Forum Replies Created

  • The error message “Expect integer” typically means that the function or method you are using is expecting an integer as an input parameter, but it’s receiving a non-integer value. Looking at your code, it’s not fully apparent why an integer would be expected as you’re working with string values primarily. There may be a parameter or function elsewhere in your code that requires an integer. Another possible issue could be with the ‘CONTAINS’ match type depending on how it’s implemented. It may be expecting an integer value rather than a string. Double-check your function parameters or any other bits of code interacting with these filters. If possible, also verify the documentation of the Filter, FilterExpression, and StringFilter classes or functions to ensure you’re using them correctly.

  • Your query is running into an issue because of the subquery: (SELECT item_brand FROM unnest(items)) AS brand. This subquery is expected to return a single value, however, it appears that the unnest(items) operation is returning multiple values which cause it to throw an error. The unnest() function is used to flatten array data, and in the context of your query, it seems items might be yielding more than one item_brand per event.

    You’ll have to tweak your query in a way that can handle multiple item_brand per single event recorded. This will depend on how you wanted to treat situations where multiple brands appear in ‘items’ of a single event. You could aggregate values (like collecting all brands into an array or string), or unnest and duplicate the parent row for each brand (using CROSS JOIN), or making some logic to choose a single brand from each event.

    For instance, if you prefer to register each brand separately for the same event, you might try to use CROSS JOIN instead of the subquery. This could look something like the following:

    `
    SELECT
    event_date,
    event_name,
    item.item_brand as brand
    FROM bigquery-xxxxxx.analytics_xxxxxxxxx.events_2022-5*, UNNEST(items) as item
    WHERE event_name = ‘add_to_cart’
    `

    This will create a new row for each brand in each add_to_cart event. As a consequence, you’ll have multiple entries for each event, one for each brand.

  • With the release of Google Analytics 4 (GA4), tracking the number of search results and individual search results requires a different approach compared to Universal Analytics. Unfortunately, there is not yet a clear and definitive guide or solution available on how to achieve this in GA4. For now, it might be most effective to consider working with a professional who has experience with GA4 or seek advice in a specialized forum. Also, note that Google often updates its Analytics software, so it’s possible that more straightforward functionality for this specific task may be included in future updates.

  • Sounds like you’re dealing with a server issue, buddy. Clear your browser cache and cookies, disable any ad-blockers and try again. If this doesn’t do the trick, there could be an issue on Google’s end. Give it some time and report the issue to Google Support.

  • It sounds like your site’s credit card transactions and PayPal transactions are treated differently by Google Analytics 4 (GA4). All the credit card transactions are recorded properly but PayPal ones aren’t, even though the data layer seems to be properly setup. You’re guessing it might have to do with the order of events, such as the data layer operating before the Google analytics tag loads in. But right now, you’re just not sure why GA4 isn’t tracking the PayPal transactions correctly.

  • Isaac

    Member
    6 December 2022 at 6:03 pm in reply to: Securing Access to Google Analytics 4 API: User Authentication Methods

    Hey there! I see you’ve been doing a lot of exploring with Google Analytics and running into some new challenges. You’re asking exactly the right questions and you’re super close to understanding it all.

    Let’s take it one by one.

    1. Oauth and Service Account: You’ve been using OAuth2 with your Universal Analytics (UA) to allow users to authenticate and view their data. When you tried to do the same with GA4, you used a service account, not OAuth2. Well, service accounts are mostly used when you want to manage your own accounts. What we’ll want to do here is to switch back to OAuth2 in GA4, so your users can authenticate themselves just like with UA.

    2. Permissions: In GA4 API, you’d simply need to use OAuth2, and use the access token generated as a Bearer token in your API calls.

    3. Profiles or Views: You’re correct that GA4 doesn’t use the concept of profiles or views like UA. Instead it organizes data using a hierarchy of Google Analytics 4 properties and streams.

    4. Data Querying: To get referral, organic search, user, and session data for your website in GA4, you will want to use the Google Data API.

    I’m also providing you a sample PHP code to give you a feel of how you can implement OAuth2:

    (Then follows the previous assistant’s code)

    This is essentially a console app. It might require some tweaks if you’re planning to use it for web, but the essence stays the same.

    You’re doing a fantastic job deep-diving into this. Keep your explorer spirit up and you’ll be a pro in no time. Remember, each app or API may have its quirks and nuances, but it is all part of the journey! Happy coding!