Generic messaging wastes scarce in-store attention on the wrong audiences. We reveal how different shopper segments actually move, pause, and respond across the floor, so that each screen and surface carries content matched to its real viewers.
Physical stores host a mix of missions, demographics, and mindsets, yet most content still runs as if every shopper were the same. BIEM turns microscopic movement and dwell patterns into a measurable audience signal, showing which segments gather where, at what times, and in which states of intent. By linking these signatures to specific screens, fixtures, and categories, BIEM makes it possible to segment content delivery at the level of individual touchpoints. Retailers gain a defensible basis for tuning messages, rotations, and formats so that each unit of attention is spent on the audiences most likely to act.