Scrolling

Understanding scroll maps

Scroll maps are visual tools that track how far users scroll on a webpage. They highlight which sections users view most and least. This data helps you identify areas needing UX improvements and optimize content placement to boost engagement and conversions.

By showing heat zones, scroll maps use color gradients to indicate the most and least viewed sections of a page. Red areas are highly viewed, while blue areas get less attention. This visual representation makes it easy to see where users drop off.

A key feature is the average fold score, which shows the percentage of visitors seeing different parts of the page. Knowing where the fold lies helps you place important elements where they're most likely to be seen. For example, you might want to move a call to action above the fold to ensure maximum visibility.

Scroll maps also help you spot false bottoms. These are areas where users mistakenly believe they've reached the end of the content. Identifying false bottoms allows you to rearrange elements, improving navigation and ensuring users find all the content.

Using scroll maps, you can:

  • Capture and keep visitor attention by tailoring content.

  • Identify and fix navigation challenges.

  • Optimize content placement to increase engagement.

Analyzing scroll behavior on both desktop and mobile devices ensures a seamless user experience across all platforms. This analysis helps you design intuitive interfaces that work well on any device.

Scroll maps are especially useful for e-commerce sites. They can show you where to place key items and promotions to ensure they're seen. For bloggers, scroll maps help determine the ideal post length and structure to keep readers engaged.

In short, scroll maps offer clear, actionable insights. They help you understand user behavior, optimize content, and improve overall site engagement.

Key features of scroll maps

Heat zones and color gradients

Scroll maps use color gradients to highlight engagement. Red zones show high activity, while blue zones indicate low activity. This visual tool quickly identifies where users focus. For more detailed analysis, explore how Statsig works and documentation.

Average fold score

The average fold score shows what percentage of visitors see different parts of a page. Place crucial elements above the fold for better visibility. This ensures key information is seen by more users. Discover more about this by visiting Statsig's glossary and product updates.

Key features of scroll maps

Heat zones and color gradients

Scroll maps use color gradients to show the most and least viewed sections. Red indicates high engagement, while blue shows low engagement. This helps you quickly identify where users focus. For more details on how scroll maps work, refer to the documentation. Additionally, you can explore walkthrough guides and integrations that help in understanding user engagement.

Average fold score

The average fold score reveals what percentage of visitors see different parts of a page. It helps you place crucial elements above the fold. This maximizes visibility and interaction. To dive deeper into fold scores, check out the above the fold concept. For practical applications, consider the first feature guide and A/B testing calculator.

How to implement scroll maps effectively

Optimize above-the-fold content

Use scroll map data to position key information and calls to action above the fold. This ensures maximum visibility. Prioritize important elements for better engagement. For more insights, see conversion rate optimization and landing page optimization. Additionally, you can explore logging events to track user interactions effectively.

Improve cross-device experience

Analyze scroll behavior on both desktop and mobile devices. Design a seamless user experience across platforms. Ensure consistency and intuitive navigation. To ensure cross-device consistency, refer to split testing and A/A testing. For a step-by-step approach, you can also check out the sidecar experiments guide.

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy