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Mouse data is a subcategory of interaction data, a broad family of data about users generated as the immediate result of human interaction with computers. Its siblings from the same data family include logs of key presses or page visits. Businesses commonly rely on interaction data, including the mouse, to gather insights about their target audience. Unlike data that you could obtain more explicitly, let’s say via a survey, the advantage of interaction data is that it describes the actual behavior of actual people.
Collecting interaction data is completely unobtrusive since it can be obtained even as users go about their daily lives as usual, meaning it is a quantitative data source that scales very well. Once you start collecting it continuously as part of regular operation, you do not even need to do anything, and you’ll still have fresh, up-to-date data about users at your fingertips — potentially from your entire user base, without them even needing to know about it. Having data on specific users means that you can cater to their needs more accurately.
Of course, mouse data has its limitations. It simply cannot be obtained from people using touchscreens or those who rely on assistive tech. But if anything, that should not discourage us from using mouse data. It just illustrates that we should look for alternative methods that cater to the different ways that people interact with software. Among these, the mouse just happens to be very common.