Unexpected spikes and drop-offs in engagement often signal problems long before sales metrics react. We reveal where shoppers engage too little or too intensely, and which targeted interventions restore a healthier balance between attention, dwell, and conversion.
Physical stores generate rich but uneven engagement across categories, touchpoints, and campaigns, yet most anomalies remain invisible until they distort performance. BIEM turns engagement anomalies into a measurable signal, showing where shoppers skip past expected anchors, linger unexpectedly, or cluster in ways that do not translate into sales. By stabilizing human signals into structured features, BIEM links these anomalies to specific locations, fixtures, promotions, and service setups. Retailers gain a defensible basis for refining assortments, adjusting in-store narratives, and orchestrating staff so that engagement supports, rather than undermines, commercial outcomes.