Articles on Statistics

Articles on statistics written for marketers, user experience specialists, and web analysists in mind. Digging deep into statistics for online experiments (a.k.a. online A/B tests) and the methodological issues and approaches for solving them.

5 Reasons to Go Bayesian in AB Testing – Debunked

Frequentist vs Bayesian A/B Testing

As someone who spent a good deal of time on trying to figure out how to run A/B tests properly and efficiently, I was intrigued to find a slide from a presentation by VWO®’s data scientist Chris Stucchio, where he goes over the main reasons that caused him and the VWO® team to consider and […] Read more…

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The Bane of AB Testing: Reaching Statistical Significance

Illusory Results AB Testing

Now, this is not a new topic on this blog. I’ve discussed the issue of optional stopping based on “achieving” or “reaching” statistical significance in my Why Every Internet Marketer Should be a Statistician post more than two years ago and others have touched on it as well – both before and after me. However, the issue […] Read more…

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Bayesian AB Testing is Not Immune to Optional Stopping Issues

Fantasy vs real world in bayesian ab testing

Fantasy vs the Real World: Naive Bayesian AB Testing vs Proper Statistical Inference This post is addressed at a certain camp of proponents and practitioners of A/B testing based on Bayesian statistical methods, who claim that outcome-based optional stopping, often called data peeking or data-driven stopping, has no effect on the statistics and thus inferences […] Read more…

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Overview of Books on Conversion Optimization, Web Analytics, SEO & PPC

Books on online A/B testing

This overview is a little different than most overeviews out there. It will focus on three specific basic statistical concepts and would show if and how well they are explored in 18 of the top books on Conversion Optimization, A/B testing, web analytics, SEO & PPC/AdWords. The three concepts this review focuses on are statistical […] Read more…

Also posted in A/B testing, Conversion optimization, Google Analytics, Internet marketing, Multiple variations testing, Statistical significance | Tagged , ,

Should you do A/A, A/A/B or A/A/B/B tests in CRO?

A/A Split Test

This question pops up often in more “advanced” discussion forums and blogs on Conversion Optimization and usually one (or several) of the following advices are given: Do an A/A test first in order to test your split testing framework. If the difference between the two is statistically significant at the decided level, then your framework is […] Read more…

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Why Every Internet Marketer Should Be a Statistician

Marketing as Fortune Telling

I’ll start this post right with the punch line: Internet marketing at its current state is dominated by voodoo magic. There, I’ve said it, and I’ve said it in bold italic so you know it must be true. Internet marketing is not as data-driven as most of us have been led to believe, it is […] Read more…

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Analytics-Toolkit.com Official Launch – Today!

I am happy to announce the official launch of Analytics-Toolkit.com – the toolkit that makes analytics easier. I’m excited to present the results of over 2 years of development because I believe many web analytics specialists, SEO/SEM specialists, and internet marketers will find the tools in the toolkit valuable in their daily work. Most of […] Read more…

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Analytics-Toolkit.com Almost Ready

Google Analytics Toolkit HomePage

After over 2 years of development, Analytics-Toolkit.com is almost ready for prime time. I’m really excited about what’s to come both in terms of Analytics Toolkit improving the way people use the Google Analytics platform and in terms of the blog posts that I’ll do here. Well, I have to get back to working on […] Read more…

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