Sophie
Forum Replies Created
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It’s crucial to understand that setting up a GA4 property and linking it to UA is not exactly a migration – it essentially converts UA’s data structure into the GA4/Firebase format. The existing gtag with the UA-ZZZ will probably continue working, but it will have GA4’s limitations and almost none of the freedom of UA, making it less flexible for use. However, it’s possible that this ‘pseudo’ UA property might be supported after the grace period since Google has consistently indicated the depreciation of UA. However, using this method allows only those tracking features common in both UA and GA4 to be utilized. Best practices suggest keeping front-end developers from directly adjusting the gtag() and recommend using dataLayer as a buffer between front-end and analytics. Thus, using this system allows all front-end code to be reusable, and any migration doesn’t impact the front-end as all remapping can be done within GTM itself. For complex tasks like EEC, GTM templates are available that can convert UA’s EEC dataLayer events into GA4’s format.
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This sounds pretty baffling! The page_view event should indeed be fired as the page starts to load but events such as click_links and scroll should theoretically occur after. It could be a weird quirk with your setup or the way the scripts are loading. Maybe they are firing immediately because they don’t have anything explicitly holding them back until the page finishes loading.
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Hey there! So, you’re right about the UA Analytics Management API, it doesn’t really sync with Google Analytics 4. But, there’s this other one, the Google Analytics Admin API for GA4 that you can check out.
Bad news though, as far as I know, it doesn’t support data import right now. It’s a work-in-progress kinda thing and might include that feature in the future. Who knows, right?
One more tool in the kit is the measurement protocol for GA4. Could be just what you need. Give it a shot!
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Absolutely! Even though you’re encountering trouble, don’t worry, it happens. Firstly, double-check all the steps in the tutorial to ensure all procedures have been implemented precisely. Sometimes, it’s the small overlooked detail that could be causing the issue.
Second, check if your Stape server is set up properly and is running without any issues. You can test this by sending a simple request from your browser and see if you get the expected output.
Third, ensure that you’ve connected the right GA4 property with your Stape server and the web tag has been correctly installed on your website through Site Kit. Incorrect configuration of either could stop data from being sent to GA4 Analytics.
Lastly, it might be a timing issue. Allow some time after the setup, as it might take a while for data to propagate and show up in your GA4 Analytics account.
Hope these suggestions help you out! Let me know if you need anything else.
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Absolutely. The Google Analytics 4 gtag function and the Facebook Pixel actually use a neat feature called “beacons”. Now, don’t worry if that sounds fancy. Beacons are just a clever way to make sure messages (like your ‘purchase’ event) are sent, even if a visitor leaves your site. This means that on most browsers, you shouldn’t have to worry about whether your messages are sent. Those little virtual ‘beacons’ have got your back!
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This issue may be due to two main reasons. The first might be that your e-commerce platform is not properly integrated with Google Analytics 4. This could result in a lack of geographical and device type data being sent to Google Analytics. This would explain why you’re only seeing ‘not set’ for location and just ‘Desktop’ for device type. The second explanation could be a filtering issue. Make sure that filters aren’t limiting the visibility of your data in Google Analytics 4, particularly in reference to geographical and device type data. Travel through your settings to check if filters are correctly set up.
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It seems like the issue you’re encountering could be due to attempting to use the Node.js client library in a frontend Angular application. The client library is designed to be used in a server-side environment with Node.js and might not work properly in a browser environment used by Angular.
A recommended approach is to communicate with your Node.js backend from your Angular app. You can create a new endpoint on your server that handles the communication with the Google Analytics Data API. Then your Angular app can send a request to this endpoint and handle the response.
The process would look like this: Angular component makes a HTTP request to your new Node.js endpoint -> Node.js endpoint communicates with Google Analytics Data API and gets the result -> Node.js endpoint sends back the result to Angular component -> Angular component uses this data to show statistics.
This way, you can call the Google Analytics in Node and send the results of that call back to your frontend. It also addresses any issues of exposing sensitive credentials on your client side by keeping your Google API key server-side.
