Data analysis and comparison of campus Web site data analysis

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall

Today we talk about the campus website data analysis. This article is based on the data on a campus resource website that I am running. Previously wrote a "Talk about the campus BT Resource station operation and Promotion: Operating Chapter" article. Before writing this kind of website promotion method, first comes this data analysis. The user data analysis of the website is a kind of understanding of the situation of the website webmaster. Please listen to the author one by one elaboration:

First, find out what valid data is

Campus network data also have some other characteristics. For example: The campus network is a LAN, for the outside world, this LAN may have only one IP or a-several IP segments, and the local area network users are generally fixed IP, of course, is relative to the local area network fixed IP. That is to say, the local area network users visit the site, in the statistics, the number of IP is usually fixed a few, very few, and the actual number of visitors should see independent visitor number.

What is an independent visitor? The author gives an example, for example, a local area network is the same IP, but there are 100 people at the same time access, then this time, independent visitors to 100, the only IP is only 1. On the specific Baidu search it. The author's website is oriented to the university with only 4 IP addresses, so the number of IP in the daily statistics is so few. But independent visitors are different.

Secondly, analyze the data of the visited page

The visited page refers to the page being accessed and the most intuitive display of users browsing through a page. which are hot pages and which are unpopular pages can be seen from this data. Like the author responsible for the BT station, the most popular in addition to the home page, is the film channel pages, again is the comprehensive arts channel page, again is the TV drama channel page. Getting the data will also give the publishing Group a clearer job of publishing.

Third, analyze the visiting domain name

Campus network target users are students on campus, at present, most university campuses have a number of forums for school students of the site, the new station propaganda unavoidable to these old stand up to do. So, analyze the data of visiting domain name can see which website do propaganda effect will be better, careful point of words, also can figure out the traffic situation of each other's station.

In addition to the site, by sending a group of mail to promote, the antecedents can also be displayed, so that you can see which groups are more promotional value.

So what about other data that doesn't have any antecedents? This can be viewed directly by entering the domain name of the statistics, if the promotional time and statistical time to make a detailed plan, through statistical tools can also be compared to what kind of promotional means better.

Four, cycle data comparison

Often do data comparisons, can sum up the pros and cons of various promotional means, can understand those days, which time period is more suitable for promotion, so as to find the most suitable for the promotion of the means and promotional time. So, every week should do a small summary, every one months should make a big summary, avoid too many detours.

Finally, other data analysis

In addition to the IP traffic data, do BT station friends to count the number of downloads and browsing times, these are also very important. Do BT station, in addition to someone to see, but also someone to download, so that the site is valuable, this point, the general BT software have ready-made parameters.

The author also useful statistics before the tool, at that time also counted a page of the click, the mouse hotspot, also helped a lot. Unfortunately, the statistics are now resting.

The current statistical tools used by the author for the CNZZ statistical tools, do a good job of the site's access data is very important, the analysis is well, you can see many problems, pay more attention to some details, you can make your website develop better.

This article starts from the Lin Changfen in the website Promotion Study blog (http://www.linzhangfeng.com), reprint please reserve the source