How Do I Filter the Results of a Heatmap?

Nelio A/B Testing heatmaps let you analyze how visitors interact with your page. You can view—and filter—this data in several ways to better understand click behavior, scroll depth, and user intent.

Three Heatmap Views You Can Switch Between

Use the left sidebar to switch between three different views::

1. Heatmap

Shows the areas of the page with higher and lower concentrations of clicks or taps.

Heatmap on a pricing page

2. Scrollmap

Shows how far visitors scroll down the page and the percentage of visitors that reach different sections.

Scrollmap on a pricing page

3. Confetti

Displays individual clicks as dots and lets you analyze them using additional information about each interaction.

Colored clicks on a pricing page

Filtering by Device Type

For heatmap and scrollmap views, you can filter the results by:

  • Desktop
  • Tablet
  • Mobile
Showing heatmaps in Nelio A/B Testing

This isn’t simply a resized version of the same heatmap. When you select a device type, Nelio A/B Testing displays the data collected from visitors using that type of device.

Advanced Filters in the Confetti View

The Confetti view provides additional filters that let you analyze clicks according to different visitor and interaction attributes.

You can filter clicks by:

  • Browser
  • Country
  • Device type
  • Operating system
  • Weekday
  • Time of day
  • Time to click (after page load)
  • Window width / screen resolution
Screenshot of confetti filters available in Nelio A/B Testing

These filters help you answer detailed questions like:

  • Do mobile users interact differently from desktop users?
  • Do visitors from different countries show different click patterns?
  • How long does it take visitors to click after loading the page?

Why Is Filtering Useful?

Filtering can help you:

  • Identify behavioral differences between groups of visitors
  • Compare interactions across different devices
  • Detect patterns that may not be visible in the aggregated data
  • Better understand how visitors interact with different parts of your page

You can use these insights alongside your A/B test results to identify potential opportunities for further testing and optimization.