Your users can’t convert what they never see
Why eye tracking should be part of your CRO toolkit -especially on pricing and comparison pages
We are obsessed with clicks. CTR.Conversion rate.Bounce rate.Scroll depth.Engagement.
We build dashboards to tell us what happened. Then we spend hours trying to figure out why.
There is one question that gets surprisingly little attention:
What did the user actually see before they made that decision?
Because a user cannot click what they didn't notice.
And they won't understand a pricing proposition they never visually processed.
This is where eye tracking becomes interesting for PPC, CRO and landing-page optimisation.
Not because another colourful heatmap looks good in a stakeholder presentation.
But because visual attention sits between your message and the action you want the user to take. And pricing pages are probably one of the best places to investigate it.
The problem with traditional CRO
Imagine your pricing page converts at 3.2%. You run an A/B test. Version B gets 3.5%.
Great.
But what actually changed? You know what won. You don't necessarily know why.
Maybe the new headline was clearer. Maybe the pricing structure reduced cognitive load.
Maybe users noticed the recommended plan faster. Maybe the CTA became easier to find.
Or maybe something completely unexpected happened. This is where behavioural analytics starts reaching its limits. Analytics can tell you that someone clicked.
Session recordings can show you what happened with their mouse. A usability interview can tell you what they say they noticed. Eye tracking gives you another piece of the puzzle:
where their visual attention actually went. That distinction matters.
Pricing pages are not normal landing pages
A typical landing page has one primary job:
Convince me to take the next step.
A pricing page has a much harder job.
The user is evaluating alternatives.
They are asking:
Which plan is right for me?
What do I actually get?
What am I giving up with the cheaper plan?
Is the price justified?
What happens if I choose the wrong plan?
How does this compare with another provider?
Is there something hidden?
Can I trust this company?
That's a lot of cognitive work. And the visual design is effectively guiding the decision process.
So I'd want to know: Are users following the visual journey we designed for them? Or are they creating their own?
Here's the experiment I'd actually run
Let's say you have three pricing plans:
Starter | Professional | Enterprise
Your business assumption is:
Professional is the sweet spot. So you make it visually prominent. You add a "Most Popular" badge. You give it stronger positioning. You put the CTA directly underneath. The conversion rate isn't great. The obvious reaction? "Let's make the CTA bigger." I wouldn't do that yet.
I'd test the page.
Give users a task:
"You need a solution for a 150-person company. Which plan would you choose and why?"
Then track the journey. Do they see Professional? How quickly? Do they compare it with Starter? Do they read the feature differences? Do they look at Enterprise? Do they return to the price? Do they look at the CTA?
And, crucially:
What happens immediately before they make their choice?
Now you aren't optimising a button.
You're investigating the decision process.
The metrics that actually matter
This is where eye tracking can become much more useful than simply looking at a heatmap.
Time to First Fixation
How quickly does the user look at an element?
If your key value proposition takes 8 seconds to receive its first fixation, that's worth investigating. Especially if the CTA is visually dominant but the proposition explaining why someone should click it is buried somewhere else.
Dwell time
How much time does the user spend looking at an area? A high dwell time can indicate interest. But don't automatically interpret it as positive. It can also indicate confusion.
That's why: high attention ≠ high comprehension.
Fixations
Fixations are periods during which gaze remains relatively stable. Looking at fixation patterns can help you understand how users process different areas of a page.
For example:
Do they quickly scan the pricing cards?
Or spend a long time trying to understand the differences between plans?
Revisits
This is particularly interesting on comparison pages. If users repeatedly return to the same feature row, price or plan, it could indicate that the information is important to their decision.
Or that they haven't understood it yet.
Again: the data gives you a signal. You still need context to interpret it.
Areas of Interest
AOIs are probably one of the most useful concepts for marketers.
Instead of asking:
"Where did everyone look?"
you define the areas that matter.
For example:
pricing
recommended plan
feature comparison
CTA
trust signals
customer logos
security messaging
competitor comparison
navigation
Then compare attention between those areas.
Tobii Pro Lab, for example, supports AOI-based metrics alongside fixation and saccade analysis.
That makes the data much more actionable.
And then there is the really interesting bit: gaze sequences
I think this is where marketers should become more interested.
Imagine your intended journey is:
Value proposition → pricing → differentiator → proof → CTA
But your users actually do:
Pricing → feature table → competitor comparison → pricing → FAQ → back to feature table
That's a completely different journey. Your page might technically contain all the right information. But the visual information architecture isn't supporting the decision.
And that's a CRO problem.
Not all "eye tracking" is the same
This is where the terminology can become confusing.
There are at least three very different approaches worth distinguishing.
1. AI-based attention prediction
This is the fastest and cheapest option. Tools analyse a design and predict where visual attention is likely to go.
You don't recruit participants.
You don't need hardware.
You can use it before launch.
My pick: EyeQuant
EyeQuant is particularly interesting for performance marketers because it sits much closer to the normal design workflow than traditional eye-tracking research.
You can upload a design and get attention maps and scores, including comparisons between variants. The current pricing page lists plans from $97/month, with higher tiers adding capabilities such as A/B comparison and additional analysis features.
This makes it useful for:
landing-page concepts
pricing-page redesigns
ad creatives
email designs
hero sections
alternative layouts
But there is an important distinction:
EyeQuant predicts attention. It doesn't observe your users.I would therefore use it as a pre-test, not as the final evidence.
2. Webcam-based eye tracking
This is much closer to conventional user research.
Participants use their webcam while interacting with your stimulus or website.
My pick: RealEye
RealEye supports webcam-based eye tracking for images, video and live websites and provides metrics and AOI analysis. Participants can use their own computer and webcam, which makes remote research considerably easier to organise than a traditional lab study.
And this is where the pricing becomes interesting.
RealEye currently lists:
Basic: $390/month20 own participants/monthup to 3-minute studies
Standard: $990/month300 own participants/monthup to 10-minute studies
Annual billing is lower: $3,900 and $9,900 respectively. RealEye also offers a custom tier for larger-volume research.
So this isn't necessarily an impulse purchase for a marketer wanting to test one landing page.
But for a CRO or UX research team running studies regularly, it's a very different proposition.
3. Hardware-based eye tracking
This is the serious research end of the spectrum.
Dedicated hardware gives you much more control over the measurement environment and can be appropriate when precision and research quality matter more than speed and convenience.
The obvious name: Tobii
Tobii Pro Lab is designed for experimental eye-tracking and behavioural research. It provides study design, recording and analysis capabilities, access to raw and processed data, and a range of fixation, saccade and AOI-based metrics. Tobii also now supports webcam-based online research within Pro Lab.
The important difference isn't simply:"Tobii is more accurate."
It's that the whole setup is designed for research-grade experimentation.
If you're running serious consumer research, behavioural studies or high-value UX research, that's a very different requirement from a marketer asking whether the CTA is being noticed.
Tobii currently offers a free 30-day Pro Lab trial, including example projects and recorded eye-tracking data for learning the software.
So which tool should a marketer actually use?
This is how I'd think about it.
Your question | I'd start with |
Does this design have obvious attention problems? | EyeQuant |
Which version attracts attention more effectively? | EyeQuant |
What do real users look at? | RealEye |
What do users look at on a live website? | RealEye |
Why do users make a particular decision? | Eye tracking + usability interview |
Do we need robust research-grade measurement? | Tobii |
Are we running ongoing UX research? | Tobii / specialist research setup |
The mistake is choosing the most sophisticated tool simply because it produces the most sophisticated data.
You don't need a research lab to find out that your CTA is invisible.
And you don't need an AI prediction model to answer a question that only real users can answer.
The stack I'd actually use
If I were responsible for CRO on a high-value website, I'd build this as a funnel.
Stage 1: Predict
Use something like EyeQuant to identify obvious visual-attention issues before spending money on recruitment or development.
Fast. Cheap.
Repeatable.
Stage 2: Observe
Use RealEye or another webcam-based approach with real users.
Give them realistic tasks.
Don't ask:
"Do you like this pricing page?"
Ask:
"You need to choose a plan for your company. Which one would you choose?"
That's a much better research question.
Stage 3: Ask
Now combine gaze data with qualitative research.
If someone spends a long time looking at your feature comparison:
Ask them why.
Was it important?
Confusing?
Missing information?
A perceived contradiction?
This is where eye tracking and usability research become much more powerful together.
Stage 4: Validate
Then go back to your behavioural data.
Did the change affect:
CTA interaction?
plan selection?
trial starts?
demo requests?
revenue?
lead quality?
Because ultimately: attention isn't the KPI. Conversion is.
What I would look for on a pricing page
Here's my personal checklist.
The first five seconds
What receives attention first?
Is that what you want users to see?
Or is your navigation, illustration or decorative element stealing the show?
The value proposition
Can users quickly connect:
What is this?
with
Why should I care?
If the pricing is visible before the value is understood, you may be asking users to evaluate a number without sufficient context.
The pricing cards
Are users actually comparing the differences you consider important?
This is especially important when you have several plans.
Your product team might care deeply about Feature X.
Your users might spend their time comparing Feature Y and the price.
That's valuable information.
The recommended plan
Don't assume that a badge makes a plan persuasive.
Measure whether users actually notice it.
And more importantly:
what happens after they notice it?
The CTA
Don't just measure whether it is seen. Look at when it is seen. A CTA that receives attention immediately isn't necessarily performing better than one that users reach after understanding the proposition. Sometimes the visual journey matters more than raw visibility.
Trust
Security badges.
Customer logos.
Testimonials.
Guarantees.
Certifications.
Reviews.
These elements can look great in a design review. But are they actually being seen?
And are they being seen before the decision point? That's the question I'd ask.
What not to do with eye-tracking data
There are three traps I would avoid.
Don't optimise for the biggest red blob
A heatmap isn't a recommendation engine.
It's a visualisation of behaviour.
The insight comes from the research question and the context around it.
Don't assume attention equals persuasion
Someone staring at your pricing table for ten seconds isn't necessarily a good thing.
They could be fascinated.
They could be confused.
They could be trying desperately to understand why your Enterprise plan costs four times as much.
You need qualitative or behavioural evidence to interpret the signal.
Don't optimise for attention at the expense of conversion
This one sounds obvious. But it happens. A designer makes an element more visually prominent. Eye tracking shows:
SUCCESS! Everyone sees it!
And conversion falls.
Congratulations.
You made the wrong thing more visible.
The objective isn't maximum attention.
It's the right attention at the right moment.
And this is where PPC/SEO/Content teams should care
For digital marketing people this isn't just a CRO topic.
Think about the entire journey:
Ad → Landing Page → Pricing → Conversion
You can have an incredible CTR and a terrible landing-page experience.
The ad made a promise.
The landing page needs to visually reinforce it.
If the user arrives expecting:
"Secure enterprise file sharing"
but the first thing they visually encounter is:
"Save 30% with annual billing"
you have a potential message hierarchy problem.
The traffic is doing exactly what you asked it to do.
The page isn't. Eye tracking can help expose that disconnect.
The best eye-tracking test isn't the one with the prettiest report
This is perhaps my biggest takeaway. I don't care if the final report has a beautiful heatmap.
I care whether it gives me a decision.
For example:
Finding
Users consistently look at the Professional plan but repeatedly return to the feature comparison before selecting another plan.
Hypothesis
The differences between Professional and Enterprise aren't sufficiently clear.
Change
Simplify the comparison and make the key differentiation explicit.
Test
A/B test the revised pricing architecture.
Business outcome
Measure plan selection, conversion rate and downstream revenue.
That's a proper optimisation loop.
Research → hypothesis → change → experiment → business result.
Eye tracking is simply one of the ways to make the first part considerably smarter.
The resources I'd bookmark
If you want to go deeper, I'd start here:
Nielsen Norman Group – Eye Tracking
One of the best resources for understanding study design, eye-tracking methodology, metrics, heatmaps and Areas of Interest without getting lost in academic jargon.
Tobii – Eye Tracking Guide
Useful for understanding the underlying concepts and terminology, including gaze behaviour and analysis.
EyeQuant
Particularly worth exploring if you're a marketer who wants to bring visual-attention testing into the normal design and CRO workflow.
RealEye
A practical starting point if you're interested in remote webcam-based eye-tracking studies.
Tobii Pro Lab
For teams that want to go deeper into research-grade eye tracking and behavioural analysis.
The question I'd ask before your next pricing-page redesign
Not:
"Where should we put the CTA?"
Not:
"Should we use three or four pricing tiers?"
And definitely not:
"Can we make this section pop more?"
I'd ask:
What do we want users to see, in what order, before they make the decision?
Then find out whether they actually do. Because your website has a visual sales funnel.
You just can't see it in Google Analytics. And sometimes the biggest CRO opportunity isn't hidden in your conversion data. It's hiding in plain sight.
Kommentare