It is a KPI that leads to concrete measures

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Therefore, we recommend narrowing down the data to those who performed a particular action, such as "users who converted." user-explorer By "characteristic behavior," I don't mean something out of the ordinary. It's behavior that, while being normal in a sense, makes you think, "Oh, I see, that's the kind of behavior you see." For example, on one of our client's e-commerce sites, a behavior was occurring in which customers frequently viewed the "favorites" page in the process of "looking at the product list page, looking at the product detail page, and adding the product to their cart.


If a user is behaving in a way that deviates from the afghanistan telegram database usual path that they would normally follow, it is likely that they are curious about something or are researching something. This type of behavior is likely to be overlooked in aggregate data, so it is important to follow their footsteps with User Explorer. Procedure 1. Open "User Explorer" Click "User explorer" under the "Users" section in the side menu. step1-1 2. Use the segment function to narrow down your search by "users who converted" You can also apply segments to narrow down your data in "User Explorer.


" Since "User Explorer" is data about users, the key point is to narrow down your data by user-level segments, not sessions . step1-2 3. Click "Client ID" to view individual data The "Client ID" for "Users who converted" will be displayed, so click on it. step1-3 4. Look for distinctive behaviors It shows the actions of users who actually converted. You can check page views, goals, e-commerce, and events as user actions, so try looking for distinctive actions.