The FootfallCam 3D Counter uses both video and Wi-Fi counting technologies to provide 5 metrics for retailers in a single device. It can track foot traffic into and out of a store, identify returning customers and those who shop at multiple stores, and determine how many passersby enter the store. The device detects smartphones' Wi-Fi signals without needing a connection and anonymizes the MAC addresses collected to protect customers' privacy.

1. FootfallCam 3D Counter
• Standalone unit
• Built-in Wi-Fi Sensor
• 3rd generation people
counting technology
©2016 Footfall counter is trademark application of FootfallCam in various jurisdictions.
We reserve the right to introduce modifications without notice.
All other company names and products are trademarks of their respective companies.

2. 3rd Generation:
Video counting + Wi-Fi counting
With the rising popularity of Wi-Fi enabled devices, the 3rd generation
counters are able to use Wi-Fi counting to measure the metrics more
than just the INs and OUTs of the store.

3. 5X Metrics in One
Counter
• We are the first in the world to
combine video counting and Wi-Fi
counting technologies into one
device
• Adding a number of important
metrics for business, especially for
the retail industry

4. A) Footfall Counting
• Employs the most advanced algorithm, Multilayer Background
Subtraction Based on Color and Texture
• Digitally remove the background objects in the video to identify the
person and track its movement to distinguish INs and OUTs

5. B) Outside Traffics
• Smartphones constantly send out signals as they look for nearby
Wi-Fi networks
• Footfallcam counter is a Wi-Fi
hotspot itself. It is able to detect
the Wi-Fi signals emitted by
the smartphones

6. What Data Are We
Collecting From
Smartphones
1. MAC Address
A unique identifier associated
with a specific device
2. Signal Strength
To determine rough location of
the customers

7. Store Front Conversion
How many people passing through has actually visited your store?
Store Front Conversion
= number of people coming in
outside traffic
x 100%

8. C) Visit Duration
How long the customer stay in your store?
Track each MAC address emitted by the smartphones as customers
enter and exit the store.
Visit duration = 15 minutes
Leave at 10.15 amEnter at 10.00 am

9. D) Returning Customers
Distinguishes if the customer has visited the store before by comparing
the MAC address with previous records.
AAA has previously visited the store on 18 Jan she is a
returning customer.

10. E) Cross Shopping
Combining Wi-Fi data from different stores allows the same MAC
address detected in different stores to be identified.
AAA is a cross shopper between Store A and Store B

11. Frequently Asked Question #1
Retailer: “ Do I need to provide Wi-Fi network in our stores in order to
use your counter?”
No, Footfallcam counter detects the Wi-Fi signals emitted by the
smartphones without requiring it to be registered or connected to any
Wi-Fi networks.

12. Frequently Asked Question #2
Retailer: “ Not everyone is carrying a smartphones, how do you factor
that into your analytics?”
We cannot track everyone. However, we have large sample size
statistically neutral video counting data where we can use to normalize
the Wi-Fi data to have an accurate picture of the overall customer
shopping behavior.

13. No Personal Information Collected
• MAC address hashing
• Anonymous aggregated data
• Neither retailer nor footfallcam
know your identity or any
personal information

14. ©2016 Footfall counter is trademark application of FootfallCam in various jurisdictions.
We reserve the right to introduce modifications without notice.
All other company names and products are trademarks of their respective companies.