Ecommerce Heatmaps: How to Use Click and Scroll Data to Improve UX
How to use click maps, scroll maps and recordings on product pages, homepages, navigation and carts, and turn observations into testable hypotheses.
Quick answer
Ecommerce heatmaps show where visitors click and how far they scroll on your pages. Use them, split by device, to check whether shoppers reach important information and click what they expect to be clickable. Watch for rage clicks and dead clicks that signal frustration or broken elements. Heatmaps show behaviour, not intent, so treat every observation as a question. Check it against funnel analytics and session recordings, turn it into a hypothesis, and fix or test the change. Configure tools to respect consent and mask personal data.
What Heatmaps Show
A heatmap aggregates many visits into a single picture of interaction. It's quick to read and good at surfacing surprises: an ignored button, a popular image that isn't clickable, a key message few people scroll to. What it can't show is why. For the limits in detail, see what heatmaps can and can't tell you.
| Type | Shows | Good for |
|---|---|---|
| Click or tap map | Where visitors click or tap | Ignored CTAs, clicks on non-clickable elements |
| Scroll map | How far down visitors scroll | Whether key information is seen |
| Mouse movement map | Where the pointer moves on desktop | A rough, weak proxy for attention |
| Attention or predictive map | Model-based estimates of attention | Early design reviews; treat with caution |
Click Maps
Click maps reveal what visitors try to use. Many clicks on product images may mean shoppers want zoom or more images; clicks on text that isn't a link suggest they expect more information; few clicks on a size guide link may mean it's hard to notice. Remember that a heavily clicked element isn't necessarily helpful; it might be confusing.
Scroll Maps
Scroll maps show the share of visitors who reach each part of the page. If delivery information, reviews or the add-to-cart button on mobile sit below the point most visitors reach, move them up or summarize them near the top. A steep drop at one point can signal a false bottom, where the page looks finished.
Mobile vs Desktop Heatmaps
Always split heatmaps by device. Mobile layouts stack content, so scroll depth and tap patterns differ completely from desktop. A combined heatmap averages two different pages into one misleading picture.
Heatmaps by Page Type
| Page | What to look for |
|---|---|
| Product page | Gallery interaction, variant and size guide clicks, scroll to reviews and delivery info, CTA clicks |
| Homepage | Which category routes and hero actions get used; scroll depth to key sections |
| Navigation | Menu items clicked vs ignored; search usage |
| Category page | Filter use, sort use, how far shoppers scroll the grid |
| Cart | Clicks on costs, promo field, checkout button and cross-sells |
| Landing page | Whether visitors reach the offer and the primary action |
Rage Clicks and Dead Clicks
Some tools flag frustration signals automatically. Microsoft Clarity's documentation defines rage clicks as multiple rapid clicks in a clustered area and dead clicks as clicks with no visible response; it also flags excessive scrolling and quick backs. These are useful for finding broken buttons, slow responses and elements that look clickable but aren't. Filter recordings to these events to see what happened.
Have heatmaps but no clear next steps?
ZSpace combines heatmaps, recordings and analytics into prioritized hypotheses, and tests the ones that matter.
Session Recordings
Recordings show individual journeys: hesitation, backtracking, errors and rage clicks in context. Don't watch at random. Filter to the stage where your funnel leaks, such as sessions that viewed a product but didn't add to cart, and watch enough to see patterns.
Combining Heatmaps With Analytics
Use analytics to decide which pages and segments to study, heatmaps and recordings to see behaviour, and user research to learn why. A low add-to-cart rate on mobile product pages (analytics), a scroll map showing few visitors reach delivery information (heatmap), and recordings of shoppers hunting for delivery costs together make a strong case. See ecommerce conversion funnel.
Limitations
- Heatmaps show behaviour, never intent
- Low-traffic pages produce unstable patterns
- Carousels, pop-ups and sticky elements distort the picture
- Personalized or dynamic content differs between visitors
- Bots can contaminate data if not filtered
- Mouse movement is a weak proxy for attention
- Predictive attention maps are models, not observations
Privacy Considerations
Collect behavioural data only with the consent your markets require, and configure masking so personal data and form inputs aren't captured. Clarity, for example, masks sensitive content by default and always masks input boxes. Review which pages you record, avoid account and payment pages where possible and document the setup in your privacy policy.
From Observation to Hypothesis
The diagram above shows the workflow: heatmap, recordings, analytics, hypothesis, test, analysis. Write each finding in the same shape.
| Observation | Question | Hypothesis |
|---|---|---|
| Mobile scroll map: few visitors reach delivery info | Are shoppers leaving without knowing delivery cost? | Showing delivery cost and date under the button will increase mobile add-to-cart rate |
| Many clicks on non-clickable product images | Do shoppers want to zoom? | Adding tap-to-zoom will reduce exits from the gallery |
| Dead clicks on a size swatch | Is the swatch broken or unclear when sold out? | Marking sold-out sizes clearly will reduce dead clicks and support questions |
Common Heatmap Mistakes
- Combining mobile and desktop
- Treating clicks as proof of interest
- Drawing conclusions from tiny samples
- Ignoring dynamic elements that change the layout
- Recording sensitive data without masking
- Stopping at observations instead of forming hypotheses
Want to turn behaviour data into better UX?
Talk to ZSpace about a CRO audit and UX improvements based on heatmaps, recordings and testing.
Conclusion
Heatmaps are a fast way to see how shoppers use your pages, and a poor way to decide what they mean on their own. Split by device, focus on pages where the funnel leaks, combine with recordings and analytics, respect privacy and turn observations into hypotheses you can fix or test. See ecommerce A/B testing for the next step.
Common questions
A visual summary of how visitors interact with a page, such as where they click or tap and how far they scroll, shown as colours over the page layout.