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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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Predicting Winning A/B Tests Using Repeatable Patterns

ConversionXL

If you ever ran a highly trustworthy and positive a/b test, chances are that you’ll remember it with an inclination to try it again in the future – rightfully so. Testing is hard work with many experiments failing or ending up insignificant. Promising Results From 51 A/B Test Predictions. Do Patterns Work?

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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.

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5 A/B Tests You Should Be Running on Your Landing Page Opt-In Forms

ConversionXL

Here are five A/B tests you should be running on your landing page opt-in forms to be sure that they’re optimized for conversions. A/B test #1: The placement of your form on your page. A/B Testing Takeaways. A/B test #2: Form label alignment. Just test. A/B testing takeaways.

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7 of the Best A/B Testing Tools for 2019

Hubspot

And, as a marketer, one of the best investigative tools at your disposal is A/B testing. To help you do this, we’ve curated seven of the best A/B testing tools for 2019 that’ll help you optimize your website design, copy, product, and, most importantly, help you find the answers to your own specific situation. Optimizely.

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A/B testing mistakes PPC marketers make and how to fix them

Search Engine Land

Have you ever implemented the top-performing variation from a PPC ad copy A/B test but don’t actually see any improvement? A/B testing works – you just need to avoid some common pitfalls. Not running tests long enough to get sufficient data. And you also want to design your A/B tests differently.

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Best Practices to Establish a Single Source of Truth (SSOT) for A/B Testing

ConversionXL

And you can’t trust the outcomes of your tests if you don’t know you’re looking at accurate metrics. That’s why you need to build your testing program around a Single Source of Truth (SSOT) dataset. If you can’t, even the simplest A/B test will lack value. What is A/B testing.