Daniel is the Head of Content at Zero To Mastery, an online learning platform. He’s had articles in the top 10 of all time on Inbound and Growthhackers. Also the author of the book ‘Content Marketing For Traffic and Sales’. When not writing he teaches people how to write more effective content and then leverage it via detailed distribution methods at Amplify Content Academy.
If you’re running A/B tests in 2026, you’re part of a pretty exclusive club. Less than 0.2% of all websites even experiment at all. But among the sites that do test, the gap between going through the motions and compounding results is massive. We pulled together 30 stats on...
Shopify stores are bleeding money. They spend thousands driving traffic to sites that convert at 1-2% when simple testing could double that. Shopify A/B testing tools can fix this, but very few play well with Shopify’s ecosystem, respect your page speed, and make experimentation easier. This article shows you...
Does your testing program feel like it’s lacking structure or impact? Are you running tests with no plan of attack and unsure what to prioritize or where to work next? Perhaps you get lost trying to remember which tests you’ve tried before, what worked, and what failed? Or maybe...
Single page applications: What are they, how do they work, and, more importantly, how do we run A/B tests on them? In this guide, we’re going to break this down, as well as look at 10 of the best A/B testing platforms you can use. We’ll cover their pricing,...
If we break it down to its core concepts, CRO is less about conversions and more about understanding your audience and how they interact with your website. The more you understand them, what they want and how they act on your site, the better customer experience and offers you...
We can run the best tests in the world and have the most accurate data, but unless it’s acted on it becomes useless. Vital test results that could change the face of a company can sit ignored and lost in the noise or worse: debated against opinions, even when...
