Heatmap

A visual analytics tool that displays user interaction data — such as where people click, how far they scroll, and where their mouse moves — as color-coded overlays on a web page, with hotter colors indicating higher activity.

Updated June 9, 2026

TL;DR

Heatmaps show you where users click, how far they scroll, and where their attention goes on a page. They reveal whether users are finding your CTA, reaching your important content, or getting stuck — far more actionable than aggregate session metrics.

Key Points

Three main heatmap types: click maps (where users click), scroll maps (how far users scroll), and move maps (where mouse hovers, which correlates with eye tracking)

Scroll maps often reveal that most users never see content below the fold — a common reason for low [[conversion-rate|conversion rates]] on pages with bottom-positioned CTAs

Click maps identify 'rage clicks' (repeated clicking on non-interactive elements) — a sign of frustrated users who expect something to be clickable

Heatmap tools include: Hotjar, Microsoft Clarity (free), Lucky Orange, and Mouseflow

Types of Heatmaps and What They Reveal

Different heatmap types answer different questions about user behavior[1]. Click maps show where users click — useful for identifying whether users are engaging with important CTAs, clicking on non-clickable elements (confusion), or ignoring key page sections. Scroll maps show how far users scroll before leaving — the most common finding is that 50-70% of users never scroll past the fold, meaning content placed below the fold is seen by a minority. Move/hover maps show where mouse cursor goes — research shows 88% correlation between cursor position and eye tracking on desktop, making this a proxy for attention. Rage click maps (offered by Hotjar and Clarity) specifically highlight where users click repeatedly in frustration — these spots need immediate investigation for broken elements or unmet expectations.

Using Heatmaps for SEO and CRO

Heatmaps bridge the gap between analytics data and user experience insights[1][2]. If organic traffic is high but conversion rate is low, heatmaps reveal why: is the CTA in the scroll-dead-zone? Are users clicking on images expecting them to be links? Is navigation drawing attention away from the main content? For content pages, scroll maps are critical — if 90% of users leave before scrolling to the main argument of a long article, the introduction needs to better establish value early. If users are clicking on a heading expecting it to link to more information, add an internal link. Session recordings (often paired with heatmaps in tools like Hotjar) let you watch actual user sessions to see exactly what caused a user to leave or convert.

Setting Up and Interpreting Heatmaps

Microsoft Clarity is the best starting point for heatmaps — it's completely free with unlimited sessions and integrates directly with Google Analytics 4[2]. Set up requires adding a small JavaScript snippet to your site's ``. Collect at least 1,000 sessions on a page before drawing conclusions from heatmap data — small sample sizes produce misleading patterns. Segment heatmaps by device type (desktop vs. mobile) separately since click and scroll behavior differs dramatically. Segment by traffic source — organic search visitors often behave differently than paid or social visitors because of different intent. Run heatmaps on your highest-traffic landing pages and key conversion pages first, where improvements have the greatest impact. After implementing changes based on heatmap insights, run A/B tests to confirm the change improves conversion rate rather than just anecdotally changing click patterns.

Put it into practice

Skribra automates your SEO content pipeline — from keyword research to published articles — so you can apply these concepts at scale.

Try Skribra Free