The website data analysis is the premise which directs the website development direction

Absrtact: For running a website, must know to analyze the website statistic data, because the website statistic function is not only convenient you to see how many visitors you have come so simple, at the same time the website statistic data also can untie many questions for me. The following author from

For the operation of a Web site, you must know to analyze the site statistics, because the site statistics is not only convenient for you to see how many visitors you come so simple, and the site statistics can also solve a lot of questions for me. The following author from the Cnzz 7 aspects of the use of statistical tools to guide the operation of the website, for example.

1. Flow source

Data from the graph shows that the main flow of the site from the external links, indicating that a variety of promotional marketing means or have a certain effect, and direct access to bring the flow is not ideal, indicating that its user loyalty is lower, need to continue to strengthen. The search engine traffic is mainly based on content, and from the station data, its content is still relatively deficient, need to strengthen optimization.

2. Web site access Period

From the above figure observation found that we can analyze the user at 9 o'clock in the morning-11, 14 o'clock in the afternoon-17 points, these two time period is more active, then can be promoted according to this, because the more active visitors, the promotion will be more vomit effect. Similarly, when doing bidding promotion, it can also be used as a reference.

3. Search Engine Analysis

There are statistical data can be found, each search engine over the amount of traffic, and from the site data, the site's main visitors from Baidu, unexpectedly so, the station more need to strengthen Baidu optimization, more to cater to Baidu.

4. Search terms

By looking at the search terms, we can look at the user's main words to the site, which can be based on the long tail keyword mining. At the same time we can find that the user is through some of the words we do not think to visit the site, through these words I can also be used to study the user's search habits an important reference factor.

5. Length of visit and bounce rate

Through to the visitor's page stays the time length and the bounce rate, we can analyze the user's demand point, thus analyzes which final page, which is the excessive page. So we can be based on this to optimize the page, as well as analyze which columns should be placed on the homepage and so on.

6. Browser Access ratio

This data usually tells us how to design the Web page, from the figure can be seen in the browser 360 and IE users a large proportion. Therefore, in our design or revision of the site page, we need to focus on the requirements of IE and 360 users, while ensuring that the Web page in IE and 360 compatibility.

7. Customer Loyalty

Through the user depth and the rate of the data, we can probably see a site's user loyalty, and for how to optimize it, I think the need to combine the user access page and average stay time jinxi analysis and optimization.

Finally, whether the site's operations or optimization, must be based on the site data as a direction, so, want to build a website must know how to analyze the site data.