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Confidence intervals are a standard output of many free and paid A/Btesting tools. Most A/Btest reports contain one or more interval estimates. Note: If you want a deeper dive, you’re in luck: I just released a book, Statistical Methods in Online A/BTesting , and I teach CXL’s course on A/Btesting statistics.).
In regards to conversion optimization, we’re of the belief that UX is a big part of our process and that great UX leads to more conversions. But how do UX people view conversion optimization? What do they think it is, and how do they think it fits into the organizational context with UX?
Optimizers come from all walks of life: IT, design/UX, analytics, marketing, translation, photography etc. Running A/Btests is no monkey business, you need to know what you’re doing to ensure validity of your results. #5 Optimization involves running tests. So in essence – great optimizers are polymaths.
Michael Aagaard, ContentVerve : Getting insights from Analytics during your research phase is crucial to identifying optimization opportunities and developing solid test hypotheses. But it’s just as important to stay on top of things while you’re running your A/Btest experiments.
Great academy to learn how to take good advantage of all the features” — Small business, real estate, marketing and sales director “It has great design and an incredible UX. A/Btesting. Things are simple and easily accessible” — Small business, education management, marketing manager. SharpSpring from Constant Contact.
Ton Wesseling: How to Utilize Your Test Capacity? you don’t have enough data and you can’t run A/Btests. Can begin running tests. If you are below 1,000 conversions per month, you don’t have the power to run tests (w/ power of 80, you need 15%). 6 A/Btesting pitfalls: Misinterpreting P-values.
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