conversion research

UX Research and A/B Testing

A/B testing is common practice and it can be a powerful optimization strategy when it’s used properly. We’ve written on it extensively. Plus, the Internet is full of “How We Increased Conversions by 1,000% with 1 Simple Change” style articles.

Unfortunately, there are experimentation flaws associated with A/B testing as well. Understanding those flaws and their implications is key to designing better, smarter A/B test variations.

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Web Analytics Analysis

For an web analytics analyst or a data-driven marketer, these are words to live by: “Without data, you’re just another person with an opinion.” [Tweet It!]

Optimization isn’t about educated guesses and hunches, no matter how many years you’ve been in the industry. It’s about doing the research, asking the right questions, digging for clues in problem areas, paying attention to the signs when they appear, and running smart A/B tests.

Web analytics analysis is a big part of that. It helps to separate the optimizers from just another person with an opinion.

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Qualitative Research

You spend most days analyzing and interpreting numbers, right? You’re constantly sifting through Google Analytics dashboards, Formisimo reports, Mixpanel data – the list is endless.

When you spend so much time focusing on the numbers, it’s easy to forget about the people generating those numbers. [Tweet It!]

That’s where qualitative conversion research comes into play. At least, that’s where it should come into play.

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