A/B Testing Basics Archives

12-06-2025

Ian Naylor

Building PageTest.AI: A Founder’s Journey

I’m one of the founders of PageTest.AI – the no-code, AI-powered site testing tool built for scrappy startups. A few months ago I was neck-deep in another project (3way.social, an AI backlink tool) when Google dropped a bombshell: Google Optimize was shutting down. Optimize had been “free, relatively easy to set up, and played nicely […]

01-06-2025

Becky Halls

Sample Size Calculator for Smarter Testing

Running an A/B test without a sample size calculator is like trying to bake a cake without knowing the recipe. You might get lucky, but chances are, things won’t rise the way you hoped. Whether you’re tweaking your landing page CTA or testing out headline variations, knowing how many users you need for a reliable […]

18-04-2025

Becky Halls

How to Launch Website AB Testing in 7 Minutes

What if we told you that just one simple test on your website could boost signups, sales, or engagement – without redesigning anything? Welcome to the world of website AB testing. If you’ve been avoiding it because it sounds technical, time-consuming, or reserved for data nerds in lab coats, you’re not alone. But the truth […]

16-04-2025

Becky Halls

The Google Optimize Tool is Gone… Now What?

The Google Optimize tool had one job – make A/B testing less scary. And for many marketers, UX folks, and SEO nerds, it did just that. It was free, relatively easy to set up, and played nicely with Google Analytics. Then Google pulled the plug. And just like that, a chunk of your website optimization […]

14-04-2025

Becky Halls

Google Optimize Alternatives: What to Use in 2025

RIP Google Optimize. You had a good run. You were simple, free, and gave us a taste of what A/B testing could be without annihilating our budgets. But as of September 2023, you’ve officially joined the Google Graveyard alongside Google+, Reader, and Inbox. So now what? If you’re one of the many marketers, SEOs, or […]

10-02-2025

Becky Halls

AB Testing for Websites Made Easy

Let’s be honest, making changes to your website based on gut instinct is a risky game. You might get lucky, or you might tank your conversions without even realising it. That’s where AB testing for websites comes in. It’s one of the smartest ways to figure out what actually works on your site; whether it’s […]

04-02-2025

Becky Halls

AB Testing Sample Size: Why It Matters and How to Calculate It

Introduction A/B testing is an essential tool for optimizing marketing campaigns, websites, and digital experiences. But to ensure your tests provide accurate, reliable results, you need to determine the right AB testing sample size. Too small, and your results may be skewed by randomness; too large, and you may be wasting valuable time and resources. […]

03-02-2025

Becky Halls

AB Testing Benefits for Business Growth

Introduction A/B testing is one of the most powerful tools for businesses looking to optimize their digital strategies. By systematically comparing different versions of a webpage, email, or ad campaign, A/B testing allows businesses to make data-driven decisions rather than relying on guesswork. But what are the AB testing benefits that make this method so […]

03-02-2025

Becky Halls

AB Testing Statistics: Understanding the Numbers

A/B testing is a fundamental tool for marketers and businesses looking to improve conversion rates, optimize user experience, and make data-driven decisions. However, without a solid grasp of AB testing statistics, interpreting results can lead to misleading conclusions. This guide will break down the essential statistical concepts behind A/B testing, key metrics to track, and […]

29-01-2025

Becky Halls

Understanding and Analysing AB Testing Results

A/B testing is one of the most effective ways to optimize websites, landing pages, and marketing campaigns. But running an A/B test is only half the battle—the real value lies in interpreting the AB testing results correctly and using them to make data-driven decisions. In this guide, we’ll break down the process of analyzing A/B […]