When you run an experiment or analyze data, you want to know if your findings are “significant.” In this post, we’ll discuss how you can use our significance calculator. […]

When you run an experiment or analyze data, you want to know if your findings are “significant.” In this post, we’ll discuss how you can use our significance calculator. […]
Evaluating the results of your experiments depends very much on the type of A/B tests you are using. In this post, we’ll discuss how you can measure performance. […]
In this post, I’ll discuss the three-step optimization process we use, and how long it generally takes to see results after following our proven method. […]
In this post, we’ll discuss what store-level A/B testing is, how does it work, and how to set it up. […]
There’s a multitude of assisted revenue models that helps to measure the performance of your popups. Let’s see what’s Net Assisted Revenue! […]
In this post, we’ll discuss what’s campaign-level A/B testing, how does it work and how to set it up. […]
Depending on your goals, there are three main types of assisted revenue that we often use at OptiMonk. Let’s see what are the three types! […]
In this post, we’ll discuss what is A/B testing, why should you A/B test, what should you test, and more. […]
When measuring your popups’ performance, there are some aspects you need to consider before evaluating any results. Let’s see what are those! […]