FootfallCam 3D Pro2 measures footfall, monitors outside traffic, and tracks 6 key metrics with a single device per entrance, supported by 5 AI-powered reports to help stakeholders make strategic operational decisions.
Explore All People Counting Features
FootfallCam answers critical retail questions, from peak hours and sales conversions to campaign effectiveness, providing actionable data to optimise staffing, store locations, and sales strategies across your network.
Visitor Count
Outside Traffic
Visit Duration
Turn-in Rate
Returning Customer
Group Counting
The 3D Pro2 people counter can detect and measure the number of people visiting your store. Utilising 3D stereovision video counting and advanced tracking algorithms, it can perform bidirectional counting, which counts in and out simultaneously, achieving a counting accuracy of 95% and above.
FootfallCam can measure the number of people passing by your store by detecting smart devices via BLE and WiFi Counting. Gain insights into valuable metrics such as the number of potential sales opportunities missed during non-operating hours and the conversion rate of passer-by to in-store visitors.
The visit duration, or visitor dwell time, is measured based on the signals emitted from smart devices. This enables retailers to approximate when visitors entered and exited the store, providing insights into the average length of customer stays. Analysing dwell time and sales transactions allows management to identify areas for enhancing store operations.
By combining outside traffic data with visitor counts, retailers can determine the percentage of passersby who ultimately visit the store, known as the turn-in rate or storefront conversion rate. This metric is also a crucial element of the customer journey.
Returning Customers denotes individuals who revisit within a specified timeframe. For instance, it provides insight into the breakdown of customers who have made multiple visits within the past three months. This data serves as a potential indicator of customer loyalty, revealing patterns in visit frequency and shopping behaviours among returning clientele.
Identify the number of 'buying groups' to accurately reflect actual sales conversions. This involves measuring the number of people who enter and exit a retail store together as a group and determining the group size.
People Counting in Action
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Entrance Counting
Group Counting
Staff Exclusion
Multiple Line Counting
Product Engagement
Queue Counting (Retail)
Demographic Analytics
Floor Counting
Visit Duration
Outside Traffic
Returning Customer
Capturing the essential business metrics for all retail businesses:
Reflect a more realistic sales conversion by benchmarking against purchasing groups:
Ensuring the accuracy of your visitor footfall data by excluding your staff from the counts
Measure the shopping behaviour of your visitors:
Gauge the product engagement especially during promotions, which is critical to strategic business planning.
Ensures adequate number of checkouts to reduce the waiting time:
Categorise your shoppers using demographic analysis and plan tailored marketing initiatives accordingly.
By placing a device on each floor, retailers can identify floors with higher or lower traffic volume:
Quantify the shopping behaviour of your visitors - “How long do they stay?”
Identify if your store is capturing all untapped sales opportunities by measuring the number of people passing by.
Distinguish between new customers and returning visitors to evaluate if your product offering suits your target customer.
Visualising company-wide data trends, including total visitors, outside traffic, turn-in rate, and visit duration. Drill in to examine individual store performance.
Compare event ROI, identify patterns, and optimise marketing strategies by assessing individual event performance and predicting future event ROI based on past data.
Easily export and integrate footfall data into PowerBI with FootfallCam's built-in connectors for unified analysis and insights.
A self-service tool that allows users to easily review and audit people counting accuracy periodically, with no training required.
Present all KPIs in a single view that displays macro trends, the percentage of change, and allows drilling down into specific sites.
Compare event ROI, identify patterns, and optimise marketing strategies by assessing individual event performance and predicting future event ROI based on past data.
Real-time monitoring of store footfall and occupancy, and on-the-spot staff allocation based on real-time data.
Luxury Store
Pharmacy
Fashion Store
Electronic Store
Lifestyle Store
Health & Beauty
Departmental Store
Telco Store
Hardware Store
Furniture Shop
Jewellery Store
Store-in-Store
Experience Centre
Corner Shop
Showroom
Convenience Store
Real-Estate Agency
FootfallCam helps luxury retailers optimise staff, identify peak hours, and analyse data to improve customer experience, sales conversion, and operational efficiency.
“How can we exclude staff from footfall counts to better measure sales conversion?”
“Are we allocating enough staff to serve customers during peak footfall hours?"
“How long do customers typically spend in-store, and how does it affect purchases?”
FootfallCam helps pharmacies track peak visit times, and analyse footfall trends to enhance customer service and identify popular product categories.
“Which product categories attract the most customer visits in our pharmacy?”
“How does footfall trend differ between weekdays and weekends?"
“What is the average time customers spend in our pharmacy?”
FootfallCam helps fashion stores identify peak hours, analyse which collections attract the most attention, and evaluate the effectiveness of promotional campaigns.
“When are the peak hours for customer visits to our fashion store?”
“I’ve spent half a million in a promotional campaign, is it well spent?"
“Which clothing collections do customers browse the longest?”
FootfallCam helps electronic stores track footfall trends, analyse product engagement, and assess the impact of new product launches or changes in product positioning.
“What is the footfall trend across all of our electronic stores?”
“Which product area has the highest engagement rate and visit duration?"
“How does a product location repositioning impact footfall, engagement, sales?”
FootfallCam helps lifestyle stores optimise staffing, operating hours, and customer experience to maximise sales potential.
“Which store is understaffed? And which store is overstaffed?”
“How should I optimise my operating hours to maximise sales potential?"
“On average, how long do customers spend in-store, and do they make a purchase?”
FootfallCam enables health & beauty stores to boost sales conversion, evaluate campaign ROI, and make informed decisions on new store locations.
“How can we increase our sales conversion by 5% this year?”
“Which promotional event has the highest ROI? Where should future investment go?"
“Where should we open the next store? Which shopping area should I consider?”
FootfallCam helps departmental stores analyse shopping behaviour, customer demographics, and store traffic to optimise layout and increase sales.
“What is the shopping behaviour, and which area do customers stay in the longest?”
“Who visits our store? And who makes a purchase?"
“Which hours have the highest passerby rate, and what is the turn-in rate?”
FootfallCam helps telco stores in understanding shopper behaviour, sales conversion by product category, and engagement with display areas.
“How does a new product launch affect shopper behaviour?”
“What is the sales conversion rate for each product category?"
“Which display area has the highest and lowest engagement rate?”
FootfallCam helps hardware stores optimise staff allocation, track customer engagement with different product areas, and improve overall store efficiency.
“Which product sections attract the most customer attention and engagement?”
“How should staffing levels be adjusted to meet customer demand during peak hours?"
“What are the footfall trends throughout the day, how to optimise our operating hours?”
FootfallCam helps furniture shops optimise staff allocation and sales conversion, profile customer demographics and identify peak shopping hours to maximise sales potential.
“What are the peak visitor hours, and how do they impact store performance?”
“What is the optimal staff combination to maximise sales potential?"
“How do shopper demographics impact sales conversion and store performance?”
FootfallCam supports jewellery stores in monitoring customer flow, optimising staff levels, and enhancing sales conversion rates by analysing shopper behaviour.
“How does footfall correlate with sales conversion rates in our jewellery store?”
“Which hours of the day have the highest footfall, and are we staffed appropriately?"
“How long do customers spend in each area, which products draw the most interest?”
FootfallCam helps guest brand owners track the turn-in rate of passerbys, optimising customer experience, and assessing the effectiveness of product placement and layout to attract more footfall.
“Which display areas have the highest customer engagement and dwell time?”
“Are our staffing levels sufficient during peak visitation times?"
“What is the impact of the host store’s promotional events on my store’s footfall?”
FootfallCam aids experience centres in tracking visitor engagement, optimising staff allocation, and assessing the effectiveness of different exhibits or events.
“Which display areas have the highest visitor engagement and stay duration?”
“Are our staffing levels sufficient during peak visitation times?"
“How does visitor flow change throughout the day?”
FootfallCam helps corner shops manage staffing levels, reduce queue times, and optimise hours to enhance customer service and operational efficiency.
“How can I manage staff levels at checkout counters to reduce queue waiting times?”
“How many staff should be allocated for restocking?"
“When are the busiest hours, and how should I optimise staffing levels?”
FootfallCam helps showrooms analyse customer engagement with displays, optimise staff levels, and improve the overall customer experience to boost sales.
“Which product displays receive the most customer engagement?”
“How should staff be allocated to ensure customers are attended to during peak hour?"
“What is the average time spent by customers in the showroom?”
FootfallCam helps convenience stores identify the busiest days and hours and ensure optimal staff levels for efficient operations.
“When is the busiest day and busiest hour of my store?”
“How many customers make a purchase when they visit my store?"
“Do we have enough staff to manage restocking and man the cash till effectively?”
FootfallCam assists real estate agencies in monitoring visitor traffic, optimising office hours, and understanding customer engagement to improve service and conversions.
“When are the peak visitation times at our real estate office?”
“How long do clients spend for each consultation, how does it impact conversion?"
“How can we adjust staffing to better serve clients during high-traffic periods?”
Large Retailers around the world are using FootfallCam
See all Case Studies in United States
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Video Playlist ()
FootfallCam Store Location Analysis App: An AI-powered tool that learns from diverse data sets to calculate and recommend the best location for opening a new store, maximising sales potential.
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FootfallCam Store Location Analysis App: An AI-powered tool that learns from diverse data sets to calculate and recommend the best location for opening a new store, maximising sales potential.
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With FootfallCam 3D Pro2 IR, you get accurate 3D people counting even in complete darkness. Its built-in IR light ensures consistent accuracy regardless of changing lighting conditions from day to night.
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FootfallCam uses advanced people counting technology that is proven to be accurate in any condition. Multiple units of people counter will be able to combine their data and cover multiple entrances in a single store.
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Measure visitors’ behaviours within your premises, and optimise your operations for maximum ROI.
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Footfallcam 3D People Counter uses stereo vision to mimic the concept of human eye imaging perception to accurately depict the direction of travel for visitors and for counting the number of visitors.
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The 3D Pro2™ is designed to be installed at the different entrance of a retail store, capturing proprietary IN/OUT counting and other business metrics, which help retailers optimise their operations while maximising their sales conversions.
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Secure, the Highest Standards. Meets all industrial corporate standards, including GDPR and more, with rigorous pen tests and comprehensive policy documentation for privacy and security.
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Enhance Accuracy with Staff Exclusion
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FootfallCam uses advanced people counting technology that is proven to be accurate in any condition. Multiple units of people counter will be able to combine their data and cover multiple entrances in a single store.
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Easy to Install. Easy to Maintain.
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We welcome bids of all sizes and all industry, regardless of whether they are at an early or later stage of the bidding process, we are eager to participate in your bids and collaborate with a partner to provide the best solution for your business needs.
Many retailers don't require the latest and greatest; instead, they seek a system that provides optimal value. We specialise in tailoring system designs to precisely meet your needs and budget, ensuring you get just what is necessary for maximum business impact.
Talk to our System SpecialistEssentials
Starting at
“Single Entrance Counting”
Install a 3D Pro2 at the entrance to measure visitor traffic, identify peak hours, track sales conversions for enhanced store performance.
Standard
Starting at
“Multiple Entrances Counting”
Install a 3D Pro2 at both entrances to measure total visitor traffic, identify peak hours, track sales conversions for enhanced store performance.
Enterprise
Starting at
“Wide Entrance Counting”
Combine multiple 3D Pro2 units at the entrance for full coverage and save 30% on overall costs with the widest coverage area in the market.
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