See Beyond the Counter. Understand Every Footstep.
Measure real-world traffic with passive mobile detection — track unique visitors, dwell time, repeat visits, and engagement effortlessly.
How It Works
Invisible, Accurate, Effortless — That’s Passive Footfall Tracking
Our system detects Wi-Fi and Bluetooth signals emitted by smartphones to count unique visitors — no cameras, no apps, no personal data.
We tell you
Tech Highlights
100% Anonymous Detection
Real-Time Dashboard
No Customer Interaction Needed
Zone-Level Insights
Cloud Reports & Trend Analysis
Use Cases
Tailored Insights for Every Space
Retail Stores
Benefits:
- Measure true conversion rate (walk-ins vs. buyers)
- Compare store traffic across locations
- Optimize staffing and promotions
- Identify high-traffic hours
Restaurants
Benefits:
- Track peak dining hours
- Measure repeat customers vs. new visitors
- Optimize wait times and seating layout
- Evaluate promotional impact
Showrooms
Benefits:
- Track interest across product zones
- Evaluate showroom campaigns
- Correlate visits with sales performance
- Improve staff allocation
Airport Stores
Benefits:
- Identify high-potential flight windows
- Track cross-terminal behavior
- Optimize staffing and promotions
- Improve placement and visibility
Exhibition Stalls
Benefits:
- Measure unique visitors and revisits
- Compare performance with other stalls
- Evaluate marketing ROI
- Understand crowd flow and peak times
Measures Tracked
Why Choose Us
Smarter Footfall, Deeper Insight.
Our passive tracking technology gives you more accuracy than infrared sensors and more coverage than manual counts, without invading privacy.
Key Advantages:
- Works Automatically — No Beacons or Apps
- Privacy-Compliant & Anonymous
- Real-Time Dashboards & Reports
- Multi-Location Comparison
- Easy Setup, Plug & Play
Comparison Section
GNetra Tracking
Video face identification
Infrared sensing
Tracking method
Signal Triangulation from mobiles
Visual Object Tracking
Infrared heat sensing
Accuracy
High
High
Medium
Duplication Error
None
High
Very High
Multi Zone tracking
Yes. Tracks same device across zones
None
None
Identifying Repeat Visitors
High
None
None
Staff Exclusion
High
Low
None
Real Time Processing
High
Low
High
Real Time data reporting
Yes
No
Yes
Effect of obstacles
None
Yes. Cannot see cross obstacles
Yes. Cannot detect cross obstacles
GDPR/ Privacy Compliance
Yes
No
Yes
Setup Cost
Moderate
High
Moderate
Maintenance cost
Moderate
High
Low
Environmental dependance
Low. Not affected by lighting, camera angles or obstructions
High. Sensitive to lighting, camera angle, reflections, obstructions
High. Localised to a small area at entry/exit only
Impact of Internet interruptions
Low. Data saved on device
High
Low
Setup Cost
Moderate
High
Moderate
Scalability
High
Low
High
Maintenance cost
Moderate
High
Low
Behavioral- Insight
Understanding visitor behavior is key to improving engagement and conversions. A shopping mall noticed that while some corridors had heavy foot traffic, sales and engagement were surprisingly low. By analyzing heatmaps, dwell times, and repeat visit patterns, the mall was able to pinpoint underperforming zones.
The Challenge
A shopping mall wanted to understand why certain corridors had high traffic but low conversion.
The Solution
Heatmaps, dwell time, and repeat visit patterns were analyzed.
The Outcome
Stores were relocated to high-interest areas, promotional displays were redesigned, and footfall conversion improved by 18%.
“We doubled our repeat customers after learning when and how visitors engage.”
— Owner, Bloom Boutique