Previously, I introduced the "basic definitions of basic metrics such as PV, UV, and Visit" and the "issues to be aware of with the average website stay time metric." In fact, all these metrics and analyses are based on the premise of accurate data recording. However, we all know that different usage environments and users' varied behaviors make absolute correct recording absolutely impossible. Therefore, it is necessary for us to understand the factors that can affect the statistics of these metrics before using this data for analysis. Below, taking Google Analytics as an example, I will introduce several main influencing factors.