Back to Blog
تحلیل 2 min 3 98

Conversion Analysis with Heatmaps

Find user drop-off points using click and scroll heatmaps

نقشه حرارتی تحلیل تبدیل

تیم دیدکا

تیم محتوای دیدکا؛ آموزش تجربه کاربر و تحلیل رفتار.

Heatmaps translate raw user interaction data into visual overlays that reveal exactly how visitors engage with your pages. By coloring high-activity areas in warm tones and low-activity areas in cool tones, heatmaps make it immediately obvious where users click, how far they scroll, and which content they ignore. In this article, you'll learn how to use heatmap data to improve your conversion rates.

Click Heatmaps

A click heatmap shows every click on a page, with hotter colors indicating more clicks in a given area. This reveals critical insights: are users clicking on elements that aren't links (indicating confusion), or are they ignoring your main call-to-action button?

Common findings include users clicking on images that look clickable but aren't, clicking on non-interactive text that looks like a link, or missing your primary CTA because it blends into the background. Each of these patterns represents an opportunity to improve your page design and increase conversions.

Scroll Heatmaps

Scroll heatmaps show how far down the page users scroll and where they stop. The "fold" — the point where users stop scrolling — is one of the most important metrics for content placement. If your most important content or call-to-action is below the fold, many visitors will never see it.

A typical scroll heatmap shows 100% of visitors at the top of the page, dropping to 70-80% by the middle, and often below 30% near the bottom. Understanding this distribution helps you place critical elements where they'll actually be seen.

Identifying Drop-off Points

By combining click and scroll data, you can identify exactly where users lose interest or encounter friction. For example, if a large percentage of users scroll to your pricing section but few click the signup button, the issue might be with your pricing presentation rather than the page layout.

Similarly, if users click heavily on a non-clickable element that looks interactive, you're losing potential conversions to confusion. Fixing these usability issues often yields immediate improvements in conversion rates.

Combining with Session Replay

Heatmaps show the aggregate picture, but session replay shows the individual story. When you spot a pattern in your heatmap — like users repeatedly clicking on a non-interactive element — use session replay to watch specific users encountering that issue. This combination of macro and micro analysis gives you both the diagnosis and the detailed evidence needed to justify design changes. For a practical guide on using session replay to improve UX, see Improve UX with Session Replay.

Conversion Analysis with Heatmaps | didka