Product teams work tirelessly to build products that customers will love. But how do they know when it is time to celebrate their success? Or how do they know when they may need to go back to the drawing board and try again? Software usage analytics offers many key metrics and insights for product teams, but one of the most important is the ability to measure the level of user engagement with your application.
The first step in calculating User Engagement is determining whether you want to focus on user engagement with the overall application or on specific features within the application.
Next, you need to understand the general expectations or goals based on your specific product.
Once you have identified the parameters for you inquiries, you will want to measure key performance metrics and get your benchmark data set so you can compare how your application and feature engagement is increasing or decreasing over time:
Charting application and feature usage over time can uncover general usage trends or spotlight significant changes (positive or negative) in overall user engagement. Once you have calculated user engagement tracking implemented, you can answer questions like these:
Keith is Revulytics’ VP, Software Analytics and was the co-founder and CEO of Trackerbird Software Analytics before the company was acquired by Revulytics in 2016. Following the acquisition, Keith joined the Revulytics team and is now responsible for the strategic direction and growth of the Usage Analytics business within the company. Prior to founding Trackerbird, Keith held senior product roles at GFI Software where he was responsible for the product roadmap and revenue growth for various security products in the company's portfolio. Keith also brings with him 10 years of IT consultancy experience in the SMB space. Keith has a Masters in Computer Science from the University of Malta, specializing in high performance computing.
Instinct can lead to wonderful places. Henry Ford and Bill Gates are just a couple of business leaders who followed gut decisions ...
Despite an industry obsession with data analytics, most companies lack confidence in their ability to pull off advanced big data ...