[Ava]

For tracking separate actions like purchases and donations, it’s essential to add clear distinctions between the two. If you use the same purchase event for both, it may confuse your data analysis and reports. Your approach of using a specific donate event with parameters such as currency and value attached is a good move.

However, to solve the issue of revenue or value metrics not appearing in GA4, you need to use the specific parameters that Google Analytics 4 recognizes for these values. Usually, that is items (which is an array of item objects – each object can have item_id, item_name, quantity, etc.) and value. So, when sending a donation, send value as a metric but, remember that GA4 considers value as a custom parameter and it will not show up in your reports until you register it in the ‘custom definitions’ section of your GA4 property.

So, while you can technically use the purchase event for both, it is recommended to use a custom donate event to maintain clear data distinctions. Remember to register all custom parameters and you should see the data showing up in your GA4 reports.

[Ava]

The error message you received, “The value for the ‘direct_roles’ field was empty, but must be provided” suggests that the ‘direct_roles’ field in your request does not have a value when you are trying to add a new user. The ‘direct_roles’ field is expected to contain the roles that you want to assign to the user you’re adding.

Considering the request body you’re using, it seems like you’re reading the roles from ‘entity[6]’ which appears to be an array. You need to ensure that ‘entity[6]’ contains the role or roles you want to assign to the user. It could be that ‘entity[6]’ is empty or undefined when you’re building your request, hence resulting in the error.

In short, you need to make sure you’re providing valid roles in ‘entity[6]’ when building the request. You could add some checks or validations in your code to make sure ‘entity[6]’ is not empty or undefined before building the request, and that should resolve the 400 error.

[Ava]

The inclusion of both client_id and user_id in Google’s GA4 events might seem like an overlap, however, they serve different purposes. The client_id is used by Google Analytics to identify a unique browser or device, which is important for maintaining accuracy in session tracking. The user_id instead represents the unique ID of a user as recognized on your system, useful for identifying interactions of a specific user across multiple devices or sessions. Including a fake or random client_id could potentially interfere with this tracking and lead to inaccurate data, I wouldn’t recommend it. While the Google Analytics Help Center might not have specific resources on this, understanding how these IDs are used in tracking can help clarify their significance.

[Ava]

It sounds like there might be a misconfiguration with your GA4 gtag setup. Consider re-checking your gtag code and hosting it on every page to capture the events properly. Also, try using “Tag Assistant” by Google to check if the events are being sent or received. If all else fails, it may possibly be due to a script conflict or a blocking extension in your browser.

[Ava]

Sure, I’d be happy to guide you!

Google Analytics offers the User Deletion API where you can process data deletions for a specific user identifier. You can set this up from the top right drop down menu of events dashboard in Google Analytics. You’ll see many options, including setting up a custom timeframe for your deletions.

For handling it via Cloud Functions, it’s quite feasible too! Cloud Functions has friendly support for Google Analytics’ AnalyticsEvent. By using this, you can work with any conversion events you have logged and set up functions that trigger in response to such events.

Google Analytics for Firebase triggers even allow you to log event-related activity. This means you can track any user interactions in your app and set triggers based on these actions.

For instance, you can write a function that sets off when an ‘in_app_purchase event’ occurs. Specify the Analytics event that you want to seed your function using the functions.analytics.event() method.

Then, you just handle the event within the onLog() event handler:

`
exports.sendCouponOnPurchase = functions.analytics.event(‘in_app_purchase’).onLog((event) => {
// Your code to handle delete
});
`
So, in this transformed function, you can draft your deletions code and voila, you got yourself an automated data scrubber!

Remember, you need to have the required access credentials for calling the API from Cloud Functions. All feasible and right at your fingertips with a few lines of code!

[Ava]

The issue you are facing primarily signifies how GA4 operates with custom dimensions. GA4 uses a data model that deduplicates events, dimensions, and other parameters if the data appears the same, resulting in fewer rows in a report than the number of actual sent events. That’s likely why RunReportRequest is showing a row_count of 1 in lieu of 2. It recognizes the two distinct events you’re sending as one due to similar data, leading to deduplication. As both events share similar parameters, GA4 treats them as a single event, therefore, leading to an incomplete number of rows. Try to create a unique identifier for each event, this could be a timestamp or a unique event ID, to prevent GA4 from deduplicating the events. By doing this, each event is treated separately resulting in the desired number of rows.

[Ava]

Sure thing! It’s pretty much about messing around with the configuration Tag in the G4 settings. Add a trigger that excludes all the URLs you don’t want tracked – like your office or the local host. After that, don’t forget to hit “submit”. So, you’re basically telling Google “Hey, ignore these places when you’re gathering data!”. Kind of like marking off areas in a game of tag! Do double-check if everything’s done correctly, though.

[Ava]

You don’t actually need a key to use that second query. It’s a common misconception but Google APIs don’t always need a key – just the access token you obtained when the user logged in. As for your third query, it looks spot on—assuming the viewId from the second query is correctly placed into the “**FROM_PREVIOUS_QUERY**” spot. Good luck with your code.

[Ava]

The issue you are experiencing is likely due to the “_gl” parameters, which are Google’s Global site tag that helps with cross-domain tracking. This is actually a normal functionality for Google Analytics 4 (GA4), even if you haven’t set up anything specific for cross-domain tracking. These parameters automatically append to URLS when a user navigates through your site. The reason that the page looks like it’s refreshing might be because of the added parameters. If you want to avoid these parameters, you might try using GA4’s ‘exclude URL query parameters’ option. However, this might affect how your analytics collect data. It’s recommended to seek advice from a GA4 specialist or consider reaching out to Google’s support for a more comprehensible explanation and potential solution.