What is the PV value of a website?

IP/PV traffic is about 600/2400
Simply put, an IP address indicates that 600 IP addresses have visited your website on the same day, and PV indicates that someone has watched the site many times in these computers!

PV, pageview, that is, page views or clicks. It is usually the main indicator to measure the quality of a news channel, site, or even a news article. Of course, sometimes, we will also examine another indicator, UV, or unique visitors, that is, the number of people who visit a site or click on different IP addresses of a news article.

PV has become the most important measure for investors to measure the performance of commercial websites to a certain extent. In the long run, many websites also realize that PV needs to be combined with brand building. However, modern business behavior is under the pressure of investors' quick success and quick success, we often have no choice but to make PV data good.

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 general criterion for 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:

The time when the news was published. 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.

The access period. 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 factor may not affect Jia luyuan's visit & #472; Yu Zhizhi & #9347; huang times Wei? V is in the performance, but it is certain that any PV data also plays a role in the return visit period.

Hitchhiking factor. 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 do I need to think about :-)

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, the 600 IP addresses were first visited for 2400 times # Others