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Forum Replies Created
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You seem to be facing differences in data between the Google Analytics Data API and the Web UI. This discrepancy could be due to a few reasons, one of them being Google’s data sampling which can apply when querying data through the API. When you switched to the GA Reporting API, you encountered issues because it requires a View ID and you’re using GA4, which only supports Property ID. Also, using a third-party tool like Looker did not seem to resolve the mismatch. It’s important to understand that fetching real-time data through the API could have certain limitations and may not always perfectly align with the Web UI data. You might want to consider seeking direct advice from Google’s support or possibly re-checking the exact metrics and dimensions you are querying in the API. This could ensure that the queried data matches as closely as possible with your Web UI.
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Sure, in simpler terms, currently there’s no direct way to send Search Console data to BigQuery via GA4. The data in GA4 is very specific and doesn’t hold any Search Console data. So, you’d need to handle them separately, exporting from both places and then meshing that data together with your own reports or queries.
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Sounds like you’ve got a glitch in your Google Analytics. Could be a temporary issue on their end. Try clearing your cache, or check if there’s been a recent update in Analytics that could have affected your settings. If nothing works, you might need to reach out to their support team.
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This discrepancy could be due to the way GA4 interprets decimal numbers. Google Analytics 4 (GA4) interprets numbers as micros, so €1 is regarded as 1,000,000 micro units. This may be the source of the large numbers you’re witnessing. When you’re passing the price or the value into GA4, consider multiplying the number by 1,000,000, or representing your prices as integers in the smallest units of your currency (like cents or pennies), as GA4 expects this format.
Regarding the recorded revenue for each item showing as zero, the issue is likely due to a tracking setup error. GA doesn’t always mimic exactly what’s in the data layer – sometimes it fails to interpret the revenue data if it’s not formatted properly. Ensure that your ecommerce tracking code is correctly implemented and revenue data is passed as expected. You can also use GA’s built-in diagnostics and reports to help troubleshoot the issue. You might need some debug work on the site or contact the support team for a detailed investigation.
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The primary method to fetch data from Google Analytics and integrate it into your ReactJS app is via Google’s APIs like the Google Analytics Reporting API or the Google Analytics Real Time Reporting API. These APIs allow you to access a variety of dimensions and metrics. If you’ve tried using these APIs and you’re not getting the desired results, it’s possible you may need to refine your API requests or reconfigure your Google Analytics account. It’s also worth noting that these APIs have certain limitations and not all the data visible on Google Analytics’ web interface may be available via the APIs. As an alternative, you could use a package such as react-ga, which is a lightweight React component for integrating Google Analytics into your ReactJS app. However, even this package essentially relies on Google’s APIs to fetch data.
Therefore, while you can retrieve a wide variety of data using Google’s APIs, you may not be able to fetch all the data exactly as displayed on the Google Analytics website dashboard. Depending on what specific data you’re looking to fetch, you may need to combine data from different API requests, perform some additional data processing, or use additional tools or packages appropriate to your specific needs.
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Sure!
1. No need to provide links, your screenshot is just fine.
2. As for tracking click events on your 404 page, you can totally do that. Try including a Custom JavaScript variable in your click trigger, that examines the page’s 404 text. There’s no need to get complicated with classes or anything on your CTAs – that would be overdoing it.
3. I’d suggest tracking these types of navigations website wide, not just on your 404 page. Afterwards, you can sort out your data by page name or title in order to identify the 404 page clicks. It’s all about smart filtering, really!
