Sensors to improve conversion rates Product overview A compact sensor system that captures instore customer movement and engagement data to support decisions that boost conversion rates. The sensor delivers realtime counts, dwell time, and zonelevel activity so retail and operations teams can measure the effect of layout, staffing, and promotions. Key benefits Improve decision making: accurate footfall and dwell metrics help identify where customers engage and where opportunities to convert are lost. Optimize operations: use realtime occupancy and queue data to adjust staffing and reduce missed sales opportunities. Measure marketing impact: test window displays, endcap placements, and promotions with reliable before and after metrics. Privacyfocused data: ondevice processing provides anonymized occupancy and event data rather than profiles. Flexible deployment: small, unobtrusive hardware fits on ceilings, walls, or fixtures and integrates with existing systems. What the sensor does Counts people entering and moving through predefined zones. Measures dwell time and repeat visits to specific areas. Triggers events for realtime alerts or integrations, such as a long queue or a product display. Streams summarized data to analytics platforms via standard network protocols. Compatibility and integration Works with point of systems, workforce management tools, and thirdparty analytics through REST API, MQTT, or WebSocket. Supports wired Ethernet and wireless connectivity options for flexible network setups. Offers local data export and cloud forwarding to fit existing data pipelines. Form factor and materials Compact footprint designed for ceiling or wall mounting. Durable polycarbonate housing that blends into retail environments. Lowprofile design minimizes visual impact and theft risk. Performance and power Designed for reliable indoor performance across typical retail lighting and traffic conditions. Lowpower electronics with options for Power over Ethernet or battery operation for locations without convenient power. Ondevice filtering reduces network load by transmitting summarized events rather than raw video or continuous streams. Use scenarios Window conversion tracking: place sensors above a storefront window and at the entrance to compare window engagement with actual store entry and activity. Use results to refine merchandising and staffing during peak periods. Queue and staffing management: monitor checkout queues and receive alerts when wait time or occupancy thresholds are reached so staff can open additional registers and reduce lost sales. Promotion and layout testing: deploy sensors around promotional displays and product islands to measure dwell time and lift. Compare alternative layouts or signage to determine which configuration drives higher engagement and conversion. Why choose this sensor This sensor provides practical, privacyconscious metrics that inform store layout, staffing, and marketing choices without intrusive data collection. Its flexible integration options and compact design make it suitable for permanent stores, temporary popups, and multisite rollouts.