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Retention and Churn Analysis

Acquiring new customers is essential to growth, but retaining current ones is equally important

Research shows that increasing retention by 5% actually increases profits anywhere from 25% to 95%. Having an efficient mechanism to measure churn, or user attrition, and learning about what is triggering users to move away from your product is crucial in improving your conversion and retention rates. By measuring user engagement and churn rates for new installations you can measure how long users stay engaged with your application after installation and visualize at what point in their evaluation cycle users drop your product.

Compare how engagement and churn patterns vary between different versions, editions, languages or other user profiles or understand whether users are making good use of your trial period. Analyze churned user profiles to identify the product details, OS profile and hardware specifications of users who churn away from your product to determine if a specific profile of users is more likely to churn away. Once you have identified the factors leading to churn, you are in a better position to take steps to improve retention.


  • Help build customer loyalty by understanding usage behavior to increase retention
  • Compare usage trends of active versus less active customers
  • Visualize customer drop off points or time to abandonment
  • Compare attrition rates among cohorts to identify patterns
  • Optimize marketing campaigns and product messaging by propensity to churn



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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