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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?

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The Perfect Combination: GenAI and Persuasion Strategies for Unbeatable A/B Tests

Martech

You also can use GenAI in your A/B testing. Who the prompt is representing (the email marketer). Whom the email represents (the ecommerce clothing retailer). The post The Perfect Combination: GenAI and Persuasion Strategies for Unbeatable A/B Tests appeared first on MarTech. Let’s break it down: 1.

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How To Visualize A/B Test Results

ConversionXL

You may be wondering, “why should I make my own visualization of my A/B test results?” ” Because the A/B testing tools in the market already provide you all the necessary tables and graphs, right? They tell you when an A/B test is significant and what the expected uplift is. So why bother?

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How to Minimize A/B Test Validity Threats

ConversionXL

You have an A/B testing tool, a well-researched hypothesis and a winning test with 95% confidence. There are factors threatening the validity of your test, without you even realizing it. Quite simply, validity threats are the factors that threaten the validity of your A/B test results. Not so fast.

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How to Segment A/B Test Results to Find Gold

ConversionXL

You run an A/B test , and it’s a winner. Does it mean that the treatments that you tested didn’t resonate with anyone? If you target all visitors with the A/B test, it merely reports overall results – and ignores what happens in a portion of your traffic, in segments. Follow up tests. Probably not.

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Ignorant No More: Crash Course on A/B Testing Statistics

ConversionXL

If you don’t know basic statistics, you won’t be able to tell whether your tests suck. Why Do I Need to Know A/B Testing Statistics? It’s probably a lot more fun to put up a test between a red and green button and wait until your testing tool tells you one of them has beat the other. .”

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How to Analyze Your A/B Test Results with Google Analytics (Updated)

ConversionXL

A/B testing tools like Optimizely or VWO make testing easy, and that’s about it. They’re tools to run tests, and not exactly designed for post-test analysis. Most testing tools have gotten better at it over the years, but still lack what you can do with Google Analytics – which is like everything.