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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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Is A/B testing dead?

Martech

“Today, A/B testing is thriving — it’s been a huge improvement from non-A/B testing,” said George Khachatryan, CEO of AI company OfferFit, in a recent webinar. “At At the same time, the people performing these tests every day recognize that’s it’s a lot more difficult than it may seem.”.

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A/B testing is dead, long live A/B testing!

Martech

Odds are, you’re A/B testing. What’s making A/B testing obsolete? Join Scott Brinker, editor, chiefmartec.com and OfferFit’s CEO, George Khachatryan, for a discussion on how new AI methods are displacing traditional A/B testing, and what this means for the test and learn programs you use to maximize customer engagement.

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Multi-Armed Bandit: When to Do Bandit Tests Instead of A/B Tests

ConversionXL

First, let’s dive into bandit testing and talk a bit about the history of the N-armed bandit problem. What is bandit testing? The practical differences between A/B testing and bandit testing Explore-exploit Benefits of bandit testing A few flavors of bandit methodology Epsilon-greedy method What about other algorithms?

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Master the art of A/B testing

Search Engine Land

Learn how you can test before launching, improve your return and understand why your consumers selected the asset they did. The post Master the art of A/B testing appeared first on Search Engine Land. Please visit Search Engine Land for the full article.

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Bayesian A/B Testing: A More Calculated Approach to an A/B Test

Hubspot

What are some of the reasons you run an A/B test? When I think of the benefits of A/B testing, I think of one of the most popular and concrete ways to experiment with ad designs that are effective for target audiences. Up until recently, I thought that there was only one kind of A/B test.

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Master the art of A/B testing

Martech

Traditional A/B testing only lets you test messaging, creative and other marketing assets after they have gone live in the market – with no warning of how they will perform. What if there was a way to test before launching, improve your return and understand why your consumers selected the asset they did?