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A/B Test

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For growth marketers, there’s nothing more important than data. Wait, scratch that — there’s nothing more important than analyzing data properly. If you fail to do so, it’s easy to come to the wrong conclusions. Fortunately, there’s a way to measure data without any room for guesswork: A/B testing.  What is A/B Testing? A/B testing, also known as split testing or bucket testing, is one of the most powerful tools in a marketer’s kit. It’s…

In the age of big data and sophisticated analytics, marketers have the opportunity to test various designs, content, call to actions (CTAs), and messaging options to determine what works best for their audience. But, which testing method you use depends on several factors. We’ve outlined the differences between multivariate and A/B testing below, along with some of their common uses, advantages, and limitations, so you can decide which approach works best for your brand and…

The key to setting up any testing program is to ensure that no biases are introduced. It’s crucial to test with a clean framework where the treatment and control sets of users are comparable. Without introducing comparable audiences, the test will not reflect valid and reliable results. This is where incremental lift testing comes in. The Importance of Randomized Control Experiments When most people think of randomized controlled experiments, clinical trials, in which one group…