A/B Tests

In marketing, A/B testing is a simple randomized experiment with two variants, A and B, which are the control and treatment in the controlled experiment. It is a form of statistical hypothesis testing. Other names include randomized controlled experiments, online controlled experiments, and split testing. In online settings, such as web design (especially user experience design), the goal is to identify changes to web pages that increase or maximize an outcome of interest (e.g., click-through rate for a banner advertisement).As the name implies, two versions (A and B) are compared, which are identical except for one variation that might affect a user's behavior.
Posts about A/B Tests
  • How to Make Marketing Analytics Easier

    … to determine where customers might be getting confused or frustrated. Experiments, or A/B tests, can also be run through Google Analytics. A/B testing is critical to becoming a data-minded marketer. A surprisingly low 24 percent of marketers create and test hypotheses. Marketers are missing the opportunity to collect real data and improve customers…

    Chris Lucas/ Convince and Convertin Twitter How To's- 13 readers -
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