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A/B testing and SEO: How to navigate pitfalls and maximize results

Search Engine Land

A/B testing can be a great tool for enhancing website functionality, user experience and conversions. However, when done at an enterprise scale, A/B testing poses unique challenges that can inadvertently undermine a site’s SEO performance.

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

Martech

Persuasion principles and cognitive biases In my last MarTech post, I showed you how to combine email design with several of Robert Cialdini’s seven persuasion principles, such as loss aversion and social proof, to make your emails more click- and conversion friendly. You also can use GenAI in your A/B testing. Get MarTech!

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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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A/B testing alternatives for low-traffic websites

ConversionXL

In a world where A/B tests are done by over 70% of online businesses , choosing not to follow a data-driven methodology to make informed decisions on website changes might seem unreasonable. Or if your management refuses to justify the costs of A/B testing? Alternatives to A/B testing for low-traffic sites.

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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. The Goal: Better Than 50/50 Randomness.

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How to A/B Test Your Pricing (And Why It Might Be a Bad Idea)

Hubspot

Let's dive into the pros and cons of A/B testing your pricing — and how to do it. Plus, some alternatives to A/B testing your pricing if you've determined the weaknesses outweigh the strengths. This is where A/B testing comes into play. Let's explore how to A/B test your pricing, next.