attention-heatmap

Yes, you can audit attention-to-conversion alignment by comparing predicted visual fixation zones against your primary CTAs, hero messaging, and proof elements. This evaluates whether key conversion elements receive sufficient predicted attention.

This attention analysis evaluates device-aware dynamics by assessing thumb-zone reach, fold positions, and mobile versus desktop fragmentation. It models gaze patterns specific to each device context for accurate layout optimization.

Visual saliency scoring predicts which elements in your ad creatives draw the most visual attention based on gaze modeling. Applying these scores optimizes layout design and improves A/B testing across different audience segments.

Use gaze prediction to model visual attention patterns across different email layout variations for A/B testing. The predicted fixation zones inform which design directs attention toward your conversion goals more effectively.

Predicted attention heatmaps model expected gaze patterns but should not replace live user testing when verifying complex conversion flows. Rely on them for initial layout optimization and A/B testing hypotheses rather than absolute behavioral guarantees.