A/B Testing6:00 with Anya Mezak
The first method of quantitative testing that we’ll be discussing is A/B testing. This method compares two or more versions of a website or app to find which one performs better on a specific conversion metric.
How to know when to run an A/B test and how to get started running one
- Something is off in your analytics data
- Find out why
- Propose a potential solution
Control group -- People who see the original website design. This is used as the baseline for your experiment.
Experimental group -- People who see the design being tested.
Multivariate testing -- Technique for testing multiple concepts at the same time.
Conversion rate -- Rate at which visitors to your site get to a particular goal that you have chosen (ex. making a purchase, signing up for a service or subscribing to a newsletter)
Guideline for helping you determine the sample size. (refer to the chart in Sample Sizes section)
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