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Glossary

Scroll Map

A scroll map is a type of heatmap that visualizes how far down a web page the average visitor scrolls, identifying where users stop reading or abandon the page.

Last updated: 2026-03-20

What is a scroll map?

A scroll map is a visual tool that shows how far down a page your visitors scroll. It is a type of heatmap focused on depth. The top of the page appears in warm colors because most visitors see it. Colors cool toward the bottom as fewer people scroll that far. A percentage label shows exactly how many visitors reached each point.[1]

Scroll maps answer a simple but critical question: are people actually seeing the content you placed lower on the page?

How do scroll maps work?

Scroll map tools use JavaScript to track the deepest point each visitor scrolls to during their visit. Scroll map tools collect this data across all sessions. Then they calculate what fraction of visitors reached each depth.

The key metric is scroll depth. It is measured in pixels or as a percentage of the total page height. Some tools also report the average fold. This is the point where a big drop in visibility happens, roughly matching the bottom of the screen on a typical device.[2]

Since phone screens, tablets, and desktops all show different amounts of content, good tools split results by device type. Mixing screen sizes into one average creates misleading data.

Why do scroll maps matter for large websites?

Scroll maps have special value for content-heavy organizations.

Government and public service sites often place important information deep in a page. If only 30% of visitors scroll past the first screen, that information is invisible to 70% of the audience. This is a problem when the buried content includes legal notices or safety warnings.

E-commerce sites that place "add to cart" buttons mid-page may lose sales if most visitors stop scrolling before reaching them.

Insurance and banking sites frequently use long landing pages with benefit details, disclaimers, and application forms. A scroll map reveals whether visitors actually reach the form. If they do not, restructuring the page could improve conversion rates.

Content teams use scroll maps to test whether readers finish long articles. Pairing scroll data with session duration shows whether visitors spend real time reading or just scroll through quickly. A 3,000-word guide that loses 80% of readers halfway through may need a shorter format or better structure.

How should you read scroll map data?

A typical scroll map shows a steep drop near the top. Some visitors bounce right away. After that, the decline is more gradual. Look for these key patterns:

Big drop at the fold. If most visitors stop scrolling after the first screen, the above-the-fold content is not giving them a reason to continue.

Sudden drop mid-page. This often points to a confusing section, a visual dead end, or a distracting link that pulls people away.

High scroll depth near the bottom. If visitors scroll to the very end, they are deeply engaged. This is a strong signal of reader intent, especially on conversion-focused pages.

Always read scroll maps alongside time-on-page and click data. A visitor can scroll through an entire page in seconds without reading it. Or they can spend minutes on the first section without scrolling further.[3]

What are the limitations of scroll maps?

Scroll maps average all visitors together. This can hide important differences. Organic search visitors (high intent) may scroll much deeper than social media visitors (browsing). Segmenting by traffic source gives more useful results.

Certain page features can distort the data. Infinite scroll, parallax animations, and anchor links that jump users mid-page all create misleading scroll depth numbers. IT teams should account for these when interpreting results.

How Askem Helps

Some analytics platforms include built-in scroll maps alongside page views and other traffic data, so content teams do not need a separate tool. Cookieless scroll map tools — like those offered by Askem — are GDPR-compliant by design, which matters for regulated sectors like government and healthcare. Having scroll data in the same dashboard as traffic and engagement metrics makes it easier for non-technical teams to spot content placement problems.

Sources

  1. Nielsen Norman Group — Scrolling and Attention: https://www.nngroup.com/articles/scrolling-and-attention-original/
  2. Nielsen Norman Group — Scrolling and Attention: https://www.nngroup.com/articles/scrolling-and-attention/
  3. Nielsen Norman Group — How People Read on the Web: The Eyetracking Evidence: https://www.nngroup.com/reports/how-people-read-web-eyetracking-evidence/

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