CRO & Testing

You run an A/B test, and it’s a winner. Or maybe it’s flat (no difference in performance between variations). Does it mean that the treatments that you tested didn’t resonate with anyone? Probably not.

If you target all visitors with the A/B test, it merely reports overall results – and ignores what happens in a portion of your traffic, in segments.

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Did you know that Netflix has only 90 seconds to find a show that suits a user before she gets frustrated and quits? According to a recent academic study, “a typical Netflix member loses interest after perhaps 60 to 90 seconds of choosing, having reviewed 10 to 20 titles (perhaps 3 in detail) on one or two screens.”

How does Netflix manage to find the right show for the right user so quickly?

According to the same study, 80% of its customers’ video plays comes from its personalized recommendation engine. Netflix estimates the value brought by this personalized recommendation system at a billion dollars per year.

That’s a serious win achieved through personalization.

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“Our A/B testing tool’s visual editor allows marketers to set up tests without needing developers!”

A version of this is communicated by pretty much every testing tool out there. Their websites show off screenshots or videos of visual editors. But it’s wrong. You shouldn’t use visual editors to run your testing program.

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