What is a mobile analyst?
Mobile Analytics is a study of the way mobile users approach the Internet and a specific website. This study can cover statistical information such as the number of people using a specific operating system or handset. It can also cover behavior information, such as how long mobile users spend a visit to the site compared to people using a desktop computer.
For the most part, mobile analysts works in the same way as web analytics. It includes tracking the website's activities through websites that records each file accessible by the user and the time they approached it. Analytical companies will provide services to individual websites to measure visitors' behavior. The largest analytical companies are engaged in thousands or even millions of customers and use data aggregation from all their customers. These aggregated data are the source of most reports on specific mobile operating systems obtainingh or loss of market share.
Compared to standard web analytics, Mobile Analytics has a specific advantage with location data. Visitors' protocols using desktops provide only the general location of each visitor and depending on its internet settings, this may also be inaccurate. For some mobile user data, the user's location may be more detail in more detail. This can help the site owners better meet the needs of users. For example, if the shopping centers are used a lot of prices comparison, site owners can consider reworking as a faster access to movement, or even offer a filter system that offers only results for shops in a particular store.
Due to the success of mobile applications, not all mobile analytical data come from the website. Some application developers collect data from their users. For example, they could gather statistics that show that men aged 18-34 are spending the most time kaday with specific app. As a result, advertising in the application would be particularly attractive to companies that want to focus on this market. There are restrictions because manufacturers of some mobile operating systems reduce how applications developers use such data.