• Advanced setup options

    Table of contents

    In short

    In Advanced Setup, you can make additional (optional) settings for your tracking setup. The most important option here is the setting for the variant assignment for your experiments.

    User Group Identification - Variant assignment

    Specify whether the variant assignment of your test participants is repeated for each new session or whether it remains permanently, across sessions.

    • Local Storage (default): The group assignment is retained. Test participants keep their assigned group as long as the test is active - even if they visit the page again.
    • Group assignment is reassigned each time a new session is started. This happens, for example, when a visitor closes the tab or browser and returns later.

    Start Tracking on Activation Event

    Step-by-Step Tutorial
    Start Tracking on Activation Event

    Use this setting to specify whether experiment delivery and tracking should be separated from each other. By default, we recommend that they are separated so that the events can also be received more reliably by GA4. 

    • Activated (default setting): The Varify events are only sent when the Varify Activate Tracking Script is executed. This ensures that:

      • The Varify tracking events are only sent after the Google configuration tag has been loaded.

      • If GA4 is only loaded with user consent, the Varify events are automatically sent to GA4 with the user consent.

    • Deactivated: The events are immediately written to the data layer when the variant is played.

    Varify Activate Tracking Script

    				
    					<script>
        var active = true;
        window.varify.setTracking(active);
    </script>
    				
    			

    Data saving mode (beta)

    Without the data saving mode, the Varify event is triggered every time your experiment is played (if page and audience targeting return "true").

    If data saving mode is activated, the Varify event is only triggered once per visitor and session. This reduces the number of events and queries in your analytics tool and can save costs when using BigQuery, for example.

  • First steps