---
title: "Homepage Attention Study Example: What It Reveals"
description: A homepage attention study example shows how webcam eye tracking reveals missed calls to action, confusing hierarchy, and fixes teams can test quickly.
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---

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# Homepage Attention Study Example: What It Reveals

 24 Sep 2026

![Picture of Adam Cellary](https://insights.realeye.io/hs-fs/hubfs/adam-profile-email.jpg?width=40&name=adam-profile-email.jpg) [Adam Cellary](https://insights.realeye.io/author/adam-cellary)

![](https://afocirmbqdxnkyescnev.supabase.co/storage/v1/object/public/featured-images/5391a25c-9606-41a5-b4f6-70e4f821d403/workflows/6661cb60-bbc6-4a11-bbad-e6190be1f55d.webp)

A homepage has seconds to establish relevance, communicate value, and give visitors a clear next step. This **homepage attention study example** shows how remote eye tracking can reveal the gap between what a team intends users to notice and what users actually see.

The scenario is illustrative, but the workflow reflects a practical research approach for UX, marketing, and insights teams. It is especially useful when a homepage has high traffic but underperforming conversion, unclear product positioning, or competing messages above the fold.

## The business question behind the study

A B2B software company had recently redesigned its homepage. The new page featured a large hero image, a headline describing the platform, a primary “Start Free Trial” button, a secondary “Watch Demo” link, customer logos, and a promotional banner at the top of the page.

The team had three questions. Did visitors notice the primary call to action? Did they understand the product offer quickly? And was the visual hierarchy directing attention toward the content most likely to support a trial signup?

Website analytics could show where users entered, scrolled, and converted. A usability test could uncover whether they could complete a task. Neither method alone could show which elements attracted visual attention first, how long they held it, or whether the main message was being overlooked. That was the role of the attention study.

## Study setup: testing the live homepage remotely

Researchers recruited 60 participants who matched the company’s target buyer profile. The sample was split between desktop and mobile users because the page design, viewport size, and browsing behavior differed substantially across devices.

Participants joined the study in their own browser and completed a standard webcam calibration. They were shown the live homepage and given a realistic prompt: “You are evaluating software that may help your team improve customer research. Review this page and decide whether you would want to learn more.”

The task was intentionally broad. Asking participants to “click the free trial button” would have forced attention toward the answer. The goal was to observe the natural path people took when forming a first impression.

The research team defined areas of interest around the promotional banner, headline, product image, primary call to action, secondary demo link, customer logos, and navigation. They combined eye-tracking outputs with survey questions, [click behavior](https://www.realeye.io/blog/behavioral-analysis), and page-scroll data. This gave the team both attention evidence and an explanation of what participants believed they were seeing.

## What this homepage attention study example found

The first result was striking: the promotional banner at the top of the page received early attention from most participants, even though it was not the company’s primary conversion message. Its contrast color and movement made it highly visible. However, participants spent little time reading it and rarely clicked it.

That distinction mattered. Visibility is not the same as value. An element can draw the eye while still distracting from the decision a page is designed to support.

### The headline was seen, but not understood

The heatmap showed strong attention on the headline, which initially seemed positive. Yet the post-task survey told a different story. Only 38% of participants could accurately describe what the company offered after viewing the hero section.

Fixation plots suggested why. Participants read the first half of the headline, moved to the visual, then scanned the navigation or banner before returning to the copy. The headline used broad category language, while the supporting sentence introduced several capabilities at once. People were looking at the message, but the message was not reducing uncertainty.

This is where attention data should be interpreted carefully. Low attention may indicate an element is hidden or irrelevant. High attention may indicate interest, confusion, or effort. Pairing gaze data with survey responses and task outcomes prevents teams from treating every hot area as a success.

### The primary call to action lost the competition for attention

The “Start Free Trial” button was positioned below the supporting copy. It was visually consistent with the brand, but it received fewer first fixations than the nearby “Watch Demo” link. On desktop, many participants looked at the product image before either action. On mobile, the primary button often appeared below the initial viewport.

The result was not that the trial button was invisible. Most participants eventually saw it. The issue was timing: it was not prominent when visitors were deciding what to do next.

Click behavior reinforced this finding. Participants who clicked “Watch Demo” often expected an immediate product overview, while the destination required additional navigation. Several described the homepage as “interesting but not immediately clear.” The friction was not caused by one poor button. It came from a hierarchy that made the lower-commitment route feel more obvious than the intended next step.

### Customer logos reassured visitors at the right moment

The customer-logo strip received relatively brief attention, but it appeared in the visual path of participants who had already read the hero message. In follow-up responses, those participants were more likely to describe the company as credible.

This is a useful reminder that an element does not need long dwell time to perform well. Logos are often scanned rather than read. Their contribution may be reassurance rather than deep engagement. Removing them simply because they do not dominate a heatmap would be a poor decision.

## Turning findings into a testable redesign

The research team did not treat the results as a reason to redesign every component. Instead, they identified the smallest set of changes most likely to improve message clarity and conversion focus.

First, they replaced the broad headline with a more specific outcome-led statement. The revised supporting copy named the primary audience and explained the product’s main value in one sentence. Second, they removed animation from the promotional banner and reduced its contrast so it remained available without competing with the hero.

Third, they placed the primary call to action closer to the headline and gave it stronger visual distinction. The secondary demo action remained, but was repositioned as supporting information rather than an equal choice. On mobile, the team ensured the primary action appeared within the first screen view.

The product visual was also adjusted. The original image was aesthetically strong but did not explain the product. The replacement showed a recognizable workflow with a short caption, helping participants connect the message to a tangible capability.

These changes were then tested in a follow-up study using the same audience profile and tasks. A repeatable remote workflow made it possible to compare attention patterns between versions rather than relying only on stakeholder preference.

## Metrics that made the decision easier

For a homepage study, no single metric tells the whole story. The most helpful measures were time to first fixation on the headline and call to action, percentage of participants who viewed each area of interest, total dwell time, and revisit patterns.

The team also reviewed fixation plots for a subset of individual sessions. [Aggregate heatmaps](https://www.realeye.io/blog/post/attention-measurement-with-eye-tracking-k-coefficient) quickly identified broad patterns, while individual paths showed whether the pattern came from confident scanning, repeated searching, or distraction. This distinction is particularly valuable when a page has dense copy, multiple calls to action, or an animated component.

Survey responses supplied the final layer. Participants were asked what they believed the company did, which action they would take next, and how confident they felt in that choice. A homepage is not successful merely because people look at the intended elements. It succeeds when attention supports understanding and a credible next step.

## When to use this approach

A homepage attention study is most useful before a major redesign, after a conversion drop, or when internal teams disagree about page hierarchy. It can also help validate campaign landing pages, pricing-page entry points, and homepage variants for different audiences.

[Remote webcam-based eye tracking](https://www.realeye.io/about/faq) is a practical fit when teams need feedback across geographies, want to include desktop and mobile participants, or need results without scheduling an in-person lab. Platforms such as RealEye can support this workflow in a browser, from study setup and participant recruitment to visual attention analysis and exports.

There are trade-offs. Webcam eye tracking is well suited to understanding page-level attention patterns across a scalable sample, but it should not be presented as a clinical measurement of every tiny eye movement. For small interface controls or high-stakes accessibility decisions, combine it with moderated usability sessions, accessibility review, and behavioral analytics.

The next useful question is not “Did visitors look at our button?” It is “What did they understand before they looked away?” Build your homepage study around that question, and the findings will give your team a clearer basis for the next design decision.

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## Adam Cellary

## Related posts

Search [How to Collect Remote Gaze Data at Scale](https://insights.realeye.io/collect-remote-gaze-data)

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