Tag Archives: testing

Start A/B Testing Today with 6 Simple Steps

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You’ve likely heard the phrase, “If you’re not doing A/B testing, you’re guessing” many times while reading various marketing blogs. This is applicable to a wide range of activities, and it’s certainly the case for website improvements and conversion rate optimization. As Kathryn Aragon points out here: The trouble is, if we aren’t testing, we’re fooling ourselves. We don’t really know what works. We’re just guessing. That’s why for many site owners, testing new changes before implementing them is a no-brainer. We treat it like an essential step in the process — because it is. But it’s important that you…

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Start A/B Testing Today with 6 Simple Steps

A Comprehensive Guide To User Testing

(This is a sponsored article.) With a prototype of your design built, it’s important to start testing it to see if the assumptions you have made are correct. In this article, the seventh in my ongoing series exploring the user experience design process, I’ll explore the importance of user testing.
As I explored in my earlier article on research, where I explored the research landscape, there are many different types of research methods you can use, and there are a variety of different user tests you can run, including:

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A Comprehensive Guide To User Testing

How to Avoid Web Analytics “Analysis Paralysis” and Spend More Time Making Optimization Wins

It’s much easier to start your website optimization journey from a visual perspective than a strictly numerical one. When you can immediately see where visitors and users are clicking and where they’re not, you’re instantly clued into obvious bottlenecks, blockers, and regions that are completely ignored. Take this Google Analytics data for example… When you start digging through your typical analytics package, you’ll end up several pages deep, looking at listed data such as that shown above. Not always helpful, right? Visualizations are the best place to start What happens when I look at visual website analytics? This is a…

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How to Avoid Web Analytics “Analysis Paralysis” and Spend More Time Making Optimization Wins

The Crazy Egg A/B Test Planning Guide

A/B Testing, or “Split Testing” as it is also known, can be one of the most useful and powerful tools available for CRO, when used correctly. Without careful planning and analysis, however, the potential benefits of an A/B test may be outweighed by the combined impact of errors, noise and false assumptions. For these reasons, we created The Crazy Egg A/B Test Planning Guide. Our user-friendly guide provides a roadmap through the A/B test planning process. In addition, it serves as a convenient way to record and store your testing history for future review. What is an A/B Test? If…

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The Crazy Egg A/B Test Planning Guide

Meet XRespond Testing Tool: Let’s Make Building Responsive Websites Simpler

The way people consume information is constantly evolving. As web designers and developers, we keep up with all of the different screen shapes and sizes, learning to create beautiful, flexible software. Yet most of the available tools still don’t reflect the nature and diversity of the platform we’re building for: the browser.
When I was making my first responsive website in 2012, I quickly realized how inefficient and time-consuming the constant browser window resizing was.

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Meet XRespond Testing Tool: Let’s Make Building Responsive Websites Simpler

Learn from the Best: an Interview with Digital Marketing Legend Larry Kim

larry kim

My first real introduction to Larry Kim was when I helped coordinate the webinar: The 10 Weirdest A/B Tests Guaranteed to Double Your Business Growth. Larry came up with that genius headline and naturally we had a full house that day. I’ve been hooked on Larry ever since. We wanted to catch up with Mr. Kim and ask him a few questions around conversion rate optimization, testing, and digital marketing. Here’s what he had to say.. 1. With A/B testing, most variations of the control underperform and fail. Correct? And if so, why is that? Yes. This is true and…

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Learn from the Best: an Interview with Digital Marketing Legend Larry Kim

How to Create, Track and Rank CRO Hypotheses So You Know What to Test

CRO hypothesis ranking

CRO makes big promises. But the way people get to those 300% lifts in conversions is by being organized. Otherwise, you find yourself in the position that a lot of marketers do: you do a test, build on the result, wait a while, do another test, wait a while… meanwhile, the big jumps in conversions, leads and revenue never really seem to manifest. That’s because only a structured approach can get you in position to make the best use of your testing time and budget. This isn’t something you want to be doing by the seat of your pants. In…

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How to Create, Track and Rank CRO Hypotheses So You Know What to Test

How To Create An A/B Testing Research Framework For Faster Iterations & More Wins

online ab testing framework

Here’s the most common problem I see when it comes to conversion rate optimization (CRO): Not putting enough energy into conducting the proper initial research into what to test. One round of user tests, then change the website. One heatmap, then change the website. One cohort analysis, then change the website. This can lead to very bad testing habits. When you are trying to improve your conversion rate, you should do multiple types of research. You should be using: Qualitative methods (e.g., usability testing, 5-second testing, surveys, etc.) Quantitative methods (e.g., heatmapping, cohort analysis, funnel analysis, segmentation, etc.) And of…

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How To Create An A/B Testing Research Framework For Faster Iterations & More Wins

Glossary: Multivariate Testing

Multivariate Testing

A type of hypothesis testing where multiple variables are tested simultaneously to determine how the variables and combinations of variables influence the output. If several different variables (factors) are believed to influence the results or output of a test, multivariate testing can be used to test all of these factors at once.  Using an organized matrix which includes each potential combination of factors, the effects of each factor on the result can be determined. Also known as Design of Experiments (DOE), the first multivariate testing was performed in 1754 by Scottish physician James Lind as a means of identifying (or…

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Glossary: Multivariate Testing

How to Blend Google Analytics & Crazy Egg for Conversion Boosting Glory

conversion boosting glory

Most A/B test and conversion optimization ideas have their beginnings in web analytics reports. And there are countless types of reports that can provide inspiration for meaningful A/B testing. But still, it is extremely hard to come up with a successful test hypothesis using only quantitative data. Why? Because it simply doesn’t tell you the whole story. To cite Avinash Kaushik: Web analytics will show you where your website is leaking money. But you need qualitative research to find out why it does so. This is where data from Crazy Egg heatmaps and scroll map reports comes in handy. It…

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How to Blend Google Analytics & Crazy Egg for Conversion Boosting Glory