Aug 01, 2022
In Design Forum
Conduct A/B testing Review your Google Analytics data to see if there are frequent patterns and trends in user behavior. These patterns can help you determine which website design components need to focus on. Your data will also help you devise hypotheses, resulting in contours for A/B testing purposes. A strong hypothesis consists of three key parts: proposed changes The ideal effect after renovation The logic behind the change Let's say you have a lot of potential customers who abandon their carts after entering your website's checkout process. After realizing this fact, you may want to Latest Mailing Database check if there are too many form fields that lead to a purchase. In this case, your assumptions might be: "Reducing the billing form fields will increase purchases by X% because the checkout process will be faster for our customers." Document each A/B test and measure progress. The more you do, the better your testing will be, and the better you can optimize your website for conversions. Document each A/B test and measure progress. The more you do, the better your testing will be, and the better you can optimize your website for conversions. You need to gather information and enter analysis mode . Make sure you measure the right metrics. Evaluate each metric and KPI individually and look at the big picture.