SOFTWARE MONETIZATION PRODUCTS
Retention and Churn Analysis
Acquiring new customers is essential to growth, but retaining current ones is equally important
The content on this page specifically references churn analytics for on-premises applications. If you're interested in SaaS churn prevention, please read the SaaS Churn Rate Survival Guide.
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.
WHAT IT CAN DO
- 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
Resources
Data Sheet
Usage Intelligence
Software usage analytics gives you powerful insight to build better products, convert trial users, and retain customers.
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Unlocking On-Premises Software Growth with Product Usage Data
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Webinar
Software Usage Analytics for Desktop Applications
In this session, we’ll dive deeper on what’s relevant for Desktop Applications when it comes to Analytics. We’ll discuss questions that need to be answered, and there will be plenty of time for you to ask questions of your own as well.
From the Blog
Blog
How to Launch Usage-Based Pricing for SaaS and AI
Blog
Your Ultimate Guide to SaaS Pricing Models
Blog
SaaS Churn Rate: Your Ultimate Survival Guide
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