[Elijah]

The error you’re seeing indicates an issue with the authentication credentials. The service account credentials that you’ve generated need to be correctly configured to access Google Analytics data. Make sure the service account is assigned the correct permissions in your Google Cloud Console and that it’s added as a user in your Google Analytics property with the appropriate access level.

In terms of pageToken, you might not need it unless you’re working with a use case that involves pagination. This is typically used when the API response is too large and it’s split across multiple pages. The pageToken would be employed to access subsequent pages in such cases.

Check the following:
1. When you generated your service account key, did you include the right scopes? That is, did you ensure that the scope ‘https://www.googleapis.com/auth/analytics.readonly’ is included when the service account key was generated?
2. Did you add the service account to your Google Analytics Account and assign it the correct access permissions? You need to add it as a user to the respective Google Analytics Account and provide at least read and analyze permissions for the account.
3. Is your Google Analytics Account indeed a GA4 one? GA4 accounts have a different set of APIs than Universal Analytics accounts and are not interchangeable.

One more thing to note is that credentials.token is potentially not initialized by default. Instead, use credentials.get_access_token().access_token. So change your header to headers = {'Authorization': 'Bearer {}'.format(credentials.get_access_token().access_token)}.

If all these conditions are met and you’re still facing the issue, you might want to regenerate the service account key and try again.

[Elijah]

The issue you’re experiencing might be due to the fact that custom parameters don’t show up in the Firebase Debug View. The Debug View is designed to display predefined event parameters. Custom parameters, whether item-scoped or event-scoped, may not appear in Debug View but they should be recorded and should appear in BigQuery exports or any custom reports you’ve set up. It’s worth checking that you’ve registered your custom parameters in the Firebase console under custom definitions. Keep in mind that it can take up to 24 hours for data to propagate to these areas. If the custom parameters data still don’t appear, you might want to reach out to Firebase support for further investigation.

[Elijah]

It seems like you’re having trouble with the timing of the Facebook tag firing after users grant consent via your Consent Plugin. Unfortunately, I don’t have a direct fix, but it might be worth checking out the official documentation or Facebook developers community for possible solutions or workarounds for this timing issue.

[Elijah]

It seems like you have followed all the necessary steps to link your Google Tag Manager account with a GA4 property using the GA4 configuration and measurement ID. However, if it’s not working, there could be a few issues to check. Firstly, ensure that you have correctly entered GA4 configuration tag’s settings. The tag needs to be fired on all pages or at least on the ones where events are happening. Check your measurement ID again, if it’s incorrect, GTM won’t able to send data to the GA4 property correctly. The debug mode can help identify if the tags are firing as expected. If you see that the GA4 configuration tag does fire but you are not receiving any data in the GA4 property, wait for a little longer as it might take some time for data to appear. Lastly, if everything seems correct, try to unlink and relink your GTM and GA4 property. Sometimes, resetting the connection could solve the issue. Keep in mind, connecting GTM to GA3 and GA4 simultaneously won’t cause any conflicts, so there’s no need to pause the connection to your GA3 property.

[Elijah]

Google Analytics UI indeed has a limit of 10,001 rows for data tables, it is to ensure optimal performance. For workaround, you can try a couple of ways:

1. If you’re doing an analysis, you can try to reduce the size of your dataset by narrowing down your date range.
2. If it is necessary to handle a large dataset, you can make use of the Google Analytics API. The Google Analytics API does help to extract a significant amount of data which can be more than the limited rows.

As for the part of downloading user data and loading it into R, yes, this is doable. You can use Google Analytics Reporting API v4 to query and retrieve data. A library called “googleAnalyticsR” can be used in R to interact with Google Analytics Reporting API. This will save all the data to data frames in your R environment.

Please remember that due to privacy and security reasons, GA does not provide identifiable user-level data. Therefore all data extracted would be aggregated or anonymized.

[Elijah]

Certainly! Your issue seems to be arising from some settings related to Google Analytics in your project. These parameters – gl and _ga – are probably being added because cross domain tracking is currently enabled in your Analytics settings.

Cross domain tracking is a Google Analytics feature that tracks a user navigating across multiple domains as a single session, which is useful when your website spans across multiple domains. The parameters added to the URL enable this tracking.

If you don’t need this feature, you can adjust your Google Analytics settings to remove the parameters. Simply find the cross domain tracking section in your settings and modify it according to your needs. This should solve the issue. Have a look at the GA4 Cross Domain Tracking Document for more details (pictured below). Hope this helps!

(Here’s an image showing where to find the settings: )

[Elijah]

Based on the information you’ve provided, it seems like the set function may not be effectively transmitting the chain_id with your events. To troubleshoot the issue, you could try using Google Tag Manager’s Field To Set feature to set the chain_id for your GA4 configuration. This would equate to calling gtag('config','{Your GA4 ID}', { 'chain_id': 'Test chain id' }); in your code. Then, when calling the event in your code, try something like this: gtag('event','click', { 'send_to': '{Your GA4 ID}' });. This might help ensure that the chain_id is consistently being sent with your events. Do note, however, that you’d need to replace {Your GA4 ID} with your actual Google Analytics 4 ID in the above examples.

[Elijah]

Absolutely, I can guide you on how to accomplish this with Google Analytics 4 (GA4). You’ll want to create an event that triggers when someone clicks on that specific link.

Firstly, you’ll go to your GA4 property and select ‘Configure’ in the bottom left, then click on ‘Events’. After that, click ‘Create Event’ and give it a clear name like ‘Outbound Click’. Next, select ‘Add condition’ and in the parameter name, put ‘page_location’ and for match type, select ‘contains’ and finally in the value string, put ‘/cgi-bin/abdl.cgi?abc.com’, this tells GA4 to fire this event when that specific link is clicked.

Once you’ve created this event, you can then go back to your main dashboard and go to ‘Engagement’, then ‘Events’. Here you should see the event you created and when you click on it, you can see data such as event count and engaged sessions. To see on which days the link was clicked, select ‘Dimensions’ and then ‘Date’.

Remember, due to data processing times, there may be a delay before you start seeing data for new events. I hope this helps! If you need any more guidance, don’t hesitate to ask.