Data exports overview

Data exports push your raw Spectry data to an external destination on a schedule (or on demand), so you can join it with other data in your own warehouse or storage. Create one from Data exports → Create export.

Set it up

1. Name the export.
2. Choose a destination and fill in its connection details.
3. Select one or more data sources to include:
   • Analytics events
   • Sessions
   • Web vitals
   • Heatmap interactions
   • Error logs
4. Pick a schedule: daily, weekly, or manual (run on demand).
5. Enable it and save.

Managing exports

The list shows Export Name, Data Sources, Destination, Schedule, Last Run and Status. Use Run now to trigger a manual export, edit the configuration, or delete it. If a run fails, the last error is shown so you can fix the connection and retry.

Exported data leaves Spectry's controls

Everything Spectry enforces on your behalf — consent gating, retention limits, GDPR erasure — applies to data inside Spectry. Once a row lands in your bucket or warehouse, honouring a later deletion request there is your responsibility. Two practical habits:

• Export only the sources you actually query. Heatmap interactions are by far the largest table and rarely the one people join against.
• Keep the destination in a system where you can find and delete a person's rows on request.