Web analytics refers to the measurement, reporting and analysis of visitor and web data with the goal of improving web usage. When you collect such data, you find that there is a lot of data that is available for any site. In such a scenario, it is easy to find yourself lost in the huge data generated by the site. Here we bring you some tips that will improve your web analytics skills, and allow you to use your data to improve your web usage.
The first thing you need to observe in the data, or one of the first, are the activities of your visitors. You should be aware of the bounce rate of your site, which is the percentage of users who came to some page of your site, but then left without visiting some other page. A related metric is the exit percentage, which is the percentage of users who exited on a page, but who could have been visiting some other pages on the site. Another important metric in the web analytics data is the visitor location. This should allow you to judge whether you need to publish your content in any other site. For example, if you find that a lot of your visitors are from Germany, you may want to capitalize on that by presenting your content in German too.
Another significant metric in your web analytics data is the type of web browsers used by your users. You can check the web browser as well as the version number of the browser, the operating system, the screen resolution, and the flash or Java version installed on the client’s machine. By looking at the most common resolution, you can verify that your site is presented well in that resolution. Another way this data can be useful is by telling you whether everyone can see your site well. If you find that the bounce rate of the people with Firefox is too high, that may mean that there is some bug in the layout of your site, which is seen only by the users of the Firefox browser.