Heatmaps are visual representations of data that provide insights into user behavior and interactions on a website or web page. They are created using tools like SEMrush, Mouseflow, or FullSession, which track user activity and generate graphical reports based on that data.

Heatmaps work by recording and analyzing user interactions, particularly mouse movements, and clicks. When a user visits a website, their mouse movements are tracked, and the data is collected. This data is then visualized on a heatmap, where different colors represent the intensity or frequency of interactions in specific areas of the page. Typically, red areas indicate high activity or attention, while green areas indicate less activity.

Reading a heatmap involves interpreting the color-coded information to gain insights into user behavior. Here’s how to read a heatmap:

Heatmap Intensity

The intensity of color in a specific area indicates the level of user activity or attention. Darker or brighter colors, such as red, represent higher activity or more interactions, while lighter or cooler colors, such as green, indicate lower activity or fewer interactions.


Hotspots are areas on the heatmap that show the highest concentration of user interactions. These areas are usually represented by intense red colors and indicate the most engaging or popular sections of the page.


Coldspots are areas on the heatmap that show minimal or no user interactions. These areas are typically represented by cooler colors like blue or green. Coldspots can highlight areas that are overlooked or less engaging to users.

Clicks and Hovers

Heatmaps can differentiate between clicks and hovers. Clicks are usually represented by large dots or circles, while hovers are shown as smaller dots or areas with high density. Analyzing click and hover patterns can provide insights into user engagement and decision-making processes.

Scroll Depth

Some heatmaps also display scroll depth, indicating how far users scroll down a page. This information helps understand user engagement and whether important content is being viewed.

By analyzing heatmaps, website owners and marketers can gain valuable insights into user behavior and preferences. They can identify which elements of a web page are attracting attention, which sections are being ignored, and make data-driven decisions to optimize user experience and improve conversion rates.

Please note that the provided information is a general explanation of heatmaps and how to read them. Different heatmap tools may have slight variations in their features and visualization methods. It’s always recommended to refer to the specific tool’s documentation or support resources for detailed instructions on reading their heatmaps.