Heatmap

Heatmaps aggregate thousands of user interactions into a visual overlay on the page, making patterns immediately apparent. Click heatmaps show where users click, move heatmaps track cursor movement as a proxy for visual attention, scroll heatmaps reveal how far users progress down the page, and attention heatmaps estimate where users spend the most time looking.

For growth teams, heatmaps transform abstract analytics data into intuitive visual insights that communicate clearly across teams. They reveal whether users notice key elements, whether navigation patterns match design intent, and whether important content receives adequate attention. AI enhances heatmap analysis by automatically identifying anomalous click patterns, predicting attention distribution for new designs before deployment, and segmenting heatmap data by user type to reveal how different audiences interact with the same page. Growth engineers should use heatmaps as a diagnostic tool alongside quantitative metrics rather than as a primary analysis method. They excel at generating hypotheses about why metrics look the way they do and at validating design assumptions. Teams should generate heatmaps for high-traffic pages on a regular basis and before and after significant design changes to measure the behavioral impact of UX modifications.