Keys to Effective a/b Testing Image Masking

A/B testing is a process where we run an experiment to compare two pages to each other at a time. In this way, we can know which version gives the best results. Although in reality A/B tests can be applied to different content and Image Masking objectives, to simplify we will assume that we are comparing different web pages with each other to improve conversion. Typically, A/B testing compares an established version of the page with a new one, or two new pages that differ from each other by a single variable. In either case, it's important to set up your experiment Image Masking so that both versions of the page receive the same amount of traffic. Complement this article by watching the related video.

How to do an effective A/B test in 3 steps A/B tests do not perform miracles on their own, but must be part of a comprehensive process to improve conversion rates. Therefore, it is essential to have a structured plan to carry Image Masking them out. These 3 steps will guide you. 1) Measure the results of your website To get somewhere, you first need to know where you are. That's why any conversion optimization strategy must start with an assessment Image Masking of the current situation. To know if your website is performing well, the first thing you need to consider is what your business goals are and how they translate into metrics for your website.

For example, if we have an online flower shop, the goal may be to increase sales and conversions on the web. This can be Image Masking translated into a KPI of "bouquets sold in a month". When analyzing your results, it is essential to take into account the segmentation and not only the average data of the site. For example, it is possible that a landing page Image Masking is performing very well on Android mobile and very poorly on iPhone, which points to a design problem.