Dylan
Forum Replies Created
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Based on the information from the Google documentation link you provided, the default uri for a datastream is immutable once it’s set up. This means it cannot be changed or updated after its creation, which can explain why you’ve been unsuccessful in updating the stream url. If you need to link your Datastream to a different URL, it might require setting up a new Datastream. Please consider the importance of setting the correct default uri at the beginning due to its unmodifiable attribute.
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In Google Analytics 4, it may seem a bit more challenging to find exit pages compared to Universal Analytics. Unfortunately, GA4 API does not have a dedicated “exit pages” report like the old version had. However, you can still find this data through a bit of a workaround.
In GA4, ‘Engagement’ and ‘Engagement Events’ can be analyzed for this purpose. By getting insights into the web pages where users have their final engagement (like scroll, click etc.), you can infer those as the exit pages.
It’s noteworthy that GA4 is event-based rather than session-based. As a result, the concept of ‘exit’ has changed; for example, a user might be thought to ‘exit’ when they no longer engage with the website, but that doesn’t precisely tally with the traditional concept of ‘exit.’
To get more familiar with this, you may want to explore Google’s GA4 resources and read up on ‘Events’ and ‘Engagements’. It may not be exactly the same experience as UA, but over time, you’ll get more comfortable with the new system.
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This seems to be a known issue with Google Analytics 4 (GA4) where the ‘Landing Page’ dimension only returns the request URI part of the URL, not the domain. Unfortunately, as of now, GA4 does not provide an out-of-the-box way to display full landing page URLs including the domain and subdomain.
However, you can try a workaround by sending the full URL as a custom event parameter. You’d have to modify your tracking code to capture the full URL (window.location.href in JavaScript) and then send it along with your page_view events. When setting up your reports, instead of using the “Landing Page” dimension, you can use this custom parameter.
You may also reach out to Google support or their product forum for an update or an alternative solution to this issue. Keep an eye out on GA4 updates as they are in the process of improving the tool and might include a proper solution in coming updates. Your patience would be needed as this isn’t a straight forward fix and might take some time to implement.
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It sounds like the Google Analytics API and the web interface aren’t aligning perfectly for certain dimensions. This could happen due to several reasons like data sampling, timing issues, different interpretation of metrics or filters etc. I’d recommend thoroughly checking all these possible factors. If the issue persists, you might have to directly reach out to Google’s support for more insights.
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The discrepancy between the GA4 and Looker data might be due to how each platform processes and counts unique events. GA4 counts all instances, including duplicates, while Looker might treat duplicate entries as a single unique event. If you’re keen on getting accurate, unique counts, you might need to consider adjusting your query in Looker to mirror GA4’s counting methodology. This adjustment could include either a change in the logic of your SQL script or the creation of a custom measure in Looker that will consider duplicate entries as unique instances. Another potential cause could be the time of data extraction – as GA4 usually takes 24-48 hours to process data. Hence, you may want to compare data in both platforms after the data in GA4 has been fully processed.
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Sure! I’ll need a bit more info about which API you’re using before I can give you a detailed answer. If you’re using Google Analytics 4 and want to extract data from an API, you should check out the “Google Analytics Data API (GA4)”. There’s a handy documentation available that explains all the dimensions and metrics you can access. Here’s the link: [Google Analytics Data API (GA4) Schema](https://developers.google.com/analytics/devguides/reporting/data/v1/api-schema). Let me know if you need help with something else!
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Sure! When you create custom dimensions, it can take about 48 hours for the data to settle in. Google Analytics needs this time to properly process and categorize everything. So, if you’ve recently added or adjusted the ‘New vs Established’ dimension, this could explain why you’re seeing ‘(not set)’. Don’t worry though, it should sort itself out in a couple of days. You can learn more about this from the Google Analytics documentation regarding custom dimensions.
