Data is information, which is a quantitative description of something from a certain angle. Data is everywhere and endless, but we don't collect data randomly and aimlessly. Any kind of data collection should start from the problems actually analyzed. For example, it is an event that I stop writing now and make a cup of tea. If I want to analyze the influence of tea-making times on writing efficiency, the data of tea-making events are meaningful. So, after I made this cup of tea, I added one to the event of making tea (not discussing the storage of data first). If I want to analyze the influence of tea-making time on writing efficiency, I will also record a specific time to get up and make tea. In this example, we can see a very important data collection principle, that is, from the beginning to the end! Specifically, it is to determine what data is needed according to the problem to be analyzed. This strategy will also be involved in the article that will discuss the data implementation method in detail later. Here, click not to expand in detail.
What is user behavior data?
The rise of the Internet has completely changed the way people communicate with each other. People living in the 2 1 century can open videos, buy products and read articles just by clicking the mouse and touching the touch screen. These websites and mobile applications are essentially a kind of media. From the perspective of information dissemination, they are not much different from traditional paper media and television. The only difference is that websites and mobile applications, two emerging Internet digital media, allow users to interact and help them do what websites and mobile applications want them to do, such as buying goods, reading articles and watching videos. What websites and mobile applications want users to accomplish is called "transformation" in the digital marketing industry. It is this unique difference that leads to a problem or demand, that is, websites and mobile applications need to think about how to design and optimize themselves, give users a better experience and help users complete the transformation, thus improving the efficiency of user interaction and increasing the conversion rate. In order to discuss and solve these problems, the value of user behavior data has been valued by designers of websites and mobile applications.