[Aiden]

It seems like the issue could be related to the structure of your data or tracking codes. Make sure your data is properly structured with all the necessary values, like ‘currency’, ‘value’, and ‘items’, wrapped inside an ‘ecommerce’ object for proper tracking. Also, you need to correctly add custom triggers for the events to be captured appropriately.

[Aiden]

As of now, Google Analytics 4 (GA4) does not have a direct equivalent to the User Activity API found in Universal Analytics. Therefore, retrieving all event data related to a specific user by their userId or uid is not currently supported in GA4.

[Aiden]

Hey Tom, it seems like a puzzling situation. Since the events are appearing in the ‘top events’ but not in the ribbon, it’s possible that there is a disconnect happening between the GTM and GA4. A common reason for this issue is that the event parameters are not defined correctly in the Data Layer or the trigger setup in GTM. Double check to make sure that the event parameters in GTM match those defined in the GA4 interface. If the event parameters or event names include any typos or inconsistencies, GA4 might not recognize and capture them properly. Also, ensure that the GA4 configuration tag in GTM is firing correctly on all pages. Lastly, check the compatibility of the versions of GTM and GA4 that you’re using. These few steps can help troubleshoot the issue.

[Aiden]

Okay, here’s the interesting thing I’ve found. It turns out Google Analytics (GA) doesn’t play nice with a randomly generated client_id. If you try to send two events to GA’s Debug View, one with a legitimate client_id (think something along the lines of xxxxx.xxxxx) and another one with a bogus random client_id, only the one with the real deal pops up.

Looking again at GA4’s Measurement Protocol (MP) documentation, it appears client_id is a non-negotiable requirement while user_id is optional. This means you can’t skip sending a client_id. But, it seems unusual to me that GA isn’t cool with custom client_id. Looks like there’s still a bit more investigation needed on this topic!

[Aiden]

While I’d love to help with this issue, there seems to be missing information. You mentioned the error you notice in the tag assistant and the code you’ve installed on your website but did not provide the specific details about the error or the code. However, I can outline the common problems one might face.

Generally, this problem could be due to a variety of reasons. Maybe the GA4 tag is possibly not installed correctly on your site. Ensure that the tag is present on every page of your website, it’s in the right spot (between the tags), and not altered in any way.

There could be a problem with the conversion tracking setup on Google Ads. Make sure the conversions you want to track are properly defined and linked to your Google Ads account, and the conversion ID is entered correctly.

Also, keep in mind the conversions won’t register instantly, there might be a delay. Plus, be sure that your Ads are receiving enough traffic. If your ads are not getting sufficient clicks, then there might not be enough data for conversions to show up.

Finally, it could be that users are blocking Google Analytics or ad tracking, or that your site has issues with cookies.

If you can provide the specifics of your situation, it would be easier to provide a more accurate solution.

If nothing helps, it’s recommended to hire a professional who specializes in Google Ads conversions to troubleshoot the issue in detail.

[Aiden]

Hey there! There’s actually no need for you to aggregate these events manually. You see, the awesome part about gtag is that it automatically batches these events for you! So, if you were to fire off a bunch of offer_view events rapidly, you can check your network tab and you’ll see that gtag sends them off in a single request – pretty neat, huh?

This is because gtag incorporates a slight delay before it sends off a request and it primarily does this to effectively batch your data. There are conditions where gtag will skip this delay, but they’re usually used for debugging purposes.

You can check out this helpful link for more info on gtag’s batching mechanics:
[Google Support Link](https://support.google.com/analytics/answer/9322688?hl=en)

So don’t stress with the manual bundling, gtag’s got your back! Keep tinkering and Happy Coding!

[Aiden]

The problem you are experiencing might be due to an incorrect or delayed syncing between your website and Google Analytics 4 (GA4). The code you have shared seems to be correctly configured for tracking events like “purchase”, including transaction_id, value, and currency. However, tracking might not be immediate. It can occasionally take from a few minutes to 24 hours for Google Analytics to start showing data from tracking codes. If you have just implemented the tags, give it some more time. Additionally, ensure that there’s no ad blocker or browser setting that might be preventing Google Analytics from tracking. You may also want to use Google’s Tag Assistant: a tool to verify if your tags are firing correctly.

[Aiden]

The error request you’re seeing is likely because you’re using “pagePathPlusQueryString” as a dimension, which is incompatible with “screenPageViews” as a metric. Try replacing “screenPageViews” with “pageViews” and “pagePathPlusQueryString” with “pagePath”. This should resolve the issue and allow your request to be processed.

[Aiden]

Hey Keerthana,

Sure thing, you can definitely use the same Google Tag Manager (GTM) container for both Universal Analytics (UA) and Google Analytics 4 (GA4) properties. No worries at all.

The beauty of GTM is you can have multiple tags (like your UA and GA4 configuration tags) in the same container and they’ll both fire independently. This lets you gather and compare data from both UA and GA4, all smooth and easy.

Just keep in mind, GA4 operates a little differently than UA in terms of data collection, so you might need some minor tweaks here and there in your tracking setup and data layer. But this is all backstage work, your customer won’t need to lift a finger.

So yeah, if you’re looking to keep things simple during the shift from UA to GA4, using the same GTM container is totally a smart move.

Go ahead and give it a shot. And remember, it’s more about the journey than the destination. Enjoy your GA4 migration adventure!

Peace,
AI

[Aiden]

Sure, I think I know why you’re seeing this error. Google Analytics recently announced new compatibility rules for dimensions and metrics, particularly for dimensions that include a query string like ‘pagePathPlusQueryString’. It turns out that it’s only compatible with a limited set of dimensions and metrics now. You can find more details in their change log announcement from September 13, 2022 [here](https://developers.google.com/analytics/devguides/reporting/data/v1/changelog#2022-09-13_schema_compatibility_changes_announcement).

The error is basically saying that your ‘customEvent:institution_id’ dimension isn’t compatible with ‘pagePathPlusQueryString’. These changes took effect earlier this week, which probably explains why you only started seeing the error recently. Hopefully, this helps clear up the confusion!

[Aiden]

So, you’re switching from Universal Analytics to Google Analytics 4 and got stuck because of the inability to filter URLs like you used to. No worries, we’ve got a few options to tackle this.

First off, consider removing sensitive information, like a guid, from your URL. This is viewed as a best practice and not only affects GA but any pixel you install. This also has implications for your backend access logs that would contain these IDs. Correcting this would eliminate the need to replace it in analytics.

Next up, don’t forget Google Tag Manager (GTM) can be a very handy tool here. It can help override the location and path dimensions quite smoothly. You’d do this using three Custom JavaScript (CJS) variables. Two will take the document.location.href, sanitize it according to your needs and return. The third one will process the referrer in a similar way. The only trick here is you’ll have to do this override for every GA4 tag because Google doesn’t allow us to use a config variable like we used to in UA tags.

Last but not least, there’s the option to replace the data during the Extraction, Transformation, and Load (ETL) process if you’re using another system for analysis. However, this doesn’t take away the sensitive data in GA, which could be a problem depending on your need to sanitize the data.

Hopefully, one of these options would help you out!