Checklists for an A/B Testing Tool for Higher Conversions (Part 1)
It is important to have an engaging web design for grabbing maximum conversions and sales in an online business scenario. When it comes to the task of web design optimization, nothing can compare the efficiency and effectiveness of an A/B testing tool for more than one reason. They are most trustworthy in terms of getting measurable business results and flawless implementation of site changes without affecting the overall revenue chances. Apart from this, these tools does not affect the customer engagement in any way due to the implementation of big or small changes. However, there are certain guidelines that needs to be followed while implementing website changes through an A/B testing tool. Ignoring these checkpoints would prove to be disastrous for any website in terms of customer engagement, product sales and conversion rates. Let us discuss about them one by one. Choose the goal of your testing experiments- Before you are about to begin your A/B test experiments, it is important to first select the goal for which you are implementing your tests. You need to analyze the various key performance indicators (KPIs) that are essential for the growth of your website like site traffic, conversion rates, number of clicks, product purchase and other factors and then go for the creation of A/B testing experiments to reach your business goals. With this clear idea, it will be much easier to improve the performance of your A/B testing tool. Go for one variable at a time- It is rightly said “Too many cooks spoil the broth”, which is actually true in case of A/B testing also. If you are a beginner in the field of A/B testing, it makes even more sense to select one variable only for A/B testing experiments. This step will also help in the clear insight about the successful implementation of A/B testing results. For the proper analysis of your testing results, you need to A/B test a single element and implement the testing results on your site. With the use of a single site variable, it will be much easier to infer the impact of that variable on the conversion rates of your website. Set up the “control” and “challenger” page for your site- During the implementation of an A/B test, it is essential to have a clear distinction between the “control” and “challenger” page of your site. The original web page or the page without any changes will be the control page and the web pages with the implemented changes will be the challenger page. You need to decide the control and challenger page based on the hypothesis of your A/B testing experiments. It will further help in optimizing the usability of your A/B testing tool.
These are some of the simple tips that needs to be analyzed for grabbing maximum benefit out of your A/B testing tool. With the proper introspection of A/B testing guidelines, it will be a better utilization of your testing time, money and efforts. Stay tuned to our MockingFish site for more updates about A/B testing and for the next part of this blog.