Emma
Forum Replies Created
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From the information you’ve provided, the transaction data mismatch could be due to a number of reasons. First, check if all Google Analytics tracking codes on your website are functioning correctly. Next, verify that you’re comparing the same date ranges in your custom table and Google Analytics. Also, confirm that your ‘dimensions’ and ‘metrics’ are set properly. ‘Dimensions’ describe characteristics of your users, their sessions and actions, while ‘metrics’ are the quantitative measurements. Ensure that these correspond to the data you want to retrieve. Finally, check if any filters applied are causing data discrepancies. Remember, in Google Analytics, data sampling may occur in your reports depending on your date range and segmentation, which could potentially cause discrepancies. Consider using the Google Analytics API for large data sets to reduce sampling.
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Yes, it would be beneficial for your case to create two separate data streams in Google Analytics 4 (GA4) for your landing page and web app, despite them living on the same domain. This is because these two entities serve different purposes and likely have different user flows and engagement metrics. Breaking them out into separate streams would allow for more accurate data analysis and understanding of how users interact with each component. With this setup, you can monitor and optimize each part for better performance effectively.
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I see what’s going on here. The subquery is causing an issue because it’s possible that unnesting the array ‘items’ might get more than one item and trying to transform these into a scalar (a single value) is causing the issue. You’re asking it to get an ‘item_brand’ but it gets multiple possible hits for it which confuses it.
By inserting
LIMIT 1, you’re essentially telling your query to just pick one brand out of possibly multiple ones it finds, thereby avoiding the ‘more than one element’ problem.So your edited query tells BigQuery to “get the event_date, event_name, and one (any) brand for each cart added event”. This should work for you, as it limits the item_brand output to only one per event. Hope this helps!
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It seems like there might be an issue with the Google Analytics 4 itself or how your website is triggering the events. Despite your thorough troubleshooting steps, the problem persists which suggests the issue lies beyond the basic setup or common problems. It seems like this issue occurs over time with older events duplicating more.
Given your detailed work so far, at this point, I’d recommend reaching out to Google Support for help. They have the tools to look deeper into your account and see what might be causing such an unusual issue. It may be a known bug or something specific to your setup that isn’t immediately obvious. Additionally, ensure you’re using the latest versions of Google Analytics and Google Tag Manager, and your website doesn’t have any conflicting scripts running.
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It sounds like you’re trying to add a new user to your Google Analytics administration system directly from Google Sheets – which is a pretty creative solution! However, you’re getting a specific error message, “Error 400”. This error is generally associated with a “bad request,” meaning that your request to the server (in your case, to add a new user) cannot be understood or processed.
The message’s additional information, “The value for the ‘direct_roles’ field was empty, but must be provided,” gives some idea of where things might be going wrong. This suggests that when you’re trying to add a new user, you need to assign them a “direct role” – this is presumably some kind of user designation in your system, and it cannot be left blank.
Taking a look at your request, the “directRoles” value is being assigned from your Google Sheet. This error message might imply there’s a problem with that value. Maybe the relevant cell in your Google Sheet is empty, or perhaps there’s some kind of formatting issue that’s preventing the value from being read correctly. You might need to double-check your Google Sheet and make sure the “directRoles” values are presented correctly and consistently.
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Sure, in more conversational terms, Google Analytics 4 (GA4) doesn’t provide an official software development kit (SDK) for integration into a Windows Presentation Foundation (WPF) app. But, don’t worry, it’s still possible to integrate it.
Google provides something called “measurement protocol for GA4”. Essentially, it’s a set of instructions on how to send data to Google Analytics. This is done through HTTP POST requests to a specific URL (www.google-analytics.com).
An HTTP Post request in this context looks like this:
`csharp
POST /mp/collect HTTP/1.1
HOST: http://www.google-analytics.com
Content-Type: application/json`
This<payload_data>is where you’ll put the data you want to track.For complete details, the [measurement protocol guide](https://developers.google.com/analytics/devguides/collection/protocol/ga4) on Google developers site is a great resource.
Unfortunately, for now, that’s the closest thing available to an official SDK for incorporating GA4 into a WPF app. So it might be a challenge if you’re not familiar with it.
It’s also worth noting that some developers have been creating their own versions of an SDK for this purpose, but are still waiting for Google to complete the protocol.
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This isn’t necessarily a glitch, but more of an understanding of how GA4 processes data. When you add extra ‘dimensions’ to your query, GA4 shows totals by each unique combination of dimension values. That means when you request multiple dimensions, the ‘totalUsers’ is split across those dimensions and might appear doubled or more. This is because a user can fall into multiple categories defined by your dimensions. If you want a simple sum of ‘totalUsers’, you should request this metric with fewer dimensions.
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Your mismatch could potentially be due to Google Analytics 4 (GA4) data thresholds. Reports that include demographic data can sometimes withhold rows if the total number of users isn’t high enough. This is particularly true when the report’s identity relies on device ID.
