Bella
Forum Replies Created
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The “request invalid” error could be due to a variety of reasons. Without looking at the actual code and only the gem you’re using, it’s hard to tell exactly. However, here are a few possibilities:
1) There might be an issue with how you’re setting up the authorization. Make sure you’re following Google’s guidelines for authorization when setting up your request.
2) Check your custom user fields and custom events. There could be an error in how you’ve set them up or in the data they’re outputting, which then could be causing the entire request to fail.
3) You might be using a deprecated or incorrect endpoint in your API request. Check the the Google Analytics Data API documentation to ensure you’re making requests to the correct endpoint.
4) When you’re creating your job to fetch data, be sure you’re handling exceptions and errors correctly, this way if something goes wrong with the request, your entire job doesn’t fail. Also make sure the job isn’t causing the request to time out.
Finally, I would recommend reaching out to the community of developers who use this gem. They might be able to provide more specific insights. If the ‘google-apis-analyticsdata_v1beta’ gem’s documentation isn’t helping, there’s a chance that someone else already has stumbled upon the same issue.
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There could be several possible reasons why you’re seeing fewer page views in GA4 compared to Universal Analytics (UA). One possibility could be due to the different ways GA4 and UA track the pages of your website. While UA tracks every single page on your site, GA4 is more event-driven and might not automatically track certain pages. As a result, you might get a discrepancy in the page view data between the two. Additionally, if your GA4 setup is still new, it might not have received enough data yet to match the UA’s page views reports.
The use of adblockers or privacy extensions by your users could also cause such discrepancies. These tools often block tracking scripts but don’t treat all analytics software and versions the same and may consequently block one but not the other. Therefore, it’s also worth noting that the visitors’ behavior in terms of allowing or blocking cookies may play a role.
Lastly, make sure your GA4 configuration is properly set for accurate data collection. Incorrect setup like errors in tags implementation, event configurations, and others might also be a cause for these discrepancies.
In summary, discrepancies between GA4 and UA pageview data could be due to a number of reasons including differences in tracking methodology, data blocking by users, or even implementation errors. Investigating these areas might help you uncover why you’re seeing fewer matches with GA4.
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Absolutely, there are a few approaches you could take to rectify this issue. One way is to ensure proper tagging of your campaigns. For the Google Display campaigns, use the Google Ads auto tagging. This will ensure data from Google Ads is correctly recognized and segregated in your GA4 reports. On the other hand, for non-Google campaigns (the ones you termed as ‘Manual’), ensure to use UTM parameters correctly – primarily utm_source, utm_medium and utm_campaign. Primarily, utm_source will help distinguish the platform or source. If you are stringent with these tagging practices, it will greatly benefit segmentation of Google and Non-Google data.
Another approach you might consider is creating custom channel grouping in your GA4 property. You can define a new channel by combining source, medium or campaign name. Here, you can create a group for Google Display and separate others. Make sure to regularly audit and update this as per data trends for best results. I believe these steps can help you correct the mislabeling and bring clarity to your Google and Non-Google data.
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As of now, the Google Tag Manager API does not support creating GA4 tags and triggers. However, you can use the Google Analytics Admin API to automate the creation of GA4 configuration. Please remember that this involves some coding skill.
