How-To

11 A/B testing mistakes and how to avoid making them

Poorly done A/B testing will not only yield inaccurate data on what your customers prefer, but it may actually cause you to lose customers. Here are 11 classic mistakes and ways you can avoid them.
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Jennifer Lonoff Schiff is a business and technology writer and a contributor to CIO.com. She also runs Schiff & Schiff Communications, a marketing firm focused on helping organizations better interact with their customers, employees and partners.