What makes Attention Insight different from other heatmaps?
All heatmaps are visual representations of data that showcase how visitors interact with visual materials. There are different types of heatmaps which represent different data. Thus, it is important to understand what data you are visualizing. Here are the examples:
Mouse-tracking heatmaps (hover, click, and scroll maps) record, quantify, and represent data of the mouse or trackpad movement. To make accurate findings, you should record your users and have a sufficient sample size (around 2000-3000 according to CXL).
Eye-tracking heatmaps gather and visualize data about the most and least attention-capturing sections and elements of a web page. To make accurate findings, you should possess eye-tracking software and devices, recruit enough users (at least 39 to generate heatmaps according to NN/g) and record their behavior. Check our article about diferrent heatmaps.
Attention Insight heatmaps powered by AI, just like eye-tracking heatmaps, show which areas of the visual materials have been viewed the most and the least. You can find out if key pieces of information are in the area that is visible to most users. It is different from mouse-tracking heatmaps since it indicates where visitors look versus where they click or hover the mouse. Also, no data collection is required since an AI algorithm uses previously recorded data from real eye-tracking studies with ~70 000 image data sets in total and generates attention heatmaps in seconds. Thus, it is a much more affordable and faster option with 90-96% accuracy compared to real eye-tracking studies. More about technology.