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...
A/B Testing
If you’re planning to halt your A/B testing program for the holidays, you may be missing the most wonderful time of the year to capture customer insights. While it’s true – the holiday season is very different from rest-of-year, and shifts in traffic and customer behavior can pollute your...
A/B Testing
What Is MDE? Minimum detectable effect (MDE) is pretty simple on the surface, but it’s also one of the most confusing and misunderstood terms in online A/B testing. Well, it’s pretty close, but even those people know in the back of their minds that statistical power also factors into...
A/B Testing
In experimentation, data is often seen as the key to success: collect enough of it, run enough tests, and you’ll find the answers you’re looking for. While this is certainly important, this view overlooks the real differentiator: mental models. These frameworks shape how leading CROs think, make decisions, and...
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...