How Many A/B Tests Should You Run Each Month?

A few chart icons and the text: Find Your Ideal A/B Testing Rate, indicating this blog answers how many a/b tests should you run each month and addresses A/B testing cadence.

It’s a common question among product, marketing, and development teams: How many A/B tests should you run each month? If you’re a digital leader or working on conversion rate optimization, you’ve probably wondered about the answer, too. While it’s a fair question, it might not be the most helpful one for supporting your experimentation program […]

5 Reasons to Run Experiments With Group Sequential Testing

A/B testing plays a critical role in improving web, mobile, and product experiences. But running experiments isn’t enough on its own. The real value comes from how confidently and efficiently you can interpret results and act on them. The statistical model behind your experiments directly affects the quality of your decisions. And many organizations still […]

4 Hybrid A/B Testing Myths That Could Be Holding You Back

As experimentation programs mature, simply running more A/B tests isn’t enough to stay competitive. Teams need to test more intelligently, move faster, and evaluate a broader set of experiences across both front-end and back-end systems. That’s where hybrid A/B testing comes in. Hybrid experimentation combines client-side and server-side testing within a single experiment, enabling teams […]

Why You Need a Clear A/B Testing Hypothesis for Every Experiment

The spark behind many A/B tests starts with a familiar thought:“Let’s try this and see what happens.” That curiosity-driven mindset is an essential part of effective conversion rate optimization. Experimentation thrives on testing, learning, and iteration. It’s how teams uncover new opportunities, challenge assumptions, and evolve digital experiences over time. But without the right structure, […]

Thanks for reaching out!

A member of our Partnership Team will be in contact shortly.