1.Monitor new recording events
Integrate Hotjar and analytics event capture to trigger logging for new session recordings.
Log session recordings as rows for fast analytics
Automatically capture new session recording events across Hotjar. Automatically normalize each recording into a row in Google BigQuery when recordings arrive—so you can query session details, analyze visited pages, and review durations without manual exporting.
How this automation speeds up session analytics rows
When new session recordings land, analysis gets delayed by manual cleanup and copying into a warehouse. This automation parses recording payloads, transforms timestamps and pages, and creates rows in BigQuery—so your team can query session-level data faster.
Hotjaror swap with your favorite app
2.Format event timestamp and duration
Integrate Formatter by Zapier and data transformation tools to format the event timestamp and round session duration.
Formatter by Zapieror swap with your favorite app
3.Parse pages into list and count
Integrate Code by Zapier and analytics parsing to build a compact pages list and derive pages count.
Code by Zapieror swap with your favorite app
4.Create analytics row in BigQuery
Integrate Google BigQuery and warehouse schemas to create a new row mapped to session analytic columns.
Google BigQueryor swap with your favorite app
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Step 1
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Step 2
Define the trigger
Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
Step 3
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Let your workflow handle follow-ups, updates, notifications, and reporting so your team can track progress and act faster.
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