1.Catch new identified visitor
Integrate Leadinfo and event payload tools to catch visitor identifiers and source payloads to collect visitor rows.
Create visitor records in your analytics data warehouse
Automatically monitor new identified visitor events across Leadinfo and your analytics warehouse. Create and update visitor rows when new visitor identified, visitor source payloads arrive, or visitor timestamps change—so you can normalize metrics, load structured records, and keep attribution accurate without manual data entry.
How this automation preserves attribution-ready visitor history
When new identified visitor events arrive, reporting breaks if data stays unstructured or delayed. This automation catches visitor payloads, normalizes fields, and creates BigQuery rows—so your team can analyze attribution-ready visits in one place.
Leadinfoor swap with your favorite app
2.Normalize fields and metrics
Integrate Formatter by Zapier and data transformation tools to format timestamps and normalize visit metrics to standardize visitor data.
Formatter by Zapieror swap with your favorite app
3.Create rows in BigQuery
Integrate Google BigQuery and analytics warehouse tooling to create dataset rows from visitor details to load structured visit history.
Google BigQueryor swap with your favorite app
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