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Learn The ABCs of Email A/B Testing

Salesforce

These might seem like small choices, but they are things that email A/B testing can help you figure out. With email A/B testing, you get all the valuable data you need to improve your next round of outreach. What is email A/B testing? How does email A/B testing work? Which image is best?

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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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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. This happens more often than you’d think.

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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. Why would you want to do this?

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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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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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Beyond “One Size Fits All” A/B Tests

ConversionXL

If you’re invested in improving your A/B testing game, you’ve probably read dozens of articles and discussions on how to plan and run A/B tests. One widely used testing platform solidifies this idea by imposing account-wide significance levels. Costs in A/B testing ROI analysis. Let’s see why.