Remove A/B testing Remove Customers Remove Objectives and Key Results Remove User Experience
article thumbnail

What is A/B Testing? The Complete Guide: From Beginner to Pro

ConversionXL

A/B testing splits traffic 50/50 between a control and a variation. A/B split testing is a new term for an old technique — controlled experimentation. Yet for all the content out there about it, people still test the wrong things and run A/B tests incorrectly. Table of contents What is A/B testing?

article thumbnail

PXL: A Better Way to Prioritize Your A/B Tests

ConversionXL

If you’re doing it right, you probably have a large list of A/B testing ideas in your pipeline. Some good ones (data-backed or result of a careful analysis), some mediocre ideas, some that you don’t know how to evaluate. We can’t test everything at once, and we all have a limited amount of traffic. Image Source.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How to use AI to elevate social media campaigns

Search Engine Land

The results speak for themselves through boosted engagement, reduced costs, and streamlined operations. One example is the makeup brand Sephora, which uses AI to improve the customer experience. After researching, the brand discovered that users were overwhelmed by their vast number of products.

Campaign 116
article thumbnail

How to Build a Strong A/B Testing Plan That Gets Results

ConversionXL

A strong A/B testing plan will allow you to increase your revenue. You will also learn valuable insights about your customers, because you will be “knowing” instead of “thinking about” their preferences. A/B testing produces concrete evidence of what actually works in your marketing.

article thumbnail

Marketing Objectives for the Product Lifecycle Growth Stage

ConversionXL

Groove’s customer service platform almost died in the introductory stage because they forgot to listen to their customers. They drew people in with a product they assumed would be a hit and pushed forward without taking in customer feedback. The result? People had a terrible experience using their product.

Growth 102
article thumbnail

How to Use UX Research to Create Smarter A/B Test Variations

ConversionXL

A/B testing is common practice and it can be a powerful optimization strategy when it’s used properly. Unfortunately, there are experimentation flaws associated with A/B testing as well. Unfortunately, there are experimentation flaws associated with A/B testing as well. Where A/B Tests Are Going Wrong.

article thumbnail

5 Uncomfortable A/B Testing Questions

ConversionXL

You ran a test, and had a solid winner – the sample size was adequate, test ran for 2 business cycles, confidence level was above 95% – and the lift was like 10%. You’re confident in the result – and implement the winner on your site. Now 3, 6 or 12 months go by. Is the lift still there? “[link].