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.

Export builder

Set it up

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

Data Exports

In this section.

Data exports overview

Export destinations

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