfullstory_sessionsid PK · custom fields → JSON-stringified cells for nested fields
eventsfullstory_eventsISO-8601 text or serial date cells events
funnelsfullstory_funnelsid PK · linked to fullstory_sessions
frustration signalsfullstory_frustration_signalsid PK · linked to fullstory_sessions

FAQ

How does Datrise handle FullStory'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 FullStory 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

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