Split Testing

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.

  • All Under One Roof with Google Optimize & Analytics

    Google Optimize and Google Analytics

    In this article Sean McQuaide focus on how Google Optimize and its enterprise version, Optimize 360, will change your life by putting everything under one roof.

    Sean McQuaide - January 25, 2017
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  • Building a Culture of Testing and Optimization

    Building a Culture of Testing and Optimization

    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.

    Krista Seiden - October 27, 2015
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  • Conversion Rate Maturity Model: Processes

    Conversion Rate Maturity Model: Processes

    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.

    Michal Parizek - October 28, 2014
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  • A/B Testing For Mobile Apps

    A/B Testing For Mobile Apps

    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!

    Kristoffer Olofsson - May 19, 2014
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  • A Guide To Running Successful A/B Tests

    A Guide To Running Successful A/B Tests

    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.

    Yaniv Navot - April 29, 2014
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  • How to Get Real Neuromarketing Insights

    Neuromarketing Insights

    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.

    Chris Goward - April 7, 2014
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  • Conversion Rate Optimization Maturity: Activities

    Conversion Rate Optimization Maturity Model: Activities

    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.

    Michal Parizek - November 25, 2013
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  • Conversion Rate Optimization Maturity Model

    Conversion Rate Optimization Maturity Model

    This article describes a Maturity Model of Conversion Rate Optimization as a potential way of defining what are the core assets of a successful conversion rate optimization company.

    Michal Parizek - January 29, 2013
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  • Conversion Optimization Tips & Cases [video]

    Conversion Optimization Tips & Cases [video]

    Chris Goward, Co-Founder & President of WiderFunnel Marketing Optimization, presents tips and cases studies on Conversion Optimization and describes how to get results.

    Online Behavior - August 31, 2012
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  • Google Analytics Content Experiments - A Guide To Creating A/B Tests

    Google Analytics Content Experiments - A Guide To Creating A/B Tests

    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 - June 4, 2012
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