Split Testing is one of the most important techniques when it comes to website optimization. It shows what users like, how they react to design, which content they are looking for, which offer is more attractive, and so on. The most used methods for splitting website traffic are AB Testing and Multivariate Testing.
This article, written by Google's Analytics Advocate Krista Seiden shows how to successfully build an optimization and testing culture by outlining an ongoing process for data usage, analysis and communication.
When you start your Conversion Rate Optimization (CRO) journey you most probably do it chaotically. Unfortunately, the absence of regular processes results in poor results and in longer optimization cycles. In this article you will learn an effective methodology that will lead you to more successes and allow you to do more with less.
Content experiments for mobile apps can be extremely valuable to a business. We are no longer dependent on long development cycles as soon as we want to test something new. And when we do want to test, we can do so faster, more accurately, and with more certainty to avoid costly mistakes based on hunches. Learn how!
This article provides important statistical references and actionable tips in order to run A/B Tests in a professional way. The ideas reflected in this article will help you improve your A/B testing techniques for better decision making and conversion rates.
Before dismissing your great idea for the next campaign, ad, or website landing page, make sure you don't rely solely on qualitative data. By incorporating current neuroscience studies and other qualitative data to form hypotheses, you can begin testing these hypotheses thoroughly and interpreting the results to maximize your conversion optimization and create your next breakthrough campaign.
Let's have a closer look at the next Conversion Rate Optimization Maturity Model's pillar: Activities. We've already described People and Knowledge, which are the main inputs for this pillar. The typical outputs of the activities are insights which you're able to apply to your site and improve the conversion.
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.