
Occupancy sensing data provides insights into customer traffic patterns and dwell times within the store. Without changing a thing in your offering, use the data to optimize your layout and strategize your product placement. Place your high-margin items in higher foot traffic areas and adjust displays based on customer behavior.
Occupancy sensors show how shoppers move through a store: which zones draw traffic, where people linger, and which displays get passed by. Retail teams use the data to plan layouts, place products, and measure the effect of promotions.
Foot traffic and dwell data show where shopper attention is highest, so high-margin products can go where people actually spend time. Teams can also compare traffic before and during a promotion to see whether it brought more people in.
No. Butlr sensors read body heat as low-resolution thermal data and cannot capture images, faces, or identities. Shoppers stay anonymous, which avoids the privacy concerns that come with camera-based analytics.
No. The compact wireless sensor works with different mounting options and blends into most ceiling types, so it installs without rewiring or disrupting the store design.
Yes. Butlr is API-first, so foot traffic and dwell data can flow into the analytics, merchandising, and store operations tools your team already uses.