The conversion rate of website page needs to be analyzed deeply

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The statistical tools of the website, many people only stay in the IP, PV such data stage, these data is only the surface of things, only we pay attention to understand on the line, the real statistic analysis is the website page goal transformation aspect data. So how to analyze the conversion rate of the website page? I'll share some experience with you from the Lottery Program development website.

Google statistics is a lot of webmaster priority choice tools, because its function is very powerful, this is undeniable. But I will generally Google statistics and webmaster Baidu statistics two tools combined with the use to analyze the data. Here I mainly analyze the Baidu tool how to analyze the page conversion rate.

1, the definition of page transformation

page conversion for different types of Web site definition is different, if it is like I do Lottery program development products station, then a visitor to complete a purchase is a transformation; if it is a forum or other type of site, then the conversion refers to the number of successful visitors registered.

Baidu statistics page conversion setting parameters mainly have the following points:

(1) Number of visits: Visitors to the conversion page, if within a number of visits (session,30 minutes) to the page generated multiple access (Refresh page, etc.), only record one transformation. Avoid the conversion page refresh caused by the virtual high number of conversions.

(2) View Volume PV: When visitors visit the transformation page, it is recorded as transformation. Refresh accounting for multiple conversions.

(3) Order conversion: is to use the order parameters (usually ID) to calculate the number of conversions, one day in the same visitor access to the same ID multiple times are only recorded as a transformation, access to different ID records different times transformation.

In this way, if the above 3-record method is used to calculate the conversion is:

(1) According to the number of visits statistics: 2 times conversion;

(2) According to the amount of PV statistics: 3 times conversion;

(3) According to order conversion statistics: 1 times conversion.

2, page Transformation data analysis

(1) CTR Analysis

May be many webmaster will have questions, like some enterprises marketing station, just provide a product marketing platform, customer inquiries generally through QQ or telephone contact, then such a website data conversion how to statistics. In fact, my lottery program development site is such a situation, the general telephone conversion data can not detect, but QQ consulting to improve the click is to count how many users click QQ.

Of course, like this lottery program development www.88856856.cn Marketing Station, there is no direct conversion statistics, we also want to analyze such data. I mainly from the various pages of the click, the first page of the various modules of the click rate to analyze which part is the user likes to point, for the user clicks the module carries on the analysis, enhances its click-through, clicks High, from the indirect can release transforms, clicks the place, its transformation relative will be relatively high.

(2) Bounce rate Analysis

To the Enterprise Marketing product station, the bounce rate is a very important data, the bounce rate is high, the content is not attractive to the user, then the transformation will also drop. In doing lottery program development site Jump Rate analysis, I can understand which page to the user experience is not high, thereby enhancing the quality of the page content. Bounce rate from the side can reflect the transformation, a site jumped high, his conversion is not high.

The in-depth study of page transformation can improve the transformation of the website. This is not absolute, but it is a great help to improve the conversion rate. Like marketing stations, from the click-through rate, the site jumped out of such data will not directly reflect the conversion rate, but indirectly there is an absolute impact. Do not ignore the Webmaster tool data, some data on the transformation of the site is still very large.