Do you have two different iterations of a web page, marketing email, or web idea? Not sure which one to use? You should give A/B or Multivariate testing a try. A/B testing is a practice that helps you figure out what option will work best with your online audience in terms of response rate or sales conversion rate
Multivariate testing is similar to A/B testing, but involves more than two different iterations of the same idea.
A/B & Multivariate testing has been utilized by the direct mail industry for some time, but it has been taken on in the interactive space to test the response/conversion rates of banner ads, landing pages, websites, and marketing emails.
How it works:
The folks running the A/B or Multivariate test will show the testers two or more samples of a test, consisting of the original (the control) to see which variations are more effective in achieving the desired outcome. These tests are most effective when they are shown to a fairly sizable audience, as the results should show some reasonable difference between the original version of the page/email/idea and the other variations.
Also, here’s some additional resources that will give you the basic gist so you can get started!
A Web Designer’s Introduction To A/B Testing
[Web Design Tuts]
Clutch.io: A/B Testing For Mobile Apps
[A tool worth checking out!]
A Primer On A/B Testing
[A List Apart]
Do It Yourself A/B Testing
[Search Engine Land]
Why A/B Testing Is Essential To Your Startup Campaigns
[The Next Web]
8 Rules Of A/B Testing: The Art Of Marketing Science
[Search Engine Watch]