A/B Testing
Imagine we gave a classroom of students an essay topic and asked them to explore it however they chose. How diverse would we expect the finished essays to be? Pretty diverse, right? What if we instead gave the class a sample essay about the same topic and asked them...
A/B Testing
One of the ways businesses hurt themselves most in the analytics department is by only setting up one type of goal. And I know exactly what type they already set up without even looking at it. Bottom of funnel goals. When done right, top and middle funnel goals are...
A/B Testing
When done right, a website survey can be one of the most powerful ways to understand the intent of users on a website. But why are they hardly ever used? And when they are, they are usually executed poorly. (Think NPS surveys where you care more about using the...
A/B Testing
A/B tests are the gold standard of evidence-based decision making for marketers, product managers, and all other business functions. Finding a platform that can help you run controlled experiments, however, isn’t so straightforward. While there are many tools available, it can be confusing to find the right platform for...
A/B Testing
We all want to make good data-driven decisions from our experiments. After all, that’s why we run experiments in the first place. But how many of us actually feel confident navigating the complexities of p-values and standard deviations to make truly well-informed and confident choices from our test results?...
A/B Testing
Sharp, conclusive results you can trust, or diluted results that take too long to reach statistical significance? That’s the two-sided coin of thinking consciously about targeting and triggering in A/B testing vs not doing that. Targeting defines who is included in the experiment, and triggering decides when the variation...