A/B tests are tests that aim at comparing two experiments A and B against each other. Sounds quite scientific right? However, this principle can be translated to any area that we want explore, tackle, improve and iterate. A/B testing is a simple way of comparing two versions of a single variable typically of 2 (or more) actions or subjects, by typically analyzing the performance against each other.
With this method we encourage sales and growth teams to improve outbound approaches, processes, messaging, inbound activations, copywriting, and technically anything that you could improve and iterate.
In this guide you’ll learn:
- What is an A/B test
- Why should you run A/B tests
- Metrics you should aim to improve in your A/B test
- Defining the sample size
- Best practices