Mobile analytics studies how mobile users access the internet and websites, including statistical and behavioral information. It works similarly to web analytics, but with the advantage of more accurate location data. Some data comes from mobile apps, but there are limitations due to restrictions by mobile operating systems.
Mobile analytics is the study of how mobile users access the Internet and specific websites. This study may cover statistical information such as the number of people using a specific operating system or device. It can also encompass behavioral information such as how much time mobile users spend visiting a website compared to people using a desktop computer.
For the most part, mobile analytics work in the same way as web analytics. It involves tracking the activity of website visitors through website logs, which record all files accessed by a user and the time they were accessed. Analytics companies will provide services to individual websites to measure visitor behavior. The biggest analytics companies deal with thousands or even millions of customers and take advantage of this by aggregating data from all of their customers. This aggregated data is the source of most reports about particular mobile operating systems gaining or losing market share.
Compared to standard web analytics, mobile analytics have a specific advantage with location data. A log of visitors using desktop computers only provides the general location of each visitor, and depending on your Internet configuration, even that can be inaccurate. With some mobile user data, the user’s location can be detailed more accurately. This can help site owners better meet the needs of their users. For example, if a price comparison site is being heavily used in shopping malls, site owners might consider redesigning it to be quicker to access on the go, or even offer a filtering system that only delivers results for stores in a certain area. store. Mall.
Due to the success of mobile apps, not all mobile analytics data comes from websites. Some app developers collect data from their users. For example, they could collect statistics showing that men aged 18-34 spend the most time each day using a specific app. This would make in-app advertising particularly attractive for companies looking to target this market. There are limitations to this as the makers of some mobile operating systems restrict how app developers use this data.
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