In this knowledge stream, I’ll begin with the fundamentals - clarifying what A/B testing is and why can it be very beneficial for data-driven decision-making. I then dive into the benefits and limitations A/B testing offers. The talk will proceed to dissecting the structure of A/B testing, where we'll explore key steps such as data analysis, hypothesis formulation, experiment construction, and result interpretation.
Additionally, I will present various tools available to facilitate efficient A/B testing implementation. By the end of this webinar, you'll have a comprehensive understanding of A/B testing principles and strategies to harness its power effectively.
In order to learn about A/B testing, have a look at the webinar above :)