Blog

Where UX, CRO and design meet machine learning & neuroscience.

How A.I. can Help You Advocate for Website Design Changes

Posted by Kurtis Morrison

Most websites are too cluttered and fail to efficiently guide users to the content they're looking for. But making changes to your company's website can be a serious headache. Every stakeholder has an opinion, and getting anything done can be a major challenge. If you work for a digital agency dealing with client websites, this likely rings especially true.

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AI Based Analytics, Tracking Tools & Website Heatmaps after GDPR

Posted by Kurtis Morrison

Post to GDPR, Consider Less Invasive AI-based Analytics Methods.

In May this year, new EU General Data Protection Regulation (GDPR) will take effect. This new, stricter legislation has significant consequences for any online business that collects data about its customers.

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How Ambition Data makes data actionable for their clients.

Posted by Dominic Harkness

Digital marketing experts know that having data is critical for understanding and improving digital performance for their clients. But all that data can sometimes be overwhelming - especially for clients and stakeholders who aren't accustomed to it. In order for insights to be shared and undrstood, raw data sometimes needs to be turned into something more meaningful and intuitive. In this case study we’ll show how Ambition Data uses EyeQuant to do just that.

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Predictive Eye Tracking Analysis for Your Website

Posted by Kurtis Morrison

Website heatmaps have been a popular analysis tool for years, and there are dozens of different vendors out there offering some form of heatmaps - whether they're measuring clicks, mouse movements, or other kinds of engagement.

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How Monito used A.I. to evaluate 12 A/B test ideas in one day

Posted by Dominic Harkness

A/B testing is a powerful method for testing design variants, but it's also expensive. Each test costs time, traffic, and development resources. Adding to the frustration, only one out of seven A/B tests generates any meaningful uplift in the first place. This means there's always a considerable risk that the test variants will underperform, cost immediate revenue and eat up time and money. Almost all conversion teams feel the strain of limited resources in one way or another.

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How user testing by Userlytics helps optimize for attention

Posted by Dominic Harkness

On the EyeQuant blog, we often write about the importance of visual hierarchy on websites, and making sure that users can quickly find what they’re looking for. We often give tips for how to visually emphasize key content. But how do you know which content is actually important and needs to be seen right away?

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Eye Tracking Software - Is It Effective for Conversion Optimization

Posted by Kurtis Morrison

For the last couple of years, our friends at ConversionXL have compiled an annual State of Conversion Optimization report that details the progress made in the industry over time based on a survey of 333 optimization practitioners. The 2017 edition has landed, and includes all kinds of interesting stats.

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Modern UX Design Tools to Implement a Classic Usability Strategy

Posted by Kurtis Morrison

By now, most companies of a certain size have made at least one attempt to institutionalize UX. But few have managed to truly make it a fluid part of their everyday design processes.

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Topics: Workflow & Tools, UX

What are Website Heatmaps and How to Use Them?

Posted by Rory Gallagher

Demystifying Website Heat Maps: A Complete Guide for Enterprise Buyers.

Heat maps: it’s probably the broadest, most popular category of insight tools available to any company that wants to understand and improve the user experience on their website.

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Why Your A/B Testing Program isn't Working

Posted by Kurtis Morrison

By Kurtis Morrison, VP Client Services at EyeQuant

Over the past 4 years I’ve met somewhere between 500 and 1000 conversion optimization practitioners. I meet more every week, and with every person I meet I try and learn a little something. I ask lots of questions. One of my favourite questions is this:

What percentage of your A/B tests are “winners”?

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It seems simple enough. The ultimate KPI for any conversion optimization program is uplift. Without uplift, there is no measurable ROI of conversion optimization. There’s no tangible reason for management to take it seriously as a function. So you’d think that people in CRO - who spend all day looking at metrics and data - would know their own numbers, right? Yet in most cases, the people I talk to have only a rough idea of what their win-rate is, and many don’t really know. (FYI: the reported "win rates" range from 20% to around 70%)

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