A visitor arrives on your page. They look for something to click. Maybe they're searching for pricing. Maybe they want to contact you. Maybe they want to sign up. They scan the page. They find something that looks clickable and click it. A click heatmap records every click. Where they click. What they click. Even what they try to click that isn't actually clickable. This last part is crucial. When visitors click something non-clickable, it reveals they expected it to be clickable. That expectation mismatch reveals design problems. Click heatmaps turn clicks into understanding.
This article explains how click heatmaps work and what they reveal.
What Click Heatmaps Show
Click heatmaps visualize where visitors click. Every click gets recorded and aggregated. Buttons that get clicked light up in red. Buttons that get no clicks appear blue. The intensity of color shows click frequency.
Click heatmaps show both successful and failed clicks. A visitor might click a button. That's a successful click. They might click text that isn't a link. That's a failed click. Both appear on the heatmap.
Click heatmaps are page-specific. You see one page at a time. Each page shows its own click patterns. A homepage heatmap is different from a product page heatmap.
Identify Missed Opportunities
A button gets no clicks. Why. Maybe it's unclear. Maybe it's in the wrong place. Maybe visitors don't read it. A click heatmap shows the button is blue. Zero activity. This tells you the button isn't working.
Sometimes the answer is visibility. A button below the fold gets fewer clicks than one above the fold. Moving it above the fold might help. Sometimes the answer is clarity. A button labeled "Learn More" gets fewer clicks than "See Pricing." Wording matters.
Sometimes the answer is competition. Multiple buttons compete for attention. Visitors click one but not others. Maybe the others should be removed. Maybe they should be de-emphasized.
Find Clicks on Non-Clickable Elements
Visitors click text that isn't a link. They click images that aren't buttons. They try to interact with elements that aren't interactive. These false clicks reveal expectations.
A visitor sees an image and tries to click it. They expected it to open a larger version or take them somewhere. But it's not clickable. This mismatch reveals a design opportunity. Maybe the image should be clickable. Maybe it needs a label saying "non-clickable."
False clicks are golden data. They show what visitors want to do but can't. Implementing these clicks often improves engagement.
Understand User Intent From Clicks
Where visitors click tells you what they want. Lots of clicks on pricing tells you visitors care about price. Lots of clicks on contact form tells you visitors want to reach you. Clicks reveal intent without asking.
This intent data guides decisions. If visitors click pricing heavily, maybe pricing should be more prominent. If they click contact, maybe the contact form should be easier to find.
Compare Click Patterns Across Pages
The same button on different pages might have different click patterns. A signup button on the homepage might get 10 percent clicks. The same button on a pricing page might get 30 percent. The difference is context. Pricing page visitors are more ready to sign up.
Understanding these differences helps optimize each page. A homepage needs more warm-up. A pricing page can be more direct.
Test Changes With Click Heatmaps
After you change a page, use click heatmaps to measure impact. Did you move the button. Check if clicks increased. Did you change the button text. Check if clicks changed. Click heatmaps show if your change worked.
Before and after heatmaps tell a story. The before shows the problem. The after shows the fix. This data supports A/B testing decisions.
Frequently asked questions
Does a high click count mean the button is good?
Not necessarily. High clicks might mean the button is hard to find so visitors click it multiple times. Or it might mean lots of visitors want that action. Context matters. Combine with other data. With WEMASY's website builder, you can set this up directly on your website.
Should we remove buttons that get no clicks?
Not immediately. Investigate first. Is the button unclear. Is it in the wrong place. Try improving it before removing it. Sometimes a better label or placement fixes it.
Can we see which visitors clicked what?
Click heatmaps show aggregate behavior, not individual journeys. For individual behavior, use session recordings. Heatmaps show the forest. Recordings show the trees.
Do accidental clicks distort heatmaps?
Somewhat. An accidental click still appears as a click. But accidental clicks are usually rare compared to intentional ones. Patterns still emerge clearly.
Should we make all clicked elements more prominent?
Not necessarily. Some clicks are mistakes. Some are exploratory. High clicks don't always mean importance. Use clicks alongside other data to decide prominence.
How do we handle clicks on non-clickable elements?
These are opportunities. Either make the element clickable or make it clear it's not clickable. False clicks reveal what visitors expect. Fulfilling those expectations improves experience.