Level up: analyze and optimize user cohorts with segments and properties

Join us on February 25 to learn how to use segments and properties and drive targeted, impactful change across your business with data segmentation.

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About this course

Make smarter, more targeted decisions by understanding how different user cohorts behave in your product. In this Level Up session, we’ll show how to use segments and properties together to isolate meaningful cohorts, compare them side by side, and uncover insights you can confidently act on.

We’ll review commonly used segments and properties, then walk through how to define and apply your own to support clearer, more consistent cohort-based analysis across Heap.

When? February 25, 9 am PT, 12 pm ET, 17:00 GMT

In this session, you’ll learn how to:

  • Create user segments to define and isolate meaningful cohorts based on behavior or attributes
  • Use defined properties to understand how those cohorts differ across key dimensions (like device, location, or lifecycle stage)
  • Compare cohorts side by side to identify differences in behavior, performance, and outcomes

This session is ideal for users who are comfortable with the fundamentals and want to run more focused analysis to understand why different groups behave differently—and what to do about it.
Register now to learn how segments and properties can sharpen your analysis and help you optimize experiences for every cohort.

About this course

Make smarter, more targeted decisions by understanding how different user cohorts behave in your product. In this Level Up session, we’ll show how to use segments and properties together to isolate meaningful cohorts, compare them side by side, and uncover insights you can confidently act on.

We’ll review commonly used segments and properties, then walk through how to define and apply your own to support clearer, more consistent cohort-based analysis across Heap.

When? February 25, 9 am PT, 12 pm ET, 17:00 GMT

In this session, you’ll learn how to:

  • Create user segments to define and isolate meaningful cohorts based on behavior or attributes
  • Use defined properties to understand how those cohorts differ across key dimensions (like device, location, or lifecycle stage)
  • Compare cohorts side by side to identify differences in behavior, performance, and outcomes

This session is ideal for users who are comfortable with the fundamentals and want to run more focused analysis to understand why different groups behave differently—and what to do about it.
Register now to learn how segments and properties can sharpen your analysis and help you optimize experiences for every cohort.