CSV export

Exporting analytics

From any flow's Analytics tab, click Export CSV to download the raw event data for that flow.

The export includes all events within the selected date range.

CSV format

Each row is one analytics event. The exported columns are:

| Column | Description | | ------------- | ----------------------------------------------------- | | event_id | Unique identifier for the event | | flow_id | ID of the flow | | flow_name | Display name of the flow at time of event | | event_type | view, complete, dismiss, or skip | | step_index | For skip events: which step was skipped (0-indexed) | | user_hash | One-way hash of the user ID | | session_id | Groups events within a single session | | occurred_at | ISO 8601 timestamp (UTC) | | url | Page URL where the event occurred | | referrer | Referring URL |

Privacy note

The user_hash is a deterministic HMAC-SHA256 hash of the raw user ID, keyed to your organization. It is not reversible — you cannot recover the original user ID from it. However, because the hash is deterministic, you can re-identify events that belong to the same user by hashing your user ID using the same algorithm.

To correlate export data with your own user database, contact support for the hash key (available on Scale plan).

Using the export

Common analyses you can run in a spreadsheet:

Completion funnel per step (tours):

• Filter by event_type = view or complete per step_index
• Calculate step-to-step conversion rates

Unique users per event type:

• Count distinct user_hash values per event_type

Cohort analysis:

• Join on user_hash + occurred_at to see which signup cohorts complete onboarding

Session replay correlation:

• Match session_id and url against your session replay tool to watch recordings for users who dropped off at a specific step

Data retention and export windows

You can export data up to the retention limit for your plan:

| Plan | Max export window | | ----- | ----------------- | | Free | 30 days | | Grow | 6 months | | Scale | 12 months |

If you need to retain data beyond these limits, set up a regular export schedule and store the CSVs in your own data warehouse.