Use Of Mobile Analytics To Optimize Mobile App

By Author: Tomwade
Total Articles: 34
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Industry statistics indicate that smart phones and tablets now account for the majority of the global internet traffic. Organizations are able to reach consumers more than ever through mobile websites and applications. For an application failure, majority of the customers hold the mobile app responsible, not the device or the back end. Hence, it is very important to ensure optimal performance of a mobile application.

All users expect mobile apps to work seamlessly regardless of their choice of technology. The whole point of optimizing mobile applications places users at the core of our strategies. User experience is how users think, receive and feel. There are various attributes of user experience and they are intimacy, immediacy and privacy as key factors. A good quality software may not be enough to provide a brilliant user experience. However, poor quality adversely affects the application.

The most practical considerations of optimizing App Testing can be summarized as follows:

1. Improve the mobile testing beyond the ‘shift left’ recommendations

2. Leverage the mobile analytics to ...
... increase user experience and the work quality.

3. Move from the traditional testing into the design, analysis and application of data generated by mobile apps.

4. Keep testing focused on user experience and business success.

5. Reduce irrelevant practices and prioritize development and testing efforts.

Testing mobile apps helps the team to find out flaws and problems and get them addressed rather than letting the users to find them. In testing mobile apps, much of the testing done is wasted effort. Automation simply helps us to run tests faster, but this does not necessarily imply that testing is of any better quality.
Certain features when discontinued by organizations, leads to loss of existing customers. By focusing on mobile analytics, and understanding user interaction with the different features, better quality app can be generated for the customers.

Each review leaves some sort of clues about a problem in the app. By paying attention to the ratings and reviews of the applications, bugs can be found and fixed before it affects the user base. Sometimes users leave a detailed technical description of the bugs they came across while using the app. They also suggest some additional features that they have been looking for. Giving importance to them and working to solve them and finally updating a reply to their feedback and reviews can further enhance the application and make it more usable.
Conclusion

Mobile Analytics is one of the several different places which can be used to improve the quality of the app. Most often companies who are trying to test applications do it on a limited number of devices. Leaving out certain devices may generate cases where the application may be exhibiting very poor behavior. Mobile analytics help to understand the effects of the software running on a variety of technical infrastructure. Discovering how the app behaves virtually across all population and understanding its real usage an bring realism to the testing efforts.