Data driven optimization of mobile application product design and operation

With smartphones now on the move, Android has become an arcade, and the iphone is becoming more popular, a sign of the advent of the mobile internet era. As a result, developers, internet companies are scrambling to get involved in the development of mobile applications. Market competition intensifies, how to seize business opportunities in the competition has become the most concern of developers. Developers who rely on experience only to focus on the number of start-up, retention rates can only be known, but can not know why, so it is difficult to find the app's product design and operation of further optimization of the foothold. The author learned that Cnzz Mobile statistics (http://mobile.cnzz.com) provides a functional analysis of developers to optimize product design and operation of the program is very helpful. Through the page analysis, the developer can deeply understand the app each page the startup times, the jump direction, the user stays the time and so on; Through the custom event analysis, the developer can well understand the application some key function is clicked and the client's response speed. Below, the author describes this function in detail, hoping to help developers. Page Analysis page analysis can help developers understand which page users are browsing the most, the longest stay, the most common users from which page, and jump to the page. Figure I: page function analysis as shown in Figure one, app each page by the user clicks the number of times, the average length of use are at a glance. When viewing data, you can click on the table header to sort. It is convenient for developers to analyze whether the user clicks and the length of the use of the order is consistent with the psychological expectations, if not, the user experience may be problematic, developers can further improve the product. Functional analysis can also analyze which page is most popular with users, you can do more in these pages to promote information, to achieve precision marketing. The page bounce rate is another important indicator of the app's in-depth analysis, which can be used to assess the user experience of the Application and guide page improvements. Figure II: Bounce Rate and jump page as shown in Figure II, Buymore jump rate is the highest, 26.89%, which means that users often end from this page to use, it is necessary for this page to optimize, reduce the bounce rate. As you can see from figure II, click the bounce rate, you can also see the user from this page to jump to which page, this data can help developers to analyze whether the path out of the developer's desired path, when the actual path is not as expected, developers need to analyze the original design idea is consistent with the public's thinking. Event analysis while other mobile statistics tools also provide analysis of custom events, the CNZZ Mobile statistics (http://mobile.cnzz.com) event analysis uniquely divides custom events into trigger events and persistent events. The trigger event is the equivalent of a custom event provided by other mobile statistics, and it can help developers record how many times an event has been triggered. A more distinctive feature is the persistent event, which is useful for statistics on the number of functional uses and the average time duration of each use. FigureThree: Duration analysis For example, a user uploads a picture, the developer can clearly know from the Click Upload key to complete upload, the whole process takes a long time, through the analysis of the time to complete this action, the developer can determine the actual user experience and the original design of the expected time is consistent, if there is a greater difference It is necessary to further analyze whether there have been some unexpected problems, development and design defects. This is essential to the direction of operations and products. This data can help developers to more effectively drive product optimization and refinement of operations. The depth of data analysis determines the quality of products and operations, so that data guidance products and operations, to make products more optimized, more sophisticated operation, advertising more accurate, you can avoid unnecessary advertising funds wasted, for developers in the fierce market to win the opportunity!