Back in your Statistics class, you probably wondered when you were ever going to use A/B Testing. You probably had the idea that you would be using Algebra more. In digital marketing, you have most likely found, that A/B Testing makes you a better marketer and makes you more efficient.
A/B Testing in very simple terms is a statistical test that compares two versions of something to find out which is better, more appealing, or more effective. As I mentioned before the benefits are really tremendous when you look at the simplicity of the process, It is going to increase the engagement between you and your potential buyers. It is going to enhance your campaign effectiveness, whether it be a website or an email campaign. Overall, I believe, it is going to make you a better marketer.
Let’s go over the process for running a good and effective A/B Test:
- Choose an element to test
- Ask a question / Write a hypothesis
- Decide on a sample group
- Define your goal or what success would look like
- Set up your test
- Analyze your test results (Use a statistical significance calculator)
- Determine the winner of your test
- Implement the new control
You can easily find a free statistical significance calculator on the internet to help you with your analysis and ultimately finding your winner.
Yes, A/B Testing is necessary and has many benefits for your company and for you. It may seem too basic, or you may feel you have the nuance to figure out which one is better just by your own eyes. Trust me, you can’t. You’re not the buyer, you’re the marketer. So, use this easy tool and be the best marketer you can be!
Again, you can learn more about me at http://www.jcroal.com
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