How Split Testing Tools Simplify the Task of Testing Complex Pages?
Internal links are the part of many websites today, especially e-commerce websites. Such pages are critical from sales point of view, as they take visitors to a different page where they can view the details of the product. So, a page can have hundreds and thousands of links and paths to navigate.
For an e-commerce company, it is difficult to manage and optimize such pages. Though there are various conventional analytics tools available from companies like Google and Adobe, but the task remains daunting. For example, tools like ‘Heatmap’ have limited functionalities and are not potent in handling overlays or fly-out menus.
Split testing tools ease the task of testing complex pages with a number of links. Using this tool, you can set click goals and get an analysis of the clicks from a visitor. This can help in generating more revenues, leads, and traffic. If you are good at setting up split test, it will tell you what works on your website and what needs to be worked on.
Split testing is quite similar to studying analytics data, as it allows you to collect more data. The collected data can be used for quantitative and comparative analysis. It also allows you to analyze user history that changes with time. In addition to the capabilities of directing traffic to different pages, split testing tools also have multiple other flexible tracking features.
Today, most of the things are managed by analysts. However, you can’t expect them to answer everything related to website and design. Moreover, at times it proves to be very expensive.
The tools used for split testing have great accuracy in checking paths and funnels. It also considers practical implementation while collecting data on visitors. Split testing tools make the funnel visible, which was not possible using the conventional analytics setup. This can prove to be helpful in cases where there is a multiple-step cart as in registration forms. In these cases URL remains same; hence, you can easily track the clicks by identifying unique elements. This ensures that the visitor entered the data after visiting the page.
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