CRO & Testing

Personalization: How to Build a Revenue Boosting Program from Scratch

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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Funnel Analysis: Finding and Fixing Conversion Problems with Google Analytics

The conversion funnel is the most important part of every e-Commerce website. It’s where the magic happens: visitors turn into customers, fulfilling the purpose of your website.

But sadly, as we know, not all visitors who put a product into their carts end up buying.

This is what’s known as a dropout or cart abandonment. The visitor initiates his journey through the conversion funnel, but he never completes it. Why?

Visitors do not complete their journey through the funnel for any number of reasons. Frequently, we have to guess at the reason for an abandoned cart.

But, using Google Analytics, we can locate where they quit.

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No, You Shouldn't Use Visual Editors of Testing Tools [Rant]

“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. Keep reading »