We value your privacy
This website uses cookies to ensure you get the best experience on our website.
This website uses cookies to ensure you get the best experience on our website.
Here’s a list of the most common EyeQuant questions. Click on a question to learn more!
EyeQuant is an A.I. for instant, objective analyzes of web and mobile interfaces. It uses machine learning to analyze any website or mockup within seconds and provides attention-based feedback. EyeQuant is fully predictive, which means it works on both mock ups and live designs. It’s available online, and no integration is required to check whether key elements receive enough attention and how clean or cluttered a design is. No tracking code or participants are required, and it delivers three types of analyzes:
There are a variety of use cases for using EyeQuant. Here are some examples:
The URL grabber will simply take a screenshot of the webpage above the fold, and you can specify a preferred resolution size. The image is then analyzed exactly the same way as if you had uploaded the image file directly. For either option you can also toggle between “desktop analysis” and “mobile analysis” before you upload an image file or submit a URL.
Note: the URL grabber will take a screenshot of a page and could potentially include pop-ups and cookie notifications. If you don’t wish to analyze a design with these elements, then you may wish to upload an image file directly, or use the Chrome Browser Extension, to maintain full control over what is analyzed.
EyeQuant models a set of processes that occur in a user’s brain when they’re presented with a visual scene. In the context of websites, the “visual scene” is the screen. Since users don’t see the entire length of the page on the screen at once, it would be unrealistic for EyeQuant to analyze the entire length of the page in one go.
For that reason, when you enter a URL EyeQuant automatically crops the screenshots above the fold. You can change the resolution size of the screenshot before you hit the ‘Grab page’ button.
If you want to analyze a live web page in its entirety, try using the Chrome Browser Extension to analyze screen size segments of the full webpage.
EyeQuant models a set of processes that occur in a user’s brain when they’re presented with a visual scene. In the context of websites, the “visual scene” is the screen. Since users don’t see the entire length of the page on the screen at once, it would be unrealistic for EyeQuant to analyze the entire length of the page in one go.
For that reason, when you upload a full-page design file EyeQuant automatically crops the image to the content above the fold. You can adjust where the fold cuts off, up to a point.
The bottom line? Submit designs to EyeQuant in screen-sized segments, the way visitors will view it. Analyze full-page designs in separate sections, as would be visible on the screen for various devices.
EyeQuant is based on user research on digital designs, primarily web pages. It can also be useful for other forms of marketing (print, email, digital user interfaces, etc). There are, however, some digital designs which are not well-suited for analysis with EyeQuant. For example, we do not recommend analyzing:
On the new analysis page within the app there’s an option to toggle between a ‘Desktop Analysis’ and ‘Mobile Analysis’. Simply toggle on the ‘Mobile Analysis’ option before uploading a design or entering a URL.
We recommend using the ‘Desktop Analysis’ model for for tablet designs; we don’t currently offer a dedicated prediction model for tablet designs.
You can also use the Browser Extension for analyzing mobile designs.
You can analyze up to 5 images at a time, or you can analyze up to 5 URLs at a time by using EyeQuant’s Advanced Uploader.
On the analysis results screen, you’ll notice an option to view results for an ‘Engaged Visitor’ or a ‘New Visitor’. They model visitors with different intents – one has the intent to purchase, the other wants to learn more:
The “Engaged Visitor”
This model is based on data from experiments featuring goal-orientated tasks. Participants were asked to complete a specific goal, as a result, they instinctively looked for cues on how to fulfil their intent. We recommend using the ‘Engaged Visitor’ view when analyzing goal-orientated pages like product pages, booking systems, shopping cart pages etc. to visualise how visible key call to actions are.
The “New Visitor”:
This model was based on data from experiments where participants were not given a specific task to complete. We recommend using the ‘New Visitor’ view to analyse pages designed for information gathering purposes like blog posts, homepages and social media. This model can help you optimize the placement and appearance of key information.
EyeQuant’s Browser Extension currently works for Chrome browsers only. To connect the extension, visit the Account Page in your EyeQuant App. From there you’ll be able to install the extension to your Chrome Browser. Once you’ve connected the extension, you’ll be able to analyze any live webpage, exactly as you see it in your browser. This gives you full control over what is analyzed: remove pop-ups and cookie notifications, analyze below-the-fold segments, landing pages, etc. You can also analyze mobile responsive pages, and mobile pages more easily.
Of course we do! Create deep integrations into your products, allowing your customers to gain instant insights into how humans perceive designs and other graphical assets. Take a look at our API documentation to see how you can generate visual attention heatmaps, analyze mobile web designs, calculate subjective perception scores, and more.
Read more: https://eyequant.readme.io/docs.
There are several ways to download results from EyeQuant. You can download the individual PNG image files for the following maps:
Alternatively, you can download the full results in a PDF, PPT, or ZIP file. Here are the different ways to download results:
The images below depict the different download options.
Pro-tip: do you want to the overlay image of an individual map? You can simply click and drag the map from EyeQuant onto your desktop, and you’ll get an image file like these:
You can share a single result with anyone, even if they don’t have an EyeQuant account. This makes it easy to share analyzes with decision makers, colleagues, and clients.
To share an Analysis result, click the ‘ Share with‘ button on the Results Page:
Once you click the “Share with” button, you’ll be given the option to create a public link to these particular results. Anyone with the link will be able to view the results. You can disable the link at any time by clicking the trash can button (bottom right) in the “Share with” pop-up window:
The link will direct users to a “read only” version of the single result. That means users can view each of the different maps, but they will not see any of your account information, nor will they be able to edit the Regions of Interest. Here’s an example of what users will see with the public link:
The easiest way is to message us from within EyeQuant. We’ll get back to you as quickly as possible. Specifically, if you need assistance with your analyzes , if you have any questions related to the product, or need help with your subscription details (including plan changes) you can contact.
An Account Admin can add or remove users anytime from the Account Page. Not an Account Admin? You can request permissions from the Admin for your account. You can also contact us for help (for instance, if the Account Admin is no longer with the company).
To view how many analyzes you have left for the month, visit your Account Page in the EyeQuant App. You’ll be able the view your account type and the amount of analyzes remaining for the current month.
If you run out of analyzes, or don’t have enough to complete your project, we’re usually able to work with you on a case-by-case basis. If you regularly run out of analyzes each month, it may be time to upgrade your account!
Any time you use EyeQuant to analyze an image file or URL, it counts as 1 analysis. Anytime you use the Browser Extension, it counts as 1 analysis. If you analyze a page or design in different resolution sizes, it will count 1 analysis for each different resolution size. For example, if you analyze a design for a desktop resolution, a laptop resolution, and a mobile resolution, it will count as 3 analyzes.
If you analyze something you didn’t intend, or if you don’t want other members of your account to see the results you can use the delete function. You can delete a single analysis, or multiple analyzes at a time. You can even delete entire projects.
If you need to make changes to your subscription, please contact support@eyequant.com. If you’re not sure whether you need to make changes to your subscription, a member of the team will be more than happy to talk to you about your options.
Not yet, but we’re working on it. EyeQuant analyzes static images, so it won’t pick up on the motion in videos or animation.
Not yet. The EyeQuant results will help you to visualize whether or not your design objectives are being met, and will help you identify areas for improvement. Since each design has different objectives, it’s ultimately up to you to determine whether your design is successful at leveraging attention. You will determine if the clarity needs to be improved, and if the site is stimulating or calm enough for your visitors.
The EyeQuant algorithm was built from user data consisting of various cultures and demographics, and there were no significant differences before the 3-5 second timeframe when visitors first land on a page.
However, we don’t recommend using EyeQuant for pages written in languages that read in a downward or right-to-left pattern (e.g. Hebrew, Mandarin, traditional Japanese)
Heat maps are nothing more than a method for visualizing data, and there’s zero insight until you understand what data you’re visualizing. In other words heat maps aren’t data, they present data. Here are some examples of different types of heat maps (different data):
The EyeQuant heat map is based on attention data, which is significantly different than a mouse-click heat map. For example, EyeQuant indicates where visitors first look, versus where they click, or hover their mouse.
We wrote an in-depth article about different types of heat maps, and what sets EyeQuant apart from the rest.
Of course! EyeQuant can be used for any type of webpage, and can also be used on newsletters, marketing emails, printed articles, and more!
Yes. In order to analyze product packaging, the product image should take up the entire screen, to simulate the product itself taking up the entire screen. Here’s an example:
—
We accept payment by bank transfer or credit card. The instructions for each payment method is as follows:
Bank Transfer Payments
If you would like to pay your invoice by bank transfer, please direct your payment to:
Beneficiary: WhiteMatter Labs GmbH
Bank: Berliner Sparkasse
IBAN: DE80 1005 0000 0190 4996 30
BIC: BELADEBEXXX
Credit Card Payments
If you would like to pay your invoice by credit card, you can enter the card information into the Payment Details section on the Account page. Your card will be charged automatically every time we issue an invoice. Please note that we accept VISA, Mastercard and American Express credit cards.
If you have any questions regarding your invoice or payments, please send an email to billing@eyequant.com.
To request a copy of a previous or current invoice, please send an email to billing@eyequant.com.