What are the recommended events in GA?

Implementing events in Google Analytics (GA) is essential for accurately tracking user actions and behaviors on a website or application. They provide valuable information about how users interact with your online business. In this article, we will review their different types and focus on the recommended events in GA , which are especially useful for eCommerce analysis. Types of events in GA In GA there are several types of events that can be used to track user actions. These are: Automatically logged events : These are predefined events that are automatically generated by GA to track common actions. For example, loading a page, viewing an article, or interacting with a video.

Record when users remove products from their shopping cart

Enhanced measurement events: Provide more detailed data on user behavior. Among them, the duration of a video playback or the interaction with scrollable elements. Recommended Events: These are specific events that GA recommends using for eCommerce analysis and other key actions. Custom events: can be defined and customized according to Thailand Phone Number Data specific needs. These are the recommended events in GA Among the events recommended in GA, there are that are especially useful for electronic commerce analysis. They provide crucial information about buyer personas and user actions during the purchasing process. And they can help you better understand the performance of an online store. Let’s look at each of them.

These are the recommended events in GA

Add payment info Record when users provide payment information during the checkout process . It is especially useful for understanding the pre-conversion steps, as it provides information about which users are willing to complete the transaction and which abandon at this stage. With this data, possible obstacles in the payment process El Salvador Phone Number List can be identified and optimized to increase the conversion rate. Add shipping info Note when users add shipping information . Provides valuable information about order logistics, such as frequency and  management can be optimized. In this way, delivery processes are  Add to cart Indicates when users add products to their car.