User click data-based webpage analysis method

Abstract

The invention discloses a user click data-based webpage analysis method, which comprises the following steps: establishing a coordinate system on a webpage; collecting coordinates of user click data through Javascript technology; creating an ID for the content of the current webpage; when the content is changed, dynamically updating the current ID, and combining a coordinate of the click data with a corresponding ID number to form click data so as to adapt to a format of a background OLAP analysis structure, and sending the click data to a data collection server; storing the click data in a database, and further integrating the click data with associated data collected by the system; and finally forming a thermodynamic chart on the webpage through the rich media technology and displaying the thermodynamic chart to the user. The invention provides a feasible analysis method for dynamically changed webpages, has higher information feedback capacity, can provide more detailed analysis data for online analysts aiming at the webpages with different content, and provides further reference support for the optimization of the wepages.

Description

technical field [0001] The invention belongs to the field of Internet search engine optimization, and specifically relates to a web page analysis method based on user click data, which is used to capture Internet data highly related to enterprise business development and brand building, focus on the usage behavior of target consumers, and evaluate current various network Return on investment of marketing channels, and then guide enterprises to optimize website structure, content, links and user experience of target consumer groups, so as to bring greater return on investment. Background technique [0002] At present, many advanced web analysis tools, such as the SiteCatalyst tool produced by the famous Omniture company, and Google's Google Analytics tool, can make accurate analysis of huge visits, enabling enterprises to continuously track the effectiveness of online marketing campaigns: Whether it's an AdWords campaign, email campaign, or any other advertising program. Usi...

AI Technical Summary

Problems solved by technology

[0003] The above-mentioned web page analysis techniques are all based on link tracking, that is, by tracking the visitors of the entire website, the number and proportion of each link click can be displayed on the web page. The limitation of link tracking is The reason is that his feedback information is relatively insufficient to meet the various needs of Web analysts

For example, users visit your website, and many people are very interested in a certain picture on the page because the word "promotion" is written on it, but they click on it but find that there is no response after clicking, because the website The designer just put a static picture there, and did not set a link to the corresponding page. At this time, users may be disappointed, which will lead to a decrease in the final KPI conversion rate. The above-mentioned link tracking-based tools cannot tell you this information

For another example, two entry links are designed on a certain WEB page, one is a normal text link and the other is an image link, both clicks will enter the same registration page with the same link address, so it will be displayed in the above method based on link tracking The number of clicks on these two links is the same, you have no way of knowing which form of entry link the user prefers, and it is impossible to further optimize it

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