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Six Tips for Using A/B Testing to Transform Your Marketing Messaging

Trade Press Services Newsletter

A/B testing is a simple yet effective technique to ensure you use the right messaging to reach your audience and drive desired outcomes. It can be used to evaluate anything from email copy to website content. What Is A/B Testing? In an A/B test, two versions of the same asset are randomly shown to different groups.

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Upleveling A/B Testing with AI for Conversion Optimization

FunnelEnvy

With artificial intelligence (AI) generated content sending traditional SEO into a tailspin, converting traffic that does make it to the website is more important than ever to marketers. The challenge in our digital age is that traditional A/B testing methods are slow, resource-intensive, and miss hidden opportunities. Limited scope.

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What Is A/B Testing? Boost Your Website's Performance

RebelMouse

This guide covers A/B testing, its definition, advantages, and real-world applications. We will also go over how A/B testing works, ways to implement it in your SEO practices, and common roadblocks that may come up when evaluating test results. Now, let's see how A/B testing can improve your website’s performance.

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How AI Improves A/B Testing

FunnelEnvy

Today’s marketers rely on A/B testing of digital advertising assets. A/B testing is powerful because it gives marketers unbiased data from real customers, not survey panels. Read on for an overview of how AI is revolutionizing A/B testing, making it faster, eliminating more guesswork, and ultimately improving results.

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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 Designing A/B tests, determining samples sizes, and deploying them takes up a lot of time and resources, and analyzing the findings requires high levels of precision.

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4 Ways Marketing Automation Takes the Uncertainty Out of A/B Testing

Marketing Insider Group

Now, thanks to digital technology, they often resort to A/B testing to compare two or more variants against one another and see which works best. However, one of the most limiting aspects of traditional A/B testing is the fact that only a small number of variants can be tested against each other at any given time. Here’s how: 1.

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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.