Visual Analytics – A Proven Technique Of Optimizing Mobile App Performance

With smartphones taking the mobile phone industry by a wave, it has become essential for the mobile app developers to take special measures in ensuring the flawless functioning of the apps. Irrespective of the type of target audience you’re focusing, make sure your mobile app has all the elements that need to go into a user-friendly application that can be used by one and all.

Visual analytics have emerged as one of the finest techniques of boosting the overall performance of the mobile apps. Through this blog, I’ll be throwing some light on the process of optimizing app performance using the fundamentals of visual analytics.

Visual Analytics- What is it exactly?

Well, visual analytics is an app monitoring process wherein there’s a usage of the visual mobile app analytics tool. Whether its about monitoring the number of daily sessions for the app, daily downloads or daily users; a visual app analytics tool allows you to do all this and much more.

It is beneficial to measure, optimize and understand the application’s UX using a visual app analytics tool. With a wealth of information about how people are swiping, pausing, pinching and dropping out from your app; you’ll be able to better optimize your application. You’ll get to know about the areas which need to be improved for enhancing user engagement, in-app monetization and conversions.

Here’s a listing of the ways in which visual analytics tools can fetch you the app information that can be used for filling up the loopholes in your app:

• Realtime In-app analytics

Visual mobile app analytics tools allow you to view in real-time, where the users are spending a majority of their time, which are the screens, they were on while abandoning the app, which screens have UI issues, what is the actual user flow across the mobile application and a lot more. With detailed, in-app real-time analytics reports, it would become easier for you to pinpoint the key areas within the app that are affecting the overall user behavior.