Reading Time: 8 minutes What is A/B Testing? Definition: A/B Testing lets you compare the conversion rates of two versions of a page by showing half your visitors the current version of your site (the ‘Control’) and the other half the modified page (the ‘Treatment’). By comparing which version got more signups, sales or any other metric, you can determine […]

Reading Time: 8 minutes We get lots of different questions from people who are interested in A/B testing, but there’s one question we hear more than any other: “Can I do A/B testing with under 100,000 visitors a month?” A surprising number of optimisation projects end up being useless and AB testing sample size is often the reason. This article will show […]

Reading Time: 10 minutes Once you have decided to optimize your conversion rate, choosing the right method is the next step. There are three main options: Hiring a CRO Agency Performing CRO without A/B testing (Price Optimization, CRO Apps or Neuromarketing) Purchasing your own A/B testing software All three options provide an effective way to optimize your site. However, learning […]

Reading Time: 12 minutes So, you’ve decided to use an A/B testing tool to optimise your website – how do you know which one is best for you? Our CRO Experts reviewed 24 of the most popular A/B testing tools to help you pick the best one for your business. There are now 24 major A/B testing tools on the market (not to […]

Reading Time: 10 minutes Knowing how to do A/B testing can save you a lot of time and money. A/B tests compare two versions of a single webpage: “A” and “B”, showing you which version gets the most clicks, sales and sign-ups. By following some simple rules, and avoiding the most common mistakes, you can optimise your site with certainty. A/B […]

Reading Time: 10 minutes When Optimizely removed its free A/B testing plan, thousands of businesses began searching for an Optimizely alternative. Three years on, we ask whether the so-called “death of A/B testing” really occurred, and what the best Optimizely alternatives are in . To understand why the changes introduced by Optimizely in 2018 were so significant, you have to understand when […]

Reading Time: 13 minutes An AB test helps you find out which version of a webpage is best. If your goal is to convert browsers into buyers, A/B testing will show you which page earns more sales. However, before you overhaul your website, it’s worth checking that your results are reliable. That’s why AB testing statistics are an essential part of website optimisation. […]

Reading Time: 4 minutes Enter the data from your “A” and “B” pages into the AB test calculator to see if your results have reached statistical significance. Most AB testing experts use a significance level of 95%, which means that 19 times out of 20, your results will not be due to chance. Conversion Rate This is the number […]

Reading Time: 8 minutes Colour is an essential part of design, and it is not only developers who worry about it. No other question has captured the imagination of marketers like the best colour to use for a CTA or webpage. However, for eCommerce, attention has focused on the Add To Cart button. Experiments have shown how colours affect both heart […]

Reading Time: 5 minutes Getting started is always the hardest part, and A/B tests can be overwhelming. There are countless guides to A/B testing, but they often take for granted the most obvious questions: What should I test? Will it be worth it? Does A/B testing really work? This article answers those questions, and will help you to focus on […]

Reading Time: 8 minutes AB Tasty has announced the release of a new notification system for communicating Social Proof and Urgency to online customers: Nudge Engagement. At first, we were excited to see what our rivals had come up with. However, after reading the press release, we couldn’t help but notice that the system sounded strangely familiar. In fact, […]

Reading Time: 7 minutes On average, only 12.5% of A/B tests produce significant results. More worryingly, over half of first-time A/B test users say they are dissatisfied with the results of their tests. Finding the right hypotheses to test and getting reliable results is not easy. So, what are the most common A/B testing mistakes, and how do you […]