Oliver
Forum Replies Created
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In BigQuery, you can use functions like UNNEST to handle arrays of STRUCTs and extract their individual elements. However, if you’d prefer to convert the STRUCTs data into JSON format, BigQuery also allows this by using the TO_JSON_STRING function. Then, you can easily parse and analyze your data using BigQuery’s built-in JSON functions.
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It sounds like you have concerns about the continued functionality of your code which reads data from Universal Analytics (UA) and its compatibility with Google Analytics 4 (GA4) given technology updates and changes, particularly beyond July 2023. You’ve taken measures to connect your UA to GA4, which started retrieving metrics from April 2022, and question whether your current code will remain compatible with this connection. You’re also contemplating switching to another package – Google.Apis.AnalyticsReporting.v4, and whether you’ll be able to still use the View ID of your UA in this case.
Another notable concern you’ve raised pertains to a prototype you’ve created. This prototype depends on a View ID, but GA4 doesn’t provide a View ID. So you’ve used a View ID from your UA, which is connected to your GA4. It’s unclear to you whether this approach will still function by July 2023 or whether a switch to a different implementation would be more appropriate. To get the most accurate assistance and advice, it is highly recommended to provide the code and prospective prototype code in your inquiries.
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Sure, the ‘value’ variable in GA4 ecommerce is a measure of interaction with the item, it’s not the same as the price. It’s used in various events such as when an item is added or removed from a shopping cart, added to a wishlist or when the item is viewed. Importantly, it’s not just about the transaction value. The ‘value’ variable serves to quantify the user’s interest or intention towards the items. It helps in tracking and reporting on how users interact with the items on your website, which, in turn, can offer insights for your marketing strategies.
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Google Analytics 4 can sometimes be slow in showing data, due to internal processing it requires. But don’t worry, your information is still securely stored even if it’s not immediately visible. It might take up to 48 hours sometimes. If this delay is longer, it might be a technical issue, so you should reach out to Google’s technical support to help out.
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Yes, you should be seeing the events tracked by the Measurement Protocol API in BigQuery. It can sometimes take a while for the data to appear in BigQuery due to some processing delays. If you still don’t see the data after waiting, you may want to check the configuration of your API calls and make sure they’re set up correctly.
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Unfortunately, the ‘sessionControl’ function is not available in Google Analytics 4. In GA4, the session automatically times out after 30 minutes of no activity, or at midnight local time, and you cannot override or manipulate this. As for the ‘ga()’ command you tried, it belongs to the older Universal Analytics codebase and is not compatible with GA4. You might want to consider a workaround like changing some user-scoped custom dimension on each ‘special’ event. It would start a new user, and as a result, a new session in GA4. However, keep in mind that this workaround might have other implications on your data and should be tested carefully.
