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User Flow Analysis

Analyzing paths users take through your application can drive product decisions

User Flow reporting visualizes the different paths users take through tagged events within your application. Understand the true behavior and methods of interaction with different features and functionality as well as discover potential roadblocks or points of drop off that occur.

Understanding how users are executing different functions in a software application can be difficult since behavior patterns will vary from user to user. User Flow aggregates the most common paths users take, allowing analysis on whether improvements can be made to help them accomplish different actions within your product. Groups of users with different attributes may (or may not) exhibit very different paths. Analyze groups separately to ensure the experience your product team optimizes for is well received by all segments. Utilize the system events of “Session Start” and “Session End” to see what the first events users triggered when beginning your application and the last interactions they had leading up to their closing of the application respectively. This data can help determine if the customer experience is an ideal one or may have room for improvement.


  • Suggest improvements for UI/UX usability with data
  • Find opportunities to increase feature adoption and usage
  • Analyze patterns by user segments
  • Identify first and last user interactions
  • Drill down into specific paths user take
  • Highlight broken or unexpected user flows



Usage Intelligence

Software usage analytics gives you powerful insight to build better products, convert trial users, and retain customers.

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Usage Intelligence

Software vendors and enterprise application development organizations use Usage Intelligence to understand feature adoption and end user engagement to drive decisions about product development, roadmaps, and packaging and pricing models

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Solution Brief

5 Quick Wins to Get Started with Software Usage Analytics

Game-changing insights that reduce assumptions about your users’ behavior and bring knowledge into your decision making processes.

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