AB Testing - Topics A-Z
Topics A-Z listing of articles and resources about how to use AB testing to compare and contrast the pages which have better conversion rates for visitors to your website.
- Do It Yourself A/B Testing
- by Conrad Saam. Search Engine Land, April 4, 2012. Shows you how to use a free online tool called AB Tester, which allows you to measure up to three alternatives compared to a benchmark.
- 45 Awesome Posts on A/B, Multivariate, and Usability Testing
- By Kristi Hines, Unbounce, December 7, 2011. "... These 45 posts from 2011 will teach you all you need to know about A/B testing, multivariate testing, and usability testing for copy, design, landing pages, PPC, and much more..."
- 4 Areas To A/B Test For E-Commerce Websites
- by Paras Chopra. Search Engine Land, August 31, 2011. "Out of all websites found on the Internet, online retail stores have the most potential for improvement through A/B testing. Amazon, Ebay and Etsy are just few examples of e-commerce websites that do a ton of A/B testing. The potential for A/B testing is enormous because of the sheer number of variables that these stores can experiment with: search results, product categories, pricing, product images, ratings, etc.
Another reason why A/B testing is so important for e-commerce websites is because their conversion goal is not some indirect metric such as leads or downloads but a direct sale..."
- A Primer on A/B Testing
- by Lara Swanson. A List Apart Magazine, August 23, 2011. "Data is an invaluable tool for web designers who are making decisions about the user experience. A/B tests, or split tests, are one of the easiest ways to measure the effect of different design, content, or functionality. A/B tests allow you to create high-performing user experience elements that you can implement across your site. But it's important to make sure you reach statistically significant results and avoid red herrings. Let’s talk about how to do that..."
- 5 Strategies for Improved A/B Testing
- by Tim Mayer. ClickZ, August 9, 2011. "In a metrics-driven culture, product developers and marketers often become too reliant on A/B testing. This clogs the test pipeline with non-needle moving initiatives, unnecessary validations of well-known design/product principles, or ISO-testing features that couldn't be launched without other bundled features. In essence, companies over-test, test incorrectly, and don't look for opportunities to streamline the testing process..."
- Data Collection in Multivariate Testing
- by Tim Ash. ClickZ, June 6, 2011. "There are two main design approaches used in multivariate testing: full factorial and fractional factorial. Before you get too far in planning your multivariate testing, you'll need to understand the advantages and disadvantages of each..."
- Conversion Rate, A Most Powerful Lever Indeed
- by Ryan Woolley. Search Engine Watch, February 25, 2011. Discusses the use of AB testing to help improve your conversion rates either by using a server-side rotation, where you send all traffic to a single URL that then redirects traffic to test pages based on the design of your test or by using Google Website Optimizer.
- 4 Out Of 5 Conversion Experts Prefer A/B Testing
- by Scott Brinker. Search Engine Land. May 19, 2010. "Earlier this month, I presented at the inaugural Conversion Conference organized by landing page expert Tim Ash... I was inspired by all of them, but perhaps the most surprising discovery was how many of these conversion optimization pros favor simple A/B testing over more advanced multivariate testing (MVT). My informal survey: 4 out of 5 prefer it. More than that, they passionately champion it.
Most of these experts are tool agnostic—they don’t care about selling MVT or A/B testing technologies. All they care about is delivering sustained conversion rate improvements to their clients. So given complete freedom to use either method, why would so many of them choose A/B testing?..."
- Pitfalls Of A/B Ad Testing, Part 3
- by Matt Van Wagner. Search Engine Land, May 3, 2010. "Over the past two months in this column, I've discussed some of the pitfalls of A/B ad testing, and in this third and final installment, I'll discuss a new PPC ad optimization model I've been working on and have lovingly entitled, the Van Wagner Ad Sets Optimization Model..."
- Maximize Your Google Website Optimizer Wins With Traffic Segmentation
- Posted by Jake Lucky, Website Optimization Specialist. ROI Revolution Blog, March 30, 2010. "Google Website Optimizer is a very capable testing platform allowing you to setup complex multivariate experiments using a simple, intuitive interface. So what's the problem?..."
- A/B Split Testing Crash Course
- By Tim Ash, ClickZ, April 27, 2010. "A/B split testing is the most basic landing page optimization method available. The name comes from the fact that two versions of your landing page ("A" and "B") are tested. "Split testing" refers to the random assignment of new visitors to the version of the page that they see. In other words, the traffic is split and all versions are shown in parallel throughout the data collection period (usually in equal proportions)..."
- The Pitfalls Of A/B Ad Split Testing, Part 2
- by Matt Van Wagner. Search Engine Land, April 5, 2010. "... Based on the conversations and online exchanges I've had with many of you, there seems to be general support for the idea that an group that contains an strong ad set should be capable of outperforming an ad group with just a single A/B test ad champ - at least in theory. So, let's dig into these theories a bit more deeply as we examine some of the pitfalls in A/B split ad testing..."
- The Pitfalls Of A/B Ad Split Testing, Part 1
- by Matt Van Wagner. Search Engine Land, March 8, 2010. Discusses the issue of over-optimizing our text ads to the detriment of the overall health of our pay per click (PPC) campaigns and that A/B testing, taken to its extreme, can actually cause PPC campaign performance to degrade.
- Using Google Analytics as an Alternative to Website Optimizer
- by Will Reinhardt. SEO People, December 22, 2009. "Recently while doing some banner conversion rate testing with an eCommerce client, we found that our numbers were not adding up correctly. The problem was that Website Optimizer limits the test set to a specific action on the part of the consumer, essentially placing blinders on our testing efforts. With eCommerce sites though, there are many more variables to consider — we want to know how many people clicked on the test as well as how many made a purchase. Our solution was to add some new code that performs the logic to determine who see what, and let the custom segmentation within Google Analytics handle the responsibility of reporting the results..."
- Landing Page Testing: Choosing Between A/B Or Multivariate Approaches
- by Daniel Waisberg. Search Engine Land, October 14, 2009. "In a previous post, I wrote about how to get started with website testing, both choosing which pages to test and how to define which elements will contribute the most to profits. However, there are quite a few testing methods to choose from. In this post I will delve into the two most common testing methods: A/B tests and multivariate tests (MVT). What is the difference between them? How can you choose which one best fits your needs?..."
This category last updated: 5 April 2012