If you have ever created a landing page, you know that you simply don’t get the best possible ROI at day 1. You have to keep optimizing your webpage based on the responses until you reach the finest version of it. If you don’t test, you will never be 100% sure what design, call-to-action or copy is working for you. A/B testing or Multi-variant testing is a way to statistically evaluate what elements of a webpage are working for you. A/B test is an experiment where two or more variants of a webpage are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal.
Ideally, You should always test your headlines, ad copies, Ad designs, webpages and CTA. Most email tools have the inbuilt A/B testing feature available, which lets you test email subject lines and email copies. But as of now, we will be focusing on best A/B testing tools for webpages:
With split, multivariate, and mobile testing options, Optimizely is one of my favorite tools. Installing Optimizely on your website is remarkably simple with the WYSIWYG interface. With plans starting at $17 per month, Optimizely is a very cost-efficient entry point.
Visual Website Optimizer (VWO) is a full-featured testing suite that’s achieved tremendous popularity in the last two years. In VWO, You can track revenue, signups, clicks and other conversion goals and get real statistical data and results. Overall, it’s very similar to Optimizely but with a few key differences. VWO is priced at $49 per month.
Unbounce is known for their repository of landing pages. If you do not have the capacity to design landing page from scratch, Unbounce gives you a wide variety of templates which can be edited to fit your needs. A/B testing is an add-on feature which Unbounce provides along with the landing pages. Unbounce is priced at $99 per month.
Maxymiser is an Oracle tool which lets you quickly and easily create and launch tests. Based on the insights from tests you can automatically identify and remove poor performing variants from active campaigns and gain powerful insights which can be applied to segmentation, offers, recommendations, and personalization, making them more impactful and relevant.
Thank you for reading! Please comment below if you have any recommended tool for A/B testing.