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**Traffic, Alexa Ranking] These two factors are the most clockly, the largest error, among which Alexa Ranking because of its uneven sample distribution, easy to make and other characteristics, and **real traffic often has a large error, but the overall traffic is also to a certain extent indicative of the popularity of **, so the sum of this type of user behavior is also affecting the ranking.
Viscosity: According to some indicators of viscosity, such as pop-up rate, visit time, number of pages visited, etc., but these can also be recorded by the toolbar. When the pop-up rate is lower, the longer the user stays, and the more pages visited, it can be said that the user experience is good, so the user's behavior reflects the user experience, so it is also associated with the ranking clock of the user.
When the brand name of a business is searched by multiple users or multiple searches, the brand may be the official website that the user wants to find, and the ranking will be improved accordingly. Of course, sometimes we may see that the brand name does not have the optimized vocabulary in the keyword setting, but the optimization ranking is still very good, which shows that user behavior has a certain impact on the ranking.
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User behavior that affects rankings:
1. The length of time the user stays on your **, relatively speaking, the longer the stay, the more beneficial it is to the ranking of **, on the contrary, we should consider whether there is a problem with our ** opening speed, page design, web page structure, copywriting, etc.
2. After the user searches through the search engine, so many **will choose you**, and then click in, it depends on whether your **title, keywords and descriptions are attractive.
3. How many pages have users browsed on you, and the more you browse, the more favorable the ranking.
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Internet user behavior analysis is all the operations of visitors after entering, and analyzing user behavior is conducive to meeting user needs and improving trust.
The key analysis data of Internet user behavior analysis are:
The user's stay time, bounce rate, return visitors, new visitors, number of return visits, and the number of days between return visits;
Registered and non-registered users, analysing browsing habits between the two;
User access process, which is used to analyze whether the page structure design is reasonable;
Users' web heat map distribution data and web coverage map data on the page; the number of visits by users in different time periods, etc.
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