A/B Testing
The “messy middle” of A/B testing—when hypotheses have to be given a form so they go live as a treatment or intervention—demands a blend of data-driven insight and creative problem-solving. You may recall our exploration of triangulation: combining quantitative, qualitative, and visual data to uncover what users do and...
A/B Testing
Update: This guide includes the latest available pricing information as of July 2024. Done with clicking through demo requests and contact forms to get to actual A/B testing tool prices? Transparent pricing in this industry is frustratingly hard to come by. That’s why we’ve compiled this guide to help...
A/B Testing
A/B testing has rightfully earned its place as the gold standard for validating ideas and driving optimization. Nothing is more trustworthy (well, meta-analyses of trustworthy experiments are right up there) than adequately powered A/B tests, run from a balanced backlog, and rigorously checked for perverse incentives. But what happens...
A/B Testing
As an optimizer, you know that numbers don’t lie. But you also know that without the right context, even the most impressive metrics can lead you astray. Quantitative data, for all its precision and objectivity, only reveals the “what” of user behavior — the pages where visitors bounce, the...
A/B Testing
Have you heard the story of the sea captains who killed their passengers? In the 1700s, the British government paid captains to transport prisoners to Australia. To cut costs, the captains provided inadequate food and care, so only a few passengers arrived in Australia alive. The survival rate rose...
A/B Testing
In searching for your perfect-fit A/B testing tool, simply comparing price tags and feature lists won’t cut it. There’s more that’ll impact the quality of your experiments and the learnings you can pull from them. In this guide, we’ll take a closer look at the key things you need...