Users - Segments
Segments allow you to group users based on their events performed or not performed, along with User, Session or Event properties. You can use Segments to target these users with customised campaigns using Apxor's Messaging Toolkit to improve app KPIs.
Creating a Segment
Step 1 : Select the appropriate app version and a time period from the global time filter.
Step 2 : Click on the + icon to create a new segment.
- Step 3 : Choose the events performed by the user to filter them based on the events they did in the “Who did” section. You can add the number of times a user has performed an event using the count filter. You can also add any event properties here.
You can add the events users did not do in the “Who didn’t” section along with the count and any properties required.
- Step 4 : To filter out users based on User and Session properties, choose the Add properties option. You can add more than one user or session property.
- Step 5 : Name the Segment and save it.
Your newly created segment will now reflect at the top of the User Segments window. When you click on a segment, you can find the option to analyse it, create a new segment from it or delete the segment entirely.
Analysing a Segment
You can filter users from these segments based on the type of users like All Users, New Installs, Uninstalls or Returning Users using the tab shown below.
You can view the distributions of the users across various user and session properties.
Comparing two segments is an effective way to dig out insights. It helps you formulate assumptions about the users in the the segments.
In the segment comparison section, choose segments you want to compare. The graph below compares the number of users in each segment per day. You can view Aggregations like Average, Minimum and Maximum number of users in the segment trend by checking the Show Aggregation box.
Example: You can compare your positive and negative segment of users and understand their daily trend. Positive segment comprises of users who converted in a funnel. The negative segment has users who dropped off in the funnel.
Next, you can compare segments by grouping them based on User and Session properties.
Example: Compare the positive and negative segment by the property shruti_id. You can see that the shruti_id C3 has more negative segment users. This means that it is not working well in converting your users.