[Li]

The problem you are experiencing with extracting data from your GA4 report could be due to a couple of things.

Firstly, the data update interval for GA4 could be set to a larger duration, thus the most recent data might not be available at the time of your request. If it’s set to update every hour, the report you pull a half hour after the last update might not contain the most recent data. It might be worth looking into adjusting the data update interval to a smaller time frame to get more up-to-date reports.

Secondly, it’s also possible that the report data is being aggregated in a way that is causing some data to be omitted. The specific settings and parameters with which you’re pulling your reports might be worth revisiting.

Lastly, there could be a delay in the time it takes for events to be processed and appear in your reports. This is typical in data reporting and could be the reason why you’re not seeing some cities appear in your pulled reports that you can see in real-time on your dashboard map.

Without more information on your exact setup and configurations, it’s hard to pinpoint the exact cause. It’s a good idea to revisit your settings, the parameters with which you’re pulling reports, and also consider if processing delay could be affecting your data.

[Li]

It sounds like an interesting challenge you’re dealing with! You might want to debug the events using the website https://ga-dev-tools.web.app/ga4/event-builder/. It’s a practical tool that can provide more detailed insights. Hope this helps you understand the issue better!

[Li]

The individual is seeking to track every instance of a button click on their website using Google Tag Manager (GTM) and Google Analytics 4 (GA4). They have assigned each button a unique label and set up an event in their GTM where the action recorded will be the specific element clicked and the label the text that is clicked on. These specific measures are implemented because simply tracking the links isn’t sufficient due to their abundance on the site. They have shared how they have set up this tracking process and provided insight into their current code setup. Their goal is to have every single button click feature in their GA4 data analysis.

[Li]

Unfortunately, Google Analytics (Universal Analytics) does not explicitly provide these specific metrics (active storage, long-term storage, streaming inserts, streaming reads). However, you can estimate them based on your website or app’s usage data. For example, the storage (active and long-term) would be related to how much data your analytics is capturing and storing. This can depend on factors such as the number of users on your site, number of events tracked, and how long you’re storing the data. As for streaming inserts and streaming reads, these are more about how frequently you are sending data to and from BigQuery. But keep in mind these are just estimates and the actual cost can be different. You might want to contact Google Cloud Support for more personalized and accurate cost estimation.

[Li]

As of now, Google Analytics 4 does not officially support the User Activity API which was available in Universal Analytics. The way data is handled and structured is quite different in Google Analytics 4, focusing more on event-driven data. This new paradigm shift does not currently provide a built-in method to extract all event data for individual users using their userId or uid. It’s always worth keeping an eye on updates and changes from Google, as they may introduce new features and capabilities in the future.

[Li]

It seems like you forgot to specify the particular term you’re asking about. Regardless, there may be terms used across various analytics platforms and not exclusive to Google Analytics. The terminologies differ from platform to platform based on their design and functions. It’s always a good idea to refer to the platform’s official guide or user manual to understand specific terms, or directly searching the term on the internet for a holistic understanding.

[Li]

While both gtag and GTM’s dataLayer are used for tracking purposes in Google Analytics, they do have certain differences. Particularly, the ecommerce property in dataLayer is needed due primarily to how Google Tag Manager (GTM) is designed. GTM uses the dataLayer object as a virtual layer for storing and managing variables that are used to send specific information to Google Analytics and other systems. The ecommerce property is specially designed for ecommerce data, acting as an attribute for all ecommerce related actions, making it easier to deal with this kind of data. Moreover, providing structured data like the ecommerce attribute in dataLayer can be beneficial in ensuring your tracking code is flexible, maintainable, and scalable.