Articles on Conversion optimization

Articles on conversion rate optimization a.k.a. CRO with primary focus on e-commerce and online businesses and e-mail marketing optimization.

When Session-Based Metrics Lie

Per Session Metrics In AB Testing

In online A/B testing it is not uncommon to see session-based metrics being used as the primary performance indicator. Session-based conversion rates and session-based averages (like average revenue per session, in likeness to ARPU) are often reported by default in software by prominent vendors, including Google Optimize and Google Analytics. This widespread availability makes session-based […] Read more…

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Top Misconceptions About Scientific Rigor in A/B Testing

Have you ever thought that statistically rigorous A/B tests are impractical? Or do you have trouble selling the need for rigor in testing to your clients, coworkers, or boss? This article debunks the top five myths about the necessity and difficulties of applying scientific method in online A/B testing. Read more…

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The new standard for planning and analyzing A/B tests is here

A/B testing statistics done right

The first major overhaul of Analytics Toolkit since its release in early 2014 has finally arrived and it brings with it solutions to many of the hard questions facing practitioners when planning and analyzing A/B tests. Conducting statistically rigorous tests while achieving the best return on investment go hand in hand in the new Toolkit. […] Read more…

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Bayesian Probability and Nonsensical Bayesian Statistics in A/B Testing

Bayesian Probability and Bayesian Statistics in AB Testing

Many adherents of Bayesian methods put forth claims of superiority of Bayesian statistics and inference over the established frequentist approach based mainly on the supposedly intuitive nature of the Bayesian approach. Rational thinking or even human reasoning in general is Bayesian by nature according to some of them. Others argue that proper decision-making is inherently […] Read more…

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The Perils of Poor Data Visualization in CRO & A/B Testing

As any UX & CRO expert should now, the way we present information matters a lot both in terms of how well it is understood and in terms of the probability that it will lead to the desired action. A/B testing calculators and other tools of the trade are no exception and here I will […] Read more…

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What Can You Learn From Running an A/B Test for 2 Years?

AB Test Case Study

We just concluded an A/B test on Analytics-Toolkit.com that has been left to run for just over 2 years. And it failed, as in failing to demonstrate a statistically significant effect based on the significance threshold it was designed for. Has it been a waste of time, though, or can we actually learn something from […] Read more…

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Statistical Methods in Online A/B Testing – the book

Book Cover Statistical Methods Online A/B Testing

The long wait is finally over! “Statistical Methods in Online A/B Testing” can now be found as a paperback and an e-book on your preferred Amazon store. Note that the Kindle edition is available for $2.99 or equivalent if you’ve already purchased the paperback (through Kindle Matchbook). The book is a comprehensive guide to statistics […] Read more…

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A/B Testing with a Small Sample Size

AB Testing Small Business

The question “How to test if my website has a small number of users” comes up frequently when I chat to people about statistics in A/B testing, online and offline alike. There are different opinions on the topic ranging from altering the significance threshold, statistical power or the minimum effect of interest all the way […] Read more…

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Online glossary of A/B testing terms and abbreviations

AB testing glossary

We are happy to present a brand new addition to our website: a comprehensive A/B testing glossary containing terms and abbreviations used testing as part of conversion rate optimization (CRO).  Definitions start from very basic things such as “A/B test“, “mean“, “conversion rate” and “revenue per user“, go through “hypothesis“, “null hypothesis“, “standard deviation“, “p-value” […] Read more…

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