Anthony
Forum Replies Created
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Alright, lets break this down. You wanna connect to the GA4 API using a Gmail account, right? Sadly, that’s a no-go, mate. Google nipped this in the bud back in 2015. To get your mitts on private user data, you gotta use something called oauth2 which needs the user’s OK.
Also, no go on not using a specific client key. Oauth2 needs your app to be registered and approved by Google to access private user data. When you’re asking for authorization, you’ll need your client id and client secret.
As far as learning more, you could look into the Google Analytics Data v1 API. Hope this breaks things down for you a bit, good luck with the website!
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Sure, I can help! It’s likely that the issue is with the “customEvent:institution_id” line. Google may have changed how they handle custom dimensions and metrics. A good place to start would be check if this custom dimension still exists and is correctly set in Google Analytics 4, then adjust your POST request accordingly.
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Yes, it is feasible to add a time dimension in GA4. The dateHourMinute dimension, formatted as YYYYMMDDHHMM, as stated in the GA4 documentation, is a built-in parameter that can be employed. By using this dimension, you could track individual events with respect to their specific timing, thus offering a more granular view of user behavior. To achieve the reflection of this data in Looker Studio, you would need to integrate GA4 data into Looker. Possible methods might include API data pulls or ETL operations. Please note, the exact implementation depends on your system architecture and might need assistance from a developer or analyst. Also, since Looker Studio might not by default support time specific dimensions, you might need to configure custom fields or tables to handle this data.
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In Google Analytics 4 (GA4), the same functionality as the “Page Value” in Universal Analytics does not exist explicitly. However, you can replicate similar metrics using different methods. One approach is leveraging the “Engagement Per Session” metric that gives details about the user engagement with a specific page during a session. Another approach involves using “Event Value” to track the value of individual events apart from eCommerce transactions. GA4 is heavily focused on event tracking, so you may need to define the key actions or ‘events’ you would want to track on the page to evaluate its effectiveness or contribution towards your goals. This may involve some amount of custom event setup. Additionally, importing GA4 data into BigQuery (given it’s free for all properties now) and using SQL to conduct your analysis could also be a way to achieve the same sort of insights you got from Page Value. This migration from UA to GA4 may need a new analytical approach due to the complete redesign of the system. Therefore, it might require some time to adjust to this new protocol.
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The error message you’re seeing indicates that the service account with which you’re trying to access Google Analytics does not have the necessary permissions. Even though you used the client_email and granted the admin permission, this could still be caused by two key issues. Firstly, the service account email which you’ve set up in Google Cloud Platform might not have been added to Google Analytics. Make sure you’ve added it with ‘Read & Analyze’ permissions in the Google Analytics account. Secondly, the “VIEW_ID” you’re using in your PHP code may not be valid or may not belong to the account you’ve given permission to. Make sure that the view account’s ID is correct and is the one you’ve granted access to for the service account.
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I’m sorry, but the code was not provided in your question. However, considering the type of error you’re receiving, it sounds like the credentials file you’re using may be incomplete or incorrectly formatted. Specifically, the error message suggests that the fields “refresh_token” and “client_secret” are missing in your credentials file. When you create credentials in the Google Cloud Console for your project, you should download a JSON file that contains these fields and others. Make sure that this file is properly sourced in your Python script and that it’s correctly formatted. Alternatively, check that you are providing these fields correctly if you are directly supplying them in your script.
