Questions about the concept of PV, UV, and IP addresses of website indicators

When ip: pvuv: pv1: 1, this indicates that each visitor only browses the page once. This may be because the visitor accidentally hits the page and then leaves, at this time, we should analyze the page quality. Ip: uv can tell whether the visitor is a personal pc or an Internet cafe room, and help the webmaster analyze the user base of the website.

Pv (page view, page views)

• The number of page views to measure the number of webpages accessed by website users;
• Each time a user opens a page, the page views are recorded once. if the user opens the same page multiple times, the page views are accumulated.

Uv (unique visitor, Independent visitor)

• Number of visitors to a site within one day (based on cookies );
• Only one visitor is allowed to access the same visitor multiple times within one day.

Ip (independent ip)

• The number of users who use different IP addresses to access the website within one day;
• No matter how many pages are accessed by the same IP address, the number of independent IP addresses is 1.

When ip: uv =, an ip address corresponds to a visitor, which indicates that visitors may access the website on some PCs or adsl users.

When ip: pv = uv: pv =, this indicates that each visitor only browses the page once. This may be because the visitor accidentally hits the page and then leaves, at this time, we should analyze the page quality. The statistical tool also provides the page stay time, which also reflects the page quality problem. The longer the stay time, it indicates that your website is worth browsing. at this time, visitors are very likely to become potential users.

To sum up, ip: uv can see whether visitors are personal PCs or Internet cafe data centers, and help webmasters analyze the user base of the website. uv: pv can see the quality of a website, the smaller the proportion, the better. in the initial stage of the website, when the traffic is low, the data may not be of great significance. However, when the website is promoted to a certain extent, they have very effective guiding significance. Ip: the direction in which the promotion of the website should be analyzed by uv: pv.

? I. What is the ip address greater than uv?

Generally, home computers use adsl dial-up Internet access, that is, dynamic ip addresses. each time an ip address is dial-up, the number of ip addresses increases by 1, but the real user is still a person, it is even possible for someone to dial up for 10 times a day. in this case, a user will generate 10 ip addresses, which may cause huge errors for data analysts.

II. what is uv greater than ip address?

If multiple users have one ip address, the uv will be greater than the ip address, which is good, that is, Internet cafes. generally, medium-sized Internet cafes are-too many computers. Nowadays, Internet cafes are more developed than in the past few years, it is not a shared dynamic ip address. it is a public leased line ip address (the leased line ip address is a static ip address and the ip address remains unchanged). For example, if a website has hundreds of users logging on to your website, if the number of ip addresses is 1, 100 actually visit your website, and customers in Internet cafes are mobile. that is to say, no matter how many people visit your website in this internet cafe, the number of ip addresses is counted as 1. However, uv is 100.

Although UV is more accurate than ip, there are still many technical personnel that cannot be improved.

1. it is also a user with multiple computers that affect uv

One user has multiple computers. Nowadays, Internet access is becoming more and more diversified. Internet cafes, PCs, and offices. if this person browses your website in three different environments, three different cookies will be generated, uv = 3 is actually a one-person browser, and now all network analysis solutions will record this as three different visitors. This is a problem that cannot be solved now.

2. the purchase duration affects uv

Generally, a visitor becomes a customer. if this period of time is relatively short, the statistical tool is capable of collecting statistics on the page browsing and behavior analysis of the other party for accurate data analysis.

However, visitors may have to take a long time or even half a year to consider valuable items before they can change from visitors to our customers. during this period, visitors may crash their systems at any time, delete cookies or purchase new computers. When is this user buying cookies? Will be considered? Treat new visitors, which leads to a huge error in our data analysis as new visitors.

This article is available at http://www.nowamagic.net/librarys/veda/detail/1592.