“One of the top A/B testing mistakes is having too many test variables,” says Corinne Sklar, CMO, Bluewolf, a global business consulting firm. “For example, having split subject lines and different calls to action in the email body makes it impossible to determine which of the two the success factor in driving leads was.” To avoid this problem, “keep your testing to one variable at a time.” That way, she explains, you will “gain a better understanding of what content strategy is working most with your intended audience.”
- The trouble is, small mistakes made during A/B testing can lead to round after round of incremental optimizations that fail to producing meaningful results.
- The ubiquity of A/B testing has led to a wide range of awesome, low-cost software for users to choose from, but it’s not all of equal quality.
- Prior to running an A/B test, you should run an A/A test with your software to ensure it’s working without impacting site speed and performance.
“Entrepreneur and influencer, Neil Patel, found that the A/B software he was using was showing significant differences, but when he implemented the new page he failed to see conversions change. His problem turned out to be a faulty testing tool.”