Walk-by retail analytics
Uncover your opportunity outside your store, to aid business decisions you make in-store.
Actionable insight to increase engagement
WHICH MARKETING MESSAGES
ARE THE MOST ENGAGING?
WHICH PRODUCTS AND PROMOTIONS
BRINGS MORE TRAFFIC?
EACH WALK-BY IS AN
OPPORTUNITY
TO CONVERT
WALK-BY RETAIL INSIGHT
Even before knowing how many people walk into your store. Shouldn't you start by understanding your walk-by traffic?
Walk-by analytics is the total number of potential customers who physically pass in front of, or walk by, your store. Each walk-by represents an individual who, if managed correctly, can convert to a walk-in customer and eventually a sale.
Measure the opportunity
How engaging is your front window display?
How much foot traffic flows past your location?
Walk-by shoppers that don’t enter your store are lost opportunities. Monitor walk-by traffic to evaluate the effectiveness of window displays, marketing, and promotional activities.
UNCOVER YOUR POTENTIAL
HOW MANY PEOPLE PASS BY YOUR STORE?
OPTIMISE YOUR
STORE FRONT
TO ATTRACT NEW VISITORS
CONVERT IMPRESSIONS
INTO WALK-INS AND ENGAGEMENTS
MEASURE THE
OPPORTUNITY
OUTSIDE YOUR STORE
ANONYMOUS DATA
NONPERSONAL
RF SIGNALS
Walk-by Retail Analytics RF Sensor
The walk-by retail analytics sensor is mains powered and mounted on the ceiling or wall near the entrance window. the sensor gathers anonymous, non-personal radio frequency (RF) signals emitted by shopper’s personal devices. Data is sent to our cloud server via 4G.
AI-powered, machine learning algorithm measures and makes sense of the data sets, turning them into actionable analytics.
Power: PoE IEEE 802.3at | AC/DC adapter 90-240VAC | 12VD 3A
Connectivity: LTE
Reading frequencies: 2412-2484MHz, 5180-5825MHz
Dimensions: 120 x 160 x 70mm | Weight: 475g
Real-time locating systems (RTLS) are used to automatically identify and track the location of objects or people in real-time, usually within a building or other contained area.
Customer tracking technologies
There are a lot of claims in the market, but the technology in use falls into a few categories, all with specific weaknesses and more limited accuracy than using an RF sensor.
- Beacons - requires download, opt in and Bluetooth on, sampling issues (~5%), high ongoing maintenance costs
- Wi-Fi - “randomized” by manufacturers, sampling issues (20%-60%), duplicate counts, low accuracy (3-5m radius circle)
- ComputerVision / Facial Recognition – Global Privacy Policy constrictions, duplicate counts, 3-5x+ our cost to own, limited metrics
- RF Sensor - 90%+ visitors tracked passively for storefront and in-store analytics. Private LTE Network. Best Coverage, Accuracy (10’x10’) and Lowest Total Cost to Own!
Complement your existing door counters with these plug-and-play walk-by sensors.