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The user report screen of the user group mainly consists of the following three parts.
You can see basic data such as the number of users in the relevant user group, the percentage of all users, the number of active users in the last 7 days, and the access status of the top 20 users, and you can know the details of the user well through user identification
You can analyze the demographics/behaviors of this user group like events, location, and visit page, etc.
You can check the list of all users belonging to the group and attribute data and output it in CSV format. We provide default property like city, browser, last active day, etc, you can add more properties using user identification
Furthermore, you can connect your own customer data from different kinds of data sources. Please chat with us if you would like to do that
By now, you should already have some understanding of the user group page, but let's see how to use it in a better way.
Valuable data is the basis of the segment. After reading the following contents, I think that all the questions such as what kind of data is needed, how to collect the data, and how to use the acquired data will be solved! Please read it to the end.
Besides default user behavior and attribute data we collected by default,you can also adding more properies using user identification code.
1. Acquisition of basic data By installing a basic tag, you can get basic data of users who visit your site which include user behavior data, attribute data during a visit, and user attributes such as "Visite Page", "URL source", "last active" are all collected by default.
2. Acquisition of valuable customer property By using user identification code, you can add more valuable properties to the users to gain more effective insights. For example, you can add Demographic data such as "age", "gender", "income" from the form they submitted or you can add behavior data such as "Add to cart" when they actually do that.
To find a specific group of users, you can identify the target user by adding a filter condition from "All People" as needed. After filtering out the specific user group, you can save it as a "user group" which would be automatically updated based on the filter condition. There are three categories of filters you can use:
1. User behavior
It is used for specific behavior like visiting a page, trigger an event, etc.
2. Visit properties
it describes the attributes of each visit like device, UTM parameters, location, etc. For example, if you set the filter condition as "OS Exact match iOS in the last 7 days" like below:
It would find the user who has once ever visited the website using iOS during the last 7 days ( he could also visit the website using PC sometimes).
3. User properties
It contains the property which represents the updated status of the user. We provide some built-in properties like "first seen", "last active", "total sessions" ,etc. You might also see some items in the "Visit properties" also appear here like "os", "browser", "country", etc. The difference is that here it specifies the last visiting status. For example, if you use "OS Exact match iOS" like below:
It would find the user whose lastest visit is using iOS.
Besides the built-in properties, all the valuable user properties you created using user identification would appear here.
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