App Analytics

The Need for Mobile App Analytics

In the world of apps, competition is fierce. With over one million apps available on Apple’s App Store and Android’s Google Play store, respectively, getting your app noticed is an uphill battle. As app use becomes standard, app users become more savvy; they know to expect great value and will settle for nothing less.
With the cards stacked against you, a major step will need to be taken to garner attention and users and that step is implementing mobile app analytics.
In order to optimize your app to meet your users' needs and expectations, you have to measure and understand where the problem areas are and learn the causes of user drop-off. Implementing mobile app analytics will provide you with these insights.

Simple Analytics vs. Visual Analytics

When it comes to mobile app analytics, app makers have relied on traditional analytics for their statistics and trends, which primarily provides them with key metrics, but not with the reasons behind these metrics. App makers need a more in-depth solution to understand how the app is being used. Traditional mobile apps analytics may inform you of the screen from which users are dropping off, but the cause of the drop-off remains unclear.
The guessing game is not an efficient way to make necessary changes to an app. Despite loads of user testing pre-launch, apps can encounter a slew of problems after their release, ranging from confusing user interface to crashes to usability.
Appsee’s visual analytics solution eliminates the guesswork and enables app makers to see how users interact with their apps and where they encounter problems. Visual reports allow for full transparency into the way users really use your app and allows access to the reasons behind their actions, whether on iOS or Android.

Turning Insights Into Optimized UX

User experience (UX) is one of the key elements in determining the success of an app. Visual mobile analytics’ unique features, such as user recordings or touch heatmaps, enable you to dive into users’ behavior, and provide insights on how to optimize the mobile UX for increased retention, conversions and in-app monetization.
Imagine a user is on your mcommerce app and would like a more detailed look at an item for sale. They click on that item, expecting it to maximize for a closer look and perhaps a bit more information, but nothing happens. Moments later, another attempt to see and learn more about the item by tapping on it, but the effort is wasted because the taps are unresponsive. Frustrated, and without any success in obtaining additional information, the user abandons the session without completing the in-app purchase. Now imagine this happens hundreds more times... each day.
The ability to see your app through your users' eyes and understand how and why it is used eliminates any questions and instead provides answers for exactly how you should be optimizing the UX in your app. In this case, it is making images clickable. In another case, it might be implementing a cleaner UI or offering a clearer onboarding experience. Ultimately, these insights will keep users coming back to your app.