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Segmentation is a feature in Product Analytics that allows you to analyze and understand specific groups or segments of your user base. By segmenting your users based on various characteristics and behaviors, you can uncover valuable insights, identify trends, and make data-driven decisions to optimize your product and user experience. For example, you can segment users by purchase amount, active users in a given country, users in a trial, or users in a trial who then converted to a paying organization.
To create a new segment, navigate to Digital Experience Monitoring > Product Analytics > User Segments from the navigation. You have two sources you can choose from when building a new segment:
To create a new segment using Product Analytics data:
Choose the user attribute you want to connect your data with. In the below example, it is usr.id
, but you can use any user attribute available, such as usr.email
or usr.name
.
Under the Filter your segment section, you can filter on any attribute collected by the SDK, or custom attributes you added to create a granular user segment.
In the below example, the segment is filtered to all users who were on the /cart
page and then clicked on the checkout button (and did so from Brazil):
To create a segment using external or third-party data:
usr.id
, usr.name
, or usr.email
) to the column name.In the Sankey page, you can filter the data in the visualization to reflect a selected segment of users. This allows you to look at the experience and traffic patterns of a particular set of users in a given segment. The below example shows a Sankey diagram only for users in the “Premium users” segment.
You can filter the data in the Analytics Explorer to reflect a selected set of users that are in a given segment. The example below shows a list of users in the “Premium users” segment who were active in the last month, organized by the number of sessions they had.
추가 유용한 문서, 링크 및 기사: