Knowledge about network Editing: What are PV, UV, and PR values?

1. What is PV?

PV (page view) is the page views or clicks. It is usually the main indicator used to measure an online news channel, a website, or even a piece of online news.

The explanation of PV is that a visitor looks at several pages of your website within 24 hours (. It should be emphasized that when one person browses the same page of your website, the PV volume is not calculated repeatedly, and the PV count is calculated once every 100 times. To put it bluntly, PV is a visitor who opens several of your pages.

PV has become the most important measure for investors to measure the performance of commercial websites to a certain extent.

PV calculation: When a visitor accesses the page, record the page he accesses and the corresponding IP address, and confirm that the IP address has not accessed the page today. If your website reaches and there are 0.6 million simple IP addresses, each visitor visits three pages on average, then there will be 1.8 million PV table records.

There is a tool Alexa that can view PV traffic and your website's world rankings at any time. Install it! Net editors must install this.

2. What is UV?

UV (unique visitor) refers to the number of people who visit a site or click different IP addresses of a news article.

Within the same day, UV records only visitors with independent IP addresses who enter the website for the first time, and does not count when they access the website again within the same day. Independent IP visitors provide statistical indicators for different audiences within a certain period of time, but do not reflect the comprehensive activities of the website.

3. What is a prvalue?

PR value, that is, PageRank, web page-level technology. From Larry Page, the founder of GoogleAlgorithmA part of the ranking formula is used to identify the level/importance of a webpage. The level ranges from 1 to 10, and the Level 10 is the full score. The higher the PR value, the more popular (more important) The web page is ).

For example, a website with a PR value of 1 indicates that the website is not very popular, while a PR value of 7 to 10 indicates that the website is very popular (or extremely important ).

We can say this: the more external links a website has, the higher its PR value. The higher the level of external link sites (if Macromedia's website is linked to your website ), the website's PR value is higher. For example, if ABC. COM has a XYZ. the link to the com website is ABC. com website must provide some good website content, So Google will. com as its link to ABC. com website

One vote.

You can download and install Google toolbar to check your website level (prvalue ).

Plain Summary: for online editing, whether your browser contains Alexa or Google is an important criterion for judging whether online editing understands the promotion. If you don't have one, start from today and install it now!

Take the Sina news channel as an example:

After a news item is published, its PV data can be tracked, usually every 5 minutes. Different Channels of websites of different brands have a rough rating on the PV performance of news published by them. After the news is published, the PV value is generally increased. The PV changes per unit time can be calculated based on the PV performance in different time periods. Experienced network editing, after several 5 minutes of data accumulation, we can roughly predict the peak PV level of the news. If this level is not satisfactory, the editor should take some measures, such as "optimization" title, or add other eye-catching elements and slices. In general, through such "processing", the PV performance of a piece of news can be improved to reach a new peak.

That is to say, the editing method of online news affects the PV value.

What other factors affect PV? There are at least these factors:

News release time

In different time periods, the number of people accessing the site varies, and the number of people accessing the site varies. Therefore, the main contribution of PV value fluctuations is the natural fluctuation of the number of people accessing the site during different time periods. For the same piece of news, PV performance will be different in different time periods.

The population characteristics (gender, age, education level, and reading intention) of people who access the Internet in different periods are different. Therefore, they are also 10 thousand online users, even for 10 thousand accesses to a website, the distribution of these 10 thousand accesses on different channels/content varies with time periods. So sometimes PV changes are related to the changes caused by this factor.

Access cycle

For some websites that are frequently browsed, we may visit the website several times in a day. There is a certain interval between them. This interval is often related to people's actual work pace. For example, when many people go to work, they will take time to browse the news. The second time they come back to see the news, they will usually take a break in the middle of the morning or even after lunch. Therefore, even if other factors remain unchanged, people may also have an impact on news or website PVS due to the periodicity of website visits. Of course, because different people have different return visit cycles and different time periods, this influence factor may not lead to significant fluctuations, but may be dispersed in the PV performance of different time periods, however, it is certain that any PV data,

It also plays a role in the return visit period.

Emergency factors.

For example, some emergencies may lead to an increase in access to a website, but the original intention of these visits is only news related to emergencies. However, news consumption is often unpredictable, so it is common that people will take a look at other things after reading the news they want to watch. This factor may also contribute to the PV of a news article (unrelated to emergencies.

Finally, there are some occasional factors (in fact, this is also the cause of hitchhiking ). What is included? Such as weather factors, such as waiting during SARS. What else? Think about it :-)

From this point of view, a simple PV data is actually the result of the combined contribution of multiple factors, so sometimes PV fluctuations can not be completely guided and influenced by editing means. Knowing this is important. This tells us that it is unreasonable to blindly analyze PV to determine the success or failure.

In social science research, the contribution of different factors to a specific phenomenon is called a detailed analysis model. A lot of things that we don't seem to change. In fact, the internal composition ratio has changed a lot. The relative relationship between seemingly changing things does not actually change. It is just a kind of quantitative fluctuation.

This reminds me of the statistical trap, a popular book written by a reporter. The English name of this book is literally translated as "how to lie with Statistics ".

The website says that the average daily IP/PV traffic is about 600/2400

The number of visits to the first business today is 2400, and the number of visits to the IP address is 600.

That is to say, these 600 IP addresses have visited the first business for 2400 times.