Optimization
Interview with Abi Hough This interview with Abi is one to bookmark. Having spent 20 years in optimization, she offers in-depth insights into how it should be done scientifically, without bias or prejudice towards any particular idea. She explains the importance of having good quality data collection methods as...
A/B Testing
What’s worse than a failed test? Test data quality issues that make test results unreliable. But how can you stay away from bad data? Checking for Sample Ratio Mismatch (SRM) is a simple way to catch potential problems early. If something is fishy, then the sooner you find out,...
A/B Testing
A/B tests that don’t function properly don’t convert. An A/B test can burn through a significant amount of time, money, and resources for optimizers. And, of course, no one wants their hard work to go to waste. This is why you need to perform quality assurance (QA) on websites,...
A/B Testing
Is your A/B test taking too long to hit 95% statistical significance? Understanding stat sig (as the term is fondly called) and how the metric works can ease your pain. Right now, you’re probably losing patience and wondering Do I even need to hit 95? There’s a clear winner...
Shopify A/B Testing, Getting Started With A/B Testing
By default, the customer journey is littered with conversion blockers. For a Shopify store owner, these blockers are reasons visitors don’t buy. They risk wasting money in non-converting areas when investing in paid traffic. Of course, you’d want to find and eliminate any challenges to convert more visitors into...
A/B Testing
Hard truth: Outsourcing your A/B testing does not guarantee growth. We wish it were that simple. Even with world-class experts, the wrong expectations mixed with the wrong directions often lead to fruitless collaborations. On the flip side, there’s a smarter and much more productive way to collaborate with your...