ConversionXL

OCTOBER 1, 2019

Confidence intervals are a standard output of many free and paid A/B testing tools. Most A/B test 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/B Testing , and I teach CXL’s course on A/B testing statistics.).

A/B testing 110

A/B testing Construction UX Presentation 110

ConversionXL

FEBRUARY 12, 2015

Optimizers come from all walks of life: IT, design/UX, analytics, marketing, translation, photography etc. Running A/B tests 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.

Conversion 122

Conversion UX A/B testing Clients 122

Capterra Sales & Marketing Software

DECEMBER 17, 2021

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/B testing. Things are simple and easily accessible” — Small business, education management, marketing manager. SharpSpring from Constant Contact.

Real Estate 97

Real Estate Campaign Price CRM 97

ConversionXL

MARCH 1, 2016

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?

UX 66

UX Conversion A/B testing User Experience 66

ConversionXL

MARCH 26, 2014

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/B test experiments.

Conversion 131

Conversion Healthcare E-commerce Networking 131

ConversionXL

APRIL 6, 2016

Ton Wesseling: How to Utilize Your Test Capacity? you don’t have enough data and you can’t run A/B tests. 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/B testing pitfalls: Misinterpreting P-values.

A/B testing 77

A/B testing Non-Profits E-commerce X-functional 77