James
Forum Replies Created
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Troubleshooting your issue with the ‘googleAnalyticsR’ package can involve multiple steps. Firstly, it’s important to note that a 500 error usually suggests a server-side problem. This could be an issue with Google’s servers but it’s also possible that there’s an issue with your request. If your code works with other queries, it may suggest that the data you’re trying to retrieve for last week’s sold product is causing the problem.
As you’ve confirmed that your dates (‘last_monday’ and ‘last_sunday’) are correct, the issue could be related to the specific metrics or dimensions you’re trying to access for this query. Ensure that these are valid and available for the GA4 property you are querying. Note, not all metrics and dimensions that were available in Universal Analytics are available in GA4.
If everything seems correct, it could be worthwhile trying your request at a different time, as occasional server-side issues can be temporary. If the issue persists, consider reaching out to the package’s developer or community for help. Provide them with your error logs so they have more information to assist you with.
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It sounds like the “payment_info” event might not be firing correctly, causing the data to vanish. You can use a Google Chrome extension called “Google Analytics Debugger” to check this. You’ll see your data in real time in the JavaScript console, not in GA4 unlike previous versions of Google Analytics. This should help you identify if there’s any issue with the “payment_info” event.
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It seems you’re experiencing difficulties with cross-domain tracking from your Squarespace site to Booqable via Google Analytics 4. The issue of the _gl or _ga values not showing up when navigating from Squarespace to Booqable but appearing when reversing the journey suggests the tracking setup might not have been effectively configured on the Squarespace site.
The manual setup you tried per Google’s guide is a great move. If it’s not working as expected, you might need to recheck each step to ensure nothing was missed or wrongly implemented. Take care to check the implementation of the code in your Squarespace website. The Google Analytics code should be added to every webpage you want to track.
You mentioned having added a button on the Squarespace website–although it produced the _gl value, this may not be the efficient solution since it could miss all other elements that may lead a user to Booqable website.
Cross-domain measurement requires in-depth understanding and fine-tuning, plus some trial and error. Both domains need to be correctly configured in Google Analytics and the right code installed on the website. If followed correctly, this should enable Google Analytics to track user cookies from Squarespace to Booqable and vice versa.
A good idea might be to reach out to a developer or a Google Certified Partner who can help with the setup of cross-domain tracking. They would have the expertise to help resolve any tracking issues you are facing. Until then, keep going and keep experimenting, it can take some time to perfect.
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Sure! The difference you’re seeing is because GA4 and UA track data differently. UA tracks sessions, while GA4 focuses on events. The reason the numbers may not match up is because an event isn’t equivalent to a session. So for example, if a user visits your website and performs multiple actions, UA could count that as one session, but GA4 might count it as multiple events. Hence, giving you a lower users count in GA4.
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Based on the details you’ve given, one possibility could be due to the nature of your events. The “login” event (where your “customer_type = Webonly” comes from) and the “purchase” event are two separate instances. When you try to apply these filters together, it might be looking for a scenario where both parameters are occurring at the exact same event, which in this case is not possible. Therefore, it returns with “no data”. You can use these filters individually because they’re able to find corresponding events separately. However, when used together, they can’t find any combined events matching both conditions. You may need to adjust your tracking setup or analytic queries to get the desired result.
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In Google Analytics 4 (GA4), the implementation of custom dimensions and parameters is different from the previous versions. When you define new parameters in the GA4 interface, these parameters start to work from that moment onwards. They won’t retroactively apply to events that happened prior to their creation. This could be why you aren’t seeing these custom dimensions in your reports.
In addition, to successfully track and report custom parameters, they must not only be sent in your GA4 event tags, but also registered in the GA4 interface. From your code, it seems you are correctly sending the parameters (event_category and event_label) via your gtag() call, and I assume you have also set them up in the GA4 interface.
The delay you’re experiencing between triggering events on your website and those events appearing in GA4 is normal. Real-time reporting in GA4 is not immediate unlike Universal Analytics, and it can take between 24-48 hours for standard events and custom dimensions to appear in most reports.
Ensure you’ve correctly defined your new dimensions: they should be set up as “event scoped”, and their names should be exactly as they appear in your code. Also consider waiting for at least 48 hours to see if the new parameters start to appear in your reports. You may want to reach out to a Google Analytics expert or Google’s support for an in-depth look into your specific situation.
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Unfortunately, Google Analytics 4 (GA4) only exports data to BigQuery from the day that you link them together and going forward. This means it’s not possible to retroactively import old data from GA4 to BigQuery that was collected prior to the linking of these two platforms. Despite this, you can still access and analyze the old data directly in GA4. It’s not the ideal situation I know, but it stands true as of Google’s current policy.
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After the update, you can’t directly pair “itemViewEvents” and “itemName” anymore because they fall into different scopes. However, you can definitely create a custom metric or dimension that wraps around these two so you can still analyze how many views a particular product got. It’s a bit complex, but definitely doable!
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Sure thing! In GA4, you can recreate this with a fun combo of parameters and events – it doesn’t come with the same ready-made setup as UA. You’ll need to create a new event that triggers after a user hangs around a page for 180 seconds, then track that event. It’s a bit more DIY, but totally doable!
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Sure, you can still do it! The actual tracking isn’t tied to GA UA/GA4, but is usually handled separately through GTM. Whether it’s a UA or GA4 event doesn’t really affect the tracking itself. That same principle applies to Google Ads conversions too. So, nothing to worry about, you can still track those mailto clicks as conversions like you used to do.
