Bounce rate is actually the rate of those people who visits your site from your entry page and leaves the website without checking the other pages of the website. Usually this happens when a customer opens the site and then closes the tab or window, when a customer typed a new website, when a customer clicks on the back button and if the session has timed out. Of course a company would always want to get a lower bounce rate since this would just indicate that a customer is really engaged on your web site. They try to check many pages within your site and that would mean that they are interested on your product which would result in a sale. So how does one improve the bounce rate? This one should rely more on the content that you put on your entry page. You should present relevant links on your pages so that you can get the action that you wanted from your visitors. You should optimize the web pages and connect them with each other so that you can engage your customers to the information that you want them to check. If you want to lower your bounce rate you can actually get a test group that would enter your website. Then ask them about their experiences. This would then be your basis on how you can improve your website. You can also make sure that when a visitor comes in you can present him the action that you wanted him to do and then just add a link that would explain things in details.
It is expensive to build, manage, and maintain a website. The costs of investment will almost double if numerous commercial websites are being maintained by companies with several landing pages linked to pay per click campaigns. That is why there are economic factors that must be considered when adding another layer of investment such as web analytics tool. There are free web analytics tools that can be used to track website performance and user onsite behavior. However, these free tools usually provide limited capabilities and are not suitable for companies with large web real estate. The free web analytics tools cannot accommodate large volume daily page visitors. It is advantageous therefore for companies to deploy a fully functional commercial web analytics tools. However, companies should weigh the economic factors associated with such deployment. The web analytics tool should be able to improve the business intelligence of companies in terms of analyzing the performance of their websites. In this way, they can get solid profit from their online ventures. By measuring the economic factors of web analytics, companies should determine the net value created by this application. For example, they must calculate the amount of conversions per visitors against the amount of investments poured into the website. If conversions have gone up while investments remain static, then this means that the website is earning for the company. Conversely, if the investments went higher than the amount of conversions, then there is certainly a big problem on website performance. In this case, companies should determine if their web analytics tool provides enough data to resolve the problem.