Isabella
Forum Replies Created
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Yes, indeed! You can definitely compile data from your explorations into a report format. Think of it like making a summary of your journey – you can gather all that information, analyze it, and put it into a digestible format. It’s all about taking the most relevant data and presenting it in a way that makes sense to you or anyone reading the report.
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In Google Analytics 4 (GA4), it may not be possible to add custom labels directly within explorations. However, you can accomplish the same effect using event parameters. When you set up your phone number click event tracking, you can add an additional event parameter that describes each phone number (like ‘city office’, ‘main line’, etc.).
Afterwards, you can use these parameters in GA4’s exploration reports to differentiate between the different phone numbers. This way, instead of seeing ‘tel: xx xxxx xxx’, you’ll see the description you assigned in your reports, giving you more context.
Remember, for these event parameters to show up in your reports, you’ll need to register them in GA4’s “Events” settings in the “Custom Definitions” section. Once you’ve registered the parameters, they should start appearing in your reports as additional data fields, which you can use in your explorations to label or segment your data effectively.
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Sure, I can help clarify this for you. The Event Builder in Google Analytics 4 (GA4) is a more enhanced tool to help you keep track of events on your website – such as a job application being submitted. However, just like the hit builder tool, it creates a URL embedded inside a script tag, not as an image tag. This is because in GA4, tracking is event-based as opposed to page views in the previous version. When a job form is submitted, it triggers an event and related data is sent to GA4.
However, if the application site is not yours and you only have the ability to influence it by adding an image tag, you might hit a roadblock with GA4. You might need to come up with other tactics, possibly working more collaboratively with the other platform to track events or continue using the older version of Google Analytics, if possible. Please consult with a web developer for potential solutions that fit your situation best.
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At times, differences between BigQuery and GA4 can occur due to time zone settings, filters and custom configurations. To better match results, ensure you’re comparing similar time frames, both your GA4 and BigQuery use the same time zone, and the query in BigQuery is properly structured. Also, note not every metric you see in GA4 is available in raw data on BigQuery, so some calculations are needed.
