Amelia
Forum Replies Created
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Your SQL query has an issue with referencing nested and possibly repetitive fields in a SAFE_OFFSET function when the type condition is met. Since the v2ProductName field is only non-repetitive in ‘EVENT’ instances, it is plausible the function might return null, non-existent, or throw an error for other event types.
One option could be to flatten or UNNEST the ‘product’ field to a selectable structure before this case statement. This way, you can select the v2ProductName or its conditionally offset variant in all circumstances.
Regarding the nature of your desired output, you’d presumably want to encapsulate the logic in an encapsulating select statement or the FROM clause that filters only non-purchasing visitors. You could ensure this by using an outer join or where-not-exists clause for users with corresponding purchase records.
Also, understand that SQL is set-based logic and does not work well with ‘lists,’ per se. The whole concept of OFFSET means nothing in strict relational database design, and therefore, using functions like SAFE_OFFSET might lead to unpredictable behavior that does not adhere well with the raw logic of SQL. Consequently, having repetitive fields and the requirement to select a specific instance within these is generally a symptom of non-optimal table structure for a relational database context.
In conclusion: restructure your data so that it is “clean” in a SQL context. Preferably each entity and attribute should exist only once, and foreign keys should be used to deal with one-to-many or many-to-many relationships.
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For Google Analytics 4, there isn’t a specific hit limit per month like GA3, however, free GA4 users have a limit of 2 million hits per user per month which resets every month. Cross this limit and Google may stop collecting data until the end of the month. Yet, this limit can be increased if you are using Google Analytics 360.
Regarding ‘Explore sampling limits’, it’s related to how data is pulled for report analysis in GA4. A single Explore report can analyze up to 10 million events per query. It doesn’t limit the number of rows in a report, but it restricts the number of single actions/events, like page views, that are analyzed in one specific data operation. It helps maintain a faster, more efficient data analysis and reporting process. Keep in mind that larger sets of data might require Google to apply sampling to keep the reports manageable.
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The error you’re encountering while trying to add a custom definition in your GA4 property could be due to several reasons.
One could be an interruption in the connection during the process, so ensure your internet access is stable. Also, try clearing your browser’s cache and cookies, or try using another browser or incognito mode to rule out any browser-based issues.
It’s important to note that you should have edit permissions to the GA4 property where you want to apply this custom definition. Also ensure that the custom definition you’re trying to add doesn’t exceed the GA4’s limit, which is 50. If you’ve reached the limit, you’d need to delete some custom definitions before you’re able to add new ones.
Should the error persist, it might be due to changes in the GA4 API or temporary issues with Google’s servers. If that’s the case, one straightforward approach involves reaching out to Google’s support team for direct assistance.
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Yes, it’s possible! In Google Data Studio, you can absolutely create custom reports to break down your data by specific conversions or events. Actually, this flexibility is one of the benefits of Data Studio. So, don’t worry—while GA4 has some changes from the older versions, you can still dig deep and get the detailed info you need.
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Based on your situation, it seems like you need to set up custom dimensions in Google Analytics 4 (GA4) for the different types of memberships you offer. Instead of lumping all memberships into one group, custom dimensions will allow you to categorize and separate the data for the main membership and the additional membership.
To set this up, you should navigate to your GA4 property and go to ‘Configure > Custom Definitions > Create Custom Dimensions’. From there, you should name the dimension appropriately (for example, ‘Membership Type’) and provide a description. Once you’ve created the dimension, the real task begins: mapping this dimension to a parameter in your data. You’d need to ensure that each membership type sends the appropriate data parameter upon purchase (or other engagement) that corresponds to the custom dimension you’ve created. This might involve working with your developers if this requires changes in how data is sent to GA4.
In the end, this adjustment would allow each membership type to be tracked separately, giving you a clearer picture of user behaviors across different membership options. By separating your data in this way, you’ll be able to run more accurate analyses and make more informed decisions.
