A/B testing should make your marketing work harder, but sometimes A/B testing is just harder work. What are the causes when A/B testing gets an F? In my experience, there are three top culprits at work: testing the wrong things, measuring with the wrong metrics, and misunderstanding the details of the audience. Join us for a riveting explanation of what often goes wrong and how to turn your testing into A+/B+ testing!

Takeaway

• Test more like an R&D project
• Pick the best metric to match the need
• Understand how A and B can both be useful/winners