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Data warehouse integrations are available as a premium add-on for the Web Experimentation and Feature Experimentation module. For more information, contact your Customer Success Manager.
With the BigQuery integration, you can simplify data retrieval for targeted campaigns and personalized user experiences. Key benefits:
  • Allows precise data collection, enhancing audience targeting for personalized campaigns tailored to specific audience needs and preferences.
  • Set up Data Ingestion Tasks and extract data from BigQuery.

Activate BigQuery as a destination

Once you have enabled the BigQuery integration for your project, you can activate Use BigQuery as a destination to send the results of your Kameleoon campaigns to BigQuery.
To do this, follow these steps:
  1. Within the selected project’s configuration, you’ll find a checkbox labeled Use BigQuery as a destination. Check this checkbox to enable the feature.
  1. You’ll need to provide the BigQuery project ID associated with your Google BigQuery project. Enter the project ID in the BigQuery project ID.
  1. Click Validate to save your changes.

What “Use BigQuery as a destination” does

Enabling Use BigQuery as a destination sends all Kameleoon experiment exposure events into Google BigQuery. Kameleoon saves the events in the “kameleoon” dataset you previously created, with write access for the Kameleoon service account, in a table called kameleoon_experiment_event. The SQL schema of this table is the following:
Kameleoon reads the custom_visitor_id from the Cross Device Reconciliation custom data, if you set it.