Convert More Visitors to Customers with A B Split Testing
Among the many tools used by businesses to gauge the effectiveness of their website, A B split testing is one of the most valuable and scientific ones. When applied correctly, it generates accurate results that can be used to great advantage by website owners and online advertisers. A B testing helps analyze different elements of the website and evaluates the contribution of each to the overall conversion rate. There are two key factors in this kind of testing:
- Both elements/ designs are tested simultaneously
- Both are tested with similar/ same audience
How is it Carried Out?
To carry out A B testing on your site you need to compare your existing design or element (called the ‘control’) with the new one to see which one performs better in terms of generating desired outcomes. To enable comparison, you should divert the traffic that comes to your site evenly between the two designs being tested. Depending on what the desired outcome for your website is, you assess the effectiveness of both designs based on the results of the test. Then you adopt the better, more effective design or element, increasing the visitor–to–customer conversion rate.
For example, if your website offers a software download, you should test its effectiveness by the number of downloads that have taken place during a given time. If two different website designs are being tested, then the one that has encouraged more downloads is the better design. Similarly, you can gauge effectiveness by assessing the number of people completing a purchase, filling a response form, taking a quiz or giving feedback etc, depending on what the primary objective of your website is.
Improve Conversion Rates
A B split testing helps you understand what kind of design or elements on the webpage attract potential customers. By identifying aspects that work, you can make the necessary tweaks to offer the information or components that customers tend to look at the most.
Imagine that you are an online advertiser and the primary objective of your fashion clothing store’s advertisement is to draw potential customers back to your site. For this advertisement, you want to test if a prominently placed ‘click here for 70% discount’ button works better than a simple text implying the same thing. A B testing tells you which version works more effectively in drawing the most number of customers to your site. You can implement changes in your advertisement accordingly so that it fulfills its primary objectives in a better way.
To improve the effectiveness of your webpages and convert more visitors to customers with a proven A B split testing method, call Wolf21 today.
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