Posted by Emily.Potter
A/B testing your SEO changes can bring you a competitive edge and dodge the bullet of negative changes that could lower your traffic. In this episode of Whiteboard Friday, Emily Potter shares not only why A/B testing your changes is important, but how to develop a hypothesis, what goes into collecting and analyzing the data, and thoughts around drawing your conclusions.
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Video Transcription
Howdy, Moz fans. I’m Emily Potter, and I work at Distilled over in our London office. Today I’m going to talk to you about hypothesis testing in SEO and statistical significance.
At Distilled, we use a platform called ODN, which is the Distilled Optimization Delivery Network, to do SEO A/B testing. Now, in that, we use hypothesis testing. You may not be able to deploy ODN, but I still think today that you can learn something valuable from what I’m talking about.
Hypothesis testing
The four main steps of hypothesis testing
So when we’re using hypothesis testing, we use four main steps:
First, we formulate a hypothesis.Then we collect data on tha… Read More