A/B Testing Helps Make Decisions

What is A/B Testing?

To simply answer that question, A/B testing is comparing two versions of something and seeing which one works better. They are randomized controlled experiments because you can set it so half of the time people are sent to one page and the other half go to the other page. Then you can collect data on which one performed better.

Sample Hypothesis

Think for example, that you are running a food business. You can create two different pages. One could have pictures of the food at the bottom and the other one could have the pictures at the top and you run that A/B test and see who shops more on your website. I’m sure in the results you will see that people like pictures of the food and will be more likely to buy from you but you can do that with any website.

Click here to learn more about A/B Testing

https://hbr.org/2017/06/a-refresher-on-ab-testing

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