AB Testing

A/B test consists of creating alternative pages for a specific page and showing each of them to a certain percentage of visitors. The redirects are usually performed by JavaScript tags, and cookies are used to provide the same versions to returning visitors. The most important advantage of this method over multivariate testing is the design freedom when it comes to layout changes.

In this post I go over the new Google Analytics Content Experiments, a tool that can be used to create A/B tests from inside Google Analytics. This tool has several advantages over the old Google Website Optimizer, especially if you are just starting the website testing journey. Content Experiments provide a quick way to test your main pages (landing pages, homepages, category pages) and it requires very few code implementations.
Daniel Waisberg -
Who are your landing page visitors, and what do you know about them? The answer to this question is the foundation for a successful landing page strategy. It will help you answer all of the questions about what should or shouldn't be on your page.
Anna Talerico -
Good food and the feeling that you’re special are the two main reasons that many people return to the same restaurant. Websites should be able to deliver the same experience to its customers. Learn more about how to do it.
Dennis van der Heijden -
Website Testing is one of the most important conversion optimization techniques. However, it should be used taking into consideration the wider context of online marketing. In this post I will show a case study on how to account for SEO when using AB testing in websites. I will first discuss how A/B test can hurt SEO and then provide a way to solve the issues that might be caused by A/B tests.
Michal Bitton Nassimian -
There are seemingly countless ways to improve your website, but as always, limited time and resources. When done right, the website optimization process can be relatively painless, and bring about significant gains in conversion rates and revenue. Learn more about where to start your journey to a more optimized website.
Andrew Follett -
A/B testing is as simple as designing two versions of a webpage, splitting the traffic amongst those versions and choosing the version that produces maximum conversions. However, in order to truly boost your conversions, you need to know some of the advanced A/B testing tactics that only experienced practitioners currently use. Learn how to do it from this article.
Paras Chopra -
In this presentation delivered at Stanford, Dan Siroker, responsible for Analytics & Testing at the Obama Campaign, describes how they used data to win the presidential election. He shares numbers and insights into how to apply Analytics to drive decision making on developing, designing, and marketing a website.
Online Behavior -
One of the topics web analysts often deal with is analyzing the relationship between what a visitor sees and what they do. But how can we know if viewing certain content leads to a conversion or is there something else at play?
Ophir Prusak -
We should not treat the serving of landing pages any different from the serving of ad banners. I would argue that we need to use superior methods and devote larger parts of our budget to the optimization of the serving of landing pages and its content; the landing page is the place where the user makes an actual commitment as opposed to just clicking a banner.
Gilad Hellerman -
This article presents a framework for split testing. From an overview of the most common techniques (AB and Multivariate Testing) to the resources needed for testing (People, Process, Technology) and the value it brings to the organization.
Daniel Waisberg -