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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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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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How to Segment A/B Test Results to Find Gold

ConversionXL

You run an A/B test , and it’s a winner. Does it mean that the treatments that you tested didn’t resonate with anyone? If you target all visitors with the A/B test, it merely reports overall results – and ignores what happens in a portion of your traffic, in segments. How to test to ensure valid results.

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Ignorant No More: Crash Course on A/B Testing Statistics

ConversionXL

If you don’t know basic statistics, you won’t be able to tell whether your tests suck. Why Do I Need to Know A/B Testing Statistics? It’s probably a lot more fun to put up a test between a red and green button and wait until your testing tool tells you one of them has beat the other.

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Bayesian vs Frequentist A/B Testing – What’s the Difference?

ConversionXL

So what the hell does Bayesian statistics mean for a/b testing? You’re probably familiar with the Frequentist approach to testing. It’s the model of statistics taught in most core-requirement college classes, and it’s the approach most often used by a/b testing software. The Bayesian Approach. conversion rate.

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7 Sales Follow-Up Strategies that Actually Work

Cience

For example, a couple of weeks ago, I read about a guy who followed up his prospect 125 times in nine years until they finally signed a deal. That made me think: what does this guy know about follow-ups that others don’t? Why didn’t he give up after a month, a year, or even five years? Don’t believe me?

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Sample Pollution: The A/B Testing Problem You Don’t Know You Have

ConversionXL

In Bart’s words, “If you don’t know about sample pollution, stop testing.”. The first step to running better tests is to really understand sampling. Is it representative? Representative Samples. The key here is to have a representative sample. In the end, you see a lift in B, so you push that variant live.