Leo
Forum Replies Created
-
Currently, the exit page metric isn’t available directly in the GA4 interface. But Google is still in the process of updating and improving GA4, and it is expected that in the future more metrics, possibly including exit pages, will be included. However, you can nonetheless use some alternative ways to get this information. For example, you can assess user engagement with the ‘Engagement and retention’ features to understand where users leave your site, or look into the ‘path analysis’ in the Analysis module for closer insights into user behavior on the site. If you want more detailed data, it might be worthwhile to consider using the BigQuery GA4 export feature, but please note that it’s more technical and may require SQL knowledge.
-
It seems like Google Analytics 4 isn’t recognizing the full URL path of your Vue.js app, only the root (“/”). This could be because it’s a single page application where URL paths are often represented as fragments (after the “#”). One solution could be migrating towards using the ‘history’ mode in Vue.js that changes the URL without the “#” symbol. But remember, this can have other implications like needing server-side support to handle all paths.
-
Yes, the user identifier should remain constant if they are using the same device and browser, regardless of their location. To create a segment filter based on their first visit versus their current location, you can use the “users” and “country” dimensions in Google Analytics. To do this, you would need to create a new segment, add a condition for “country”, and specify the country for the first visit, then add another condition for “users” and specify the user identifiers. However, GA4 and UA handle user identifiers differently, so it may not be possible to track this perfectly. It’s typically easier to identify users based on their behavior, such as the pages they visited or actions they took on your website.
-
As of now, there seems to be a limitation when trying to use the dateHourMinute dimension along with the default channel grouping dimension in GA4 API. Based on the error message and the dimensions metrics explorer information, it appears the two don’t work well together and might be considered incompatible. Currently, GA4 API doesn’t seem to allow filtering data for specific default system segments like GA3 does. There’s no clear workaround on how to pull dateHourMinute data from GA4 API while filtering on specific channel groups. This might be an issue that Google needs to address regarding their GA4 API. You might want to consider reaching out to Google’s support for further clarification. It’s also a good idea to stay updated with any changes or updates in the GA4 API documentation.
-
In Google BigQuery, you’re on the right path to creating the nested structure you want for your data. The STRUCT function groups together the columns into a record, and ARRAY_AGG aggregates these records into an array. From reading your question, it seems that you want to give names to these fields inside the nested structure.
For this, you would use explicit field naming inside the STRUCT function. Here’s an updated version of your last SQL statement:
`sql
with test as (
select 123 cid, “sports” ec, “load” ea, “module” el union all
select 123,”marquee”,”load”,”home” union all
select 125,”bet_add”,”sports”,”football” union all
select 126, “bet_place”,”games”,”tennis”
)
select cid, array_agg(struct(ec as event_category,ea as event_action,el as event_label)) as events from test group by 1
`Here, the fields inside each record in your array aren’t just ordered values anymore, they are named key-value pairs: {‘event_category’: ‘sports’, ‘event_action’: ‘load’, ‘event_label’: ‘module’}, and so forth. This should help get your data closer to the GA4 format you want. If there’s anything else you need, feel free to ask!
-
The user is trying to run Google Analytics 3 (GA3) and Google Analytics 4 (GA4) simultaneously on a webpage, with the aim of getting separate client IDs for both. However, he is having trouble accessing the client ID for GA4. The user thinks this may be because GA3 and GA4 are sharing the same client ID, but isn’t sure if this is the case or if they’re misunderstanding something.
-
Sure thing! So instead of using URL tracking, consider tracking the form submissions as events in Google Analytics 4 (GA4). You can create a custom event every time a form is submitted, and that event can then be marked as a conversion in GA4. You’ll just need to make sure each form fires a unique event. This way, even if the URL changes, you’ll still be tracking those conversions. Hope this helps!
