What is a Heatmap? Types, uses, and best tools (2026).

Updated July 29, 2026: This post has been updated to reflect how enterprise teams use heatmaps in 2026. We've added a tool comparison table covering the leading heatmap platforms, expanded the heatmap types section to include attention maps and mobile app heatmaps, and added a new section on how scroll maps and click maps connect to conversion outcomes. The summary has also been revised to reflect Quantum Metric's native heatmap capabilities, including unsampled data, revenue quantification, and converter vs. non-converter segment filtering.

Website heatmaps turn user behavior into something you can see. Instead of relying on aggregate metrics alone, heatmaps show exactly where visitors click, how far they scroll, and where they spend the most time on a page. That makes them one of the most practical tools for product, UX, marketing, and analytics teams working to improve digital experiences and conversion..

This guide covers how heatmaps work, the different types, and why they belong in your analytics toolkit.

Below, we discuss what website heatmap tools are, how they work, the different types, why they are used, and what a good heatmap tool provides:

What are website heatmaps?

A website heatmap is a visual analytics tool that uses color to show how users interact with a website.

Warmer colors indicate areas of high activity. Cooler colors indicate areas users largely ignore.

By tracking where visitors click, how far they scroll, and where they move their cursor, heatmaps give teams a clear picture of what's drawing attention and what's being missed. Modern heatmap tools can also tie these interactions to user segments and outcomes, helping teams understand not just where users engage, but which behaviors drive conversion or friction. That makes it easier to optimize page layout, content placement, and design decisions based on actual user behavior rather than assumptions.

How do heatmaps work?

Heatmaps work by collecting user interaction data through a tracking script installed on your website or app. Every time a user clicks, scrolls, or moves their cursor, that action gets recorded and mapped to a specific location on the page.

Once enough data is collected, the heatmap tool aggregates those interactions and overlays them on a visual representation of the page. Areas with high activity show up in warm colors like red and orange. Areas with little or no activity appear in cooler colors like blue and green.

The result is a visual summary of how hundreds or thousands of users interacted with a page, without having to watch every session individually. That makes heatmaps one of the most efficient ways to spot patterns in user behavior at scale. In more advanced platforms, this data can be filtered by segment, such as device type, traffic source, or converters vs. non-converters. This way, teams can isolate meaningful patterns instead of averaging all users together. Some tools also allow teams to generate heatmaps retroactively from captured session data, removing the need to preconfigure tracking in advance.

Types of heatmaps.

A website heatmap comes in a few different forms, each focused on the different ways users interact with your website. Most heatmap software platforms will provide the most essential types of heatmap tools. Here are some basic heatmap types:

Scroll maps

Scroll maps show how far users move down a page, using color gradients to mark high-visibility areas and common drop-off points. Quantum Metric includes scroll maps natively, helping teams place key content and calls to action where users are most likely to see them.

Click maps

Click maps show where users click on desktop pages or tap on mobile experiences, including interactions with links, buttons, and non-clickable elements. Quantum Metric includes click maps natively, providing a behavior snapshot of which elements attract engagement or cause confusion.

Hover maps

Hover maps, also called move maps, track cursor movement and hover time to indicate possible interest, hesitation, or confusion. Quantum Metric does not provide hover maps as a standalone native heatmap type; its attention maps combine these signals with cursor position for broader analysis.

Attention maps

Attention maps aggregate gaze-like data by combining mouse movement, hover time, and cursor position to show which page zones receive the most focus. Unlike click maps, which capture click events, Quantum Metric’s native attention heatmaps show where users may be reading, considering, or hesitating without clicking.

Frustration or rage click maps

Frustration or rage click maps highlight friction points such as repeated clicks, rapid clicks, and dead clicks on unresponsive or non-interactive elements. Quantum Metric identifies these behaviors through native friction analysis rather than a separate rage click heatmap type.

Zoned heatmaps

Zoned heatmaps group page elements into defined areas, such as navigation, banners, product grids, and calls to action, to provide a component-level behavior snapshot. Quantum Metric does not offer zoned heatmaps as a separate native type, but teams can analyze engagement with specific elements through its interaction data.

Mobile app heatmaps

Mobile app heatmaps capture touch interactions, swipe patterns, and tap targets on native app screens. Quantum Metric captures mobile app heatmaps natively without requiring a separate SDK or third-party tool.

Best heatmap tools for enterprise teams.

The tools below differ in audience, heatmap coverage, and integration with session replay.

Quantum Metric analyzes 100% of sessions with no sampling, supports mobile app heatmaps, and ties revenue quantification directly to heatmap data. Felix AI provides agentic analysis within the platform, so enterprise teams do not need a separate heatmap tool.

How scroll maps and click maps improve conversion.

Scroll maps reveal drop-off points, the fold line, and where users stop engaging with a page. Click maps provide behavior snapshots that expose friction points, including dead clicks and attention directed away from conversion paths.

Scroll maps show where users stop reading.

Scroll map data shows how far users move down a page and where engagement declines. This identifies content, offers, and calls to action placed below the fold that users never reach. If a CTA sits below the point where 60% of users stop scrolling, that is a revenue problem—not a design preference.

Click maps expose lost conversion intent.

Click maps show where users click, including dead clicks on non-interactive elements. They also reveal misplaced attention, such as repeated clicks on an image instead of the intended CTA. These patterns signal broken UX and lost conversion intent, giving teams specific elements and page areas to investigate.

Quantum Metric lets teams filter heatmaps by converters and non-converters to compare where successful users click with where abandoning users click. It also ties revenue quantification directly to heatmap interactions, making the dollar value of a friction point visible rather than estimated. With no sampling, Quantum Metric captures 100% of sessions instead of relying on a statistical approximation.

Teams that use Quantum Metric's heatmap data alongside session replay can trace a dead click to a revenue drop without switching tools.

Why should you use a web page heatmap tool?

Heatmaps add a layer of visual context that most analytics tools can't provide on their own. Here's where they deliver the most value.

Track user behavior.

Most analytics tools tell you what users did. Heatmaps gives you a peek into their experience while they did it. They reveal how intuitive your design is, whether your content is landing, and whether users are finding their way to conversion. That qualitative layer is what helps teams move from "conversion dropped" to "users aren't seeing the CTA because it's below the scroll fold."

Make data-driven decisions.

Heatmaps work best when combined with other digital analytics data. Together, they give teams a fuller picture of how a page is performing, not just in aggregate metrics, but in the specific interactions that drive or undermine those numbers. That leads to more precise improvements and more confident prioritization.

When tied to business metrics like conversion rate, revenue, or error impact, heatmaps also help teams prioritize fixes based on real business outcomes, not just visual engagement.

Heatmaps are also increasingly part of broader digital experience analytics platforms rather than standalone tools. Instead of using separate solutions for heatmaps, session replay, and analytics, many teams are consolidating these capabilities into a single platform. This reduces data silos, improves workflow efficiency, and makes it easier to connect user behavior directly to business outcomes. This is difficult to achieve with disconnected point solutions.

Test new features or website pages.

When launching a redesign or testing a new feature, heatmaps help teams validate whether changes are working the way they intended. In A/B testing, scroll and hover maps can show whether a new page element is actually engaging users, or whether it's being ignored entirely.

Heatmaps vs. session replay: What's the difference?

Heatmaps and session replay both help teams understand user behavior, but they answer different questions.

Heatmaps aggregate behavior across many users into a single visual. They're best for spotting patterns at scale, like whether most users are missing a CTA or dropping off before key content.

Session replay shows individual user journeys in real time, capturing exactly what a specific user saw, clicked, and experienced during a session. It's best for diagnosing specific problems, like why a particular user abandoned checkout or repeatedly clicked a non-interactive element.

The two work best together. Heatmaps surface the pattern. Session replay helps explain it.

In platforms like Quantum Metric, these capabilities are fully connected, allowing teams to move from a heatmap pattern directly into the exact sessions, segments, and business impact behind it without switching tools.

Improve your website with heatmaps and other analytics tools from Quantum Metric.

Heatmaps are most powerful when they're connected to the rest of your analytics stack. Quantum Metric ties heatmap data directly to behavioral analytics and business impact, so teams don't have to stitch together insights from separate tools. Because Quantum Metric captures complete session data, teams can generate heatmaps on demand, without needing to predefine which pages or elements to track.

Instead of seeing where users clicked in isolation, you can connect that behavior to session replay, funnel data, and revenue impact in one place. This allows teams to quickly move from identifying a pattern to understanding its root cause and quantifying its business impact.

If you want to discover how Quantum Metric’s heatmap and data analytics features can help your business, contact us or schedule a demo today.