User Segments in Refiner

Refiner comes equipped with a powerful user segmentation engine that allows you to group your users based on their traits and behaviour.

What purpose serve user segments in Refiner

User segments play an important role in Refiner and you’ll see them in many different places. Segments allow you to

  • Create target audiences for upcoming surveys. You can use segments to survey a specific group of users.
  • Better analyze your survey data. Segments allow you to filter survey responses in your Reporting Dashboard and look at your data from different angles.
  • Show only specific answers in your Feedback Hub. This is helpful when you only want to read through responses from a certain group of people, for example your Power Users or NPS Promoters
  • Trigger an integration when a user enters a segment
  • Send a notification to your team when a user enters a segment

The ability to create user segments based on traits and tracked events opens up many interesting use-cases when targeting your users.

You can for example create segments based on subscription data and then compare how different customer groups responded to a survey.

Or you can survey users who performed (or did not perform) a certain action within your application.

How to create user segments in Refiner

Creating a user segment in Refiner is straightforward. Follow the steps below to create your first user segment.

1/ Navigate to the “User Segments” section in your account and click on “Create new segment”

2/ Add as many filter as needed to define your segment. Refiner supports filter groups which allow you to create deep user segments based on various traits.

Our segmentation engines allows you to create segments based on different data points, notably you can use

  • Your user data which we received when you identified the user with our client library
  • User events which we received through our JavaScript client, our REST API, or one of our integration.
  • Survey responses given by a user
  • Auto-generated fields like “first seen” or “last survey response”
  • Past survey interactions like completing or dismissing a survey