Analysis of Web site optimization strategy based on user behavior

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With the continuous upgrading of Baidu algorithm, Baidu constantly optimize its own guide, began to gradually and user experience close, this explains the current Web site optimization began to enter a new stage, it is to be based on user behavior optimization, which can play a multiplier effect of optimization. Because Baidu proposed optimization strategy is in order to let oneself better crawl content, and for the vast number of users to provide services, and we carry out Baidu optimization Its purpose is also for the vast number of user services, the alternative and detonate, so this gives the site based on user behavior optimization provided possible.

So how to analyze user behavior, and accordingly targeted website optimization? I think it can be done from the following aspects, can play a very good effect.

First, analyze the website related data change optimization strategy. Analysis of user behavior is actually the site's data for innovative analysis, to better refine the site optimization. For example, by analyzing the site's bounce rate, you can know that users browsing the site, the site page does not attract users, then the problem in the Baidu search Results landing page, then the Optimization landing page becomes the key. So through this can reflect the user behavior of the data analysis, you can find the focus of optimization direction, so as to enhance the site optimization effect.

Not only that, but once you've optimized the landing page for the site, access to the site through other channels will also increase the attractiveness of users, such as increasing the quality of content, optimize the function of the site, can be very good for users to stay on the site, when the site jump rate down, often is also Baidu to increase the weight of your site, So can be in the optimization of a multiplier effect.

Second, interact with users to understand the needs of users. Website optimization is not a relatively closed process, but an interactive process, only through interaction can fully understand user behavior, and then targeted to improve our website. So when you optimize your Web site, should be set up a QQ group, or to build a forum subsite, so that the majority of users to the forum to express their views, and even posted on the site to catch insects, for the user put forward good suggestions to give certain rewards, so that users can help us find problems, And the user from their own perspective analysis, obviously than stationmaster station in the user angle analysis more accurate, so can achieve the website to do more accurate optimization.

Third, the analysis industry high-end web site to meet user details. Every industry will have a very good site, with a lot of fans and users, then analysis of these site user behavior trajectory, can let us fully understand what users like what kind of content, what kind of structure of the site, access to the industry's hot demand, so as to help optimize their website, Or find a way to cut into these high-end web site flaws, to cut into the market segments, and thus build their own customer base, which is also critical to optimize the site.

In a word, Web site optimization based on user behavior analysis can effectively improve the optimization effect, perhaps from some aspects do not meet the relevant rules of Baidu Optimization guide, but according to Baidu to meet the needs of users, this optimization strategy will always bring a positive impact on the site, because when your site users stay long, jump rate is low, and have a large number of customer base, then will certainly be able to obtain the favor of Baidu, after all, Baidu is also the need to provide users with high-quality Web site. This paper comes from the zero-degree software Park http://www.05sun.com/, reproduced please keep the author link, thank you.