Why is using the number of customers entering a shopping center a more accurate measure of traffic?

People Counter | People Counting for Retailers | Visitor Counting

FootfallCam offer people counting solution for retailers to understand the number of visitors that enter their store, with people counters, users can review their store performance.

RetailFootfall™

FootfallCam uses advanced people counting technology that is proven to be accurate in any condition. Utilising 3D Depth map technology, capture by dual lens, FootfallCam people counter able to determine the height and size of moving objects, giving a more accurate depiction of the actual number of customer visits.

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

People Counting at Entrances

FootfallCam 3D people counters installed at the entrances can detect the number of people entering and exiting the premise. Retailers can gain valuable business insights from the people counting data provided by FootfallCam’s system.

Understand the store traffic with footfall data collected

Identify the peak hours and non peak hours of store traffic

Measure the sales conversion rate by comparing sales data against footfall data collected

Determine the height and size of moving objects, distinguish objects from people and differentiate kids from adults.

Data Analytics for Retailers

FootfallCam offers the most complete set of business metrics and the wide range of ready made reports generated from the data made available by the FootfallCam devices, allowing retailers to perform deep analysis and be able to have better visibility on their store performance level. Present the sales conversion rate with confidence to store managers.

Store traffic profile

Sales conversion optimiser

Determine the success rate of a marketing campaign

Measure store performance based on data-driven KPI

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Excluding Staff from Footfall Counting

Combining Footfallcam 5D Pro™ and 5 different staff exclusion methods, the store staff can be identified and excluded from the traffic counting to provide a more realistic and accurate people counting data.

Anonymous identification of staffs

Plug-and-play, no configuration required for hardware

Cost effective and ease of deployment

Tailored for different use cases, including store staff, security personnels and delivery man

Staff Exclusion Methods

Features

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Up to 99.9% Accuracy

Combining 3D stereoscopic image processing and AI video analytics together with advanced tracking algorithms, FootfallCam 5D Pro™ People Counter is optimised to achieve up to 99.5% accuracy, even in environmentally challenging conditions.

Overcome strong shadowing effect;

Count accurately with a swinging door at the entrance

Work well in low and high ceiling height

Allows accurate people tracking and maintaining high accuracy even in high traffic stores

Cover wide entrance with minimal number of counters

Learn more about FootfallCam 5D Pro™ —

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Wi-Fi Analytics

Combining 3D Counting together with the Wi-Fi capturing technology, the people counter is able to detect the number of smart devices within the range of Wi-Fi detection, allow Wi-Fi data to be normalized with the large sample size statically neutral video counting data to have an accurate picture of the overall customer shopping behavior.With this, the people counter is capable of providing in depth Wi-Fi analytics and business metrics

Dwell Time, Turn In Rate, Outside Traffic

Dealing with MAC randomisation

Know more about Wi-Fi analytics —

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

60+ Report Templates Available

With access to over 60+ different reports that helps to answer specific business questions, data gets turned into meaningful analyses so you can make data driven decisions to improve your business.You may request for custom reporting options by configuring your own metrics via the Custom Report builder feature. We can provide both live data, as well as historical data.

Reports for Targeted Functions

Dashboards for Operation Review

Reports for Management KPI

Custom Report Builder

More Business Reporting —

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Centrally Managed in Platform

An enterprise web-based control panel is designed for customers who are managing a large number of counters. It is a free service and retailers will be able to access the data via the control panel. FootfallCam is hosting the most powerful functions on behalf of the retailer, making it available even for 1 counter installation. Users' data are stored in the cloud by default without any limits on the amount of data stored and the duration stored on the cloud will be lifetime or until end of business.

Centrally Managed System

API: Data Integration

Health Check Monitoring

Provide the full analysis of traffic data for individual stores and across multiple store locations, region and the entire chain

FootfallCam Analytics Manager V9™ —

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Exclude Kids and Objects from Counting

Utilising 3D Depth map technology, captured by dual lens, FootfallCam 5D Pro™ can determine the height and size of the moving objects, and distinguish the objects from the people using AI algorithms. This helps to exclude the object, such as wheelchairs, trolleys, carts and strollers from the counting. In addition to the above, the technology can also differentiate kids from adults by height differentiation, providing kids counting solution.

How Object Classification Works —

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Comparing Sales with Footfall Data - Sales Conversion

Sales Conversion is defined as the number of visitors that turns into a customer, reflects the more accurate method to determine the performance level of a store in comparison with looking at the number of transactions per store. Businesses will be able to analyse the unique profiling of each store and make customised responses, to improve the sales conversion.

Customise strategies based on store profiling

Configure sales target for each individual store

Track sales progress

Drive store staff by comparable achievement with other stores with same attributes

Sales Conversion Report —

System Design

Small Format Stores

Medium Format Stores

Stores with Wide Entrance

Stores with Multiple Entrance

  • Why is using the number of customers entering a shopping center a more accurate measure of traffic?

    People Counting at Store Entrance

    The most popular and cost efficient people counting option for small format stores which requires footfall counting at the entrance.

    Uses

    Measuring the number of visitors enter the store

    Comparing sales data with footfall data or purchasing group

    Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)

    Equipment Used

    1

    1x 3D Pro2 for entrance counting

    Metrics

    Visitor Count (In/Out)

    Visitor Count (Kids/Adult)

    Outside Traffic

    Turn in rate

    Dwell Time

    Returning customer

    Live Occupancy Count

    Sales Conversion

    Group Count

  • Why is using the number of customers entering a shopping center a more accurate measure of traffic?

    Medium-format stores

    The most popular and cost efficient people counting option for medium format stores which requires footfall counting at the entrance.

    Uses

    Measuring the number of visitors enter the store

    Comparing sales data with footfall data or purchasing group

    Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)

    Equipment Used

    1

    1x 3D Pro2 for entrance counting

    Metrics

    Visitor Count (In/Out)

    Visitor Count (Kids/Adult)

    Outside Traffic

    Turn in rate

    Dwell Time

    Returning customer

    Live Occupancy Count

    Sales Conversion

    Group Count

  • Why is using the number of customers entering a shopping center a more accurate measure of traffic?

    Stores with Wide Entrance

    Suitable for retail stores with a large entrance (wider than a standard double door entrance), applicable to people counting for all formats of stores.

    Uses

    Measuring the number of visitors enter the store

    Comparing sales data with footfall data or purchasing group

    Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)

    Equipment Used

    1

    3x 3D Pro2 for entrance counting

    Metrics

    Visitor Count (In/Out)

    Visitor Count (Kids/Adult)

    Outside Traffic

    Turn in rate

    Dwell Time

    Returning customer

  • Why is using the number of customers entering a shopping center a more accurate measure of traffic?

    Stores with Multiple Entrances

    Suitable for retail stores with more than one entrance, applicable to people counting for all formats of stores.

    Uses

    Uses

    Measuring the number of visitors enter the store (from multiple people counters)

    Comparing sales data with footfall data or purchasing group

    Object Classification-Differentiating between adults, kids and objects (trolley, pushchair, wheelchair, and etc.)

    Equipment Used

    Equipment Used

    1

    2x 3D Pro2 for entrance counting (1x for each entrance)

    Metrics

    Metrics

    Visitor Count (In/Out)

    Visitor Count (Kids/Adult)

    Outside Traffic

    Turn in rate

    Dwell Time

    Returning customer

    Live Occupancy Count

    Sales Conversion

Traffic counter | People Counter | Conversion counter

Measures the number of visitors that enter your store with FootfallCam people counter to make data-centric decisions and optimise sales conversion.

RetailHeatmap™

Provides in-depth customer engagement analytics within the zone of interest of a store, to have a better understanding of the user behaviour, and identify the most and least visited areas.

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Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Engagement Store Comparison

Utilising FootfallCam Centroid™, the customers’ movement can be monitored and analysed by re-using the video stream from the existing CCTV system.

Product-level Engagement Analytics by Skeleton Tracking

To identify the market response to each of the product.

To measure the sales conversion in product level.

Avoid Sales Opportunities with Empty Shelf/Rack Detection

Staffs can carry out the quick replenishment of stock based on automated alerts received.

Reallocate the staff to focus on other priority tasks instead of focusing on stock level monitoring

Heatmap - Analyse Customer Behaviour within the Store

Combining CCTV cameras with FootfallCam Centroid will produce heatmap analytics that helps retailers visualise customers’ shopping journey within the store. Heatmap data can be combined with sales data to obtain the correlation between the customer engagement in a zone and the conversion of sales.

Reuse existing CCTVs, reduce project cost

Identify “Hot” or “Cold” zones

Measure Product Level Engagement

Create more effective localised plans and marketing strategies to better align with your customer

Watch Heatmap Video

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Visualise Customer’s In-Store Shopping Journey

Using path counting to visualise the traffic flow of visitors to determine which pathways are often used to plan placements of advertisement displays and digital signages while traffic heatmap provides in-depth view into how engaged shoppers are to determine the effectiveness of those displays and signages.

Reuse existing CCTVs, reduce project cost

Identify “Hot” or “Cold” zones

Measure Product Level Engagement

Create more effective localised plans and marketing strategies to better align with your customer

Heatmap Dashboard

Allow user to draw multiple area polygon at Heatmap Dashboard to obtain heatmap analytics for area of interest, to measure engagement in each zone at different time of the day, or different time of the year.

Area Utilisation Rate

No. of Engaged Customers

Dwell Time of Engaged Customers

No. of Passer-bys

Heatmap Dashboard

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Features

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

AI Video analytics

AI image processing technology is a key development in our people counting technology to ensure all counters across different locations can reach 99.5% accuracy.

Watch How it Works —

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Heatmap Analytics

Combining CCTV cameras with FootfallCam Centroid will produce heatmap analytics that helps retailers visualise customers’ shopping journey within the store.

Heatmap Report —

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Product Engagement Analytics

Utilising FootfallCam Centroid™, the customers’ movement can be monitored and analysed by re-using the video stream from the existing CCTV system.

Watch How it Works —

System Design

Small Format Stores

Medium Format Stores

Full Coverage System

Others

  • Why is using the number of customers entering a shopping center a more accurate measure of traffic?

    People Counting at Store Entrance and Area Counting

    In addition to people counting at entrance, retailers can measure the customer engagement, track the passerby within an area of the store, and identify the hot and cold areas with an additional people counter only.

    Uses

    Measuring the number of visitors enter the store

    Comparing sales data with footfall data or purchasing group

    Measuring customer engagement within an area of interest

    Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)

    Equipment Used

    1

    1x 3D Pro2 for entrance counting

    2

    1x 3D Pro2 for In-store shopper journey

    Metrics

    Visitor Count (In/Out)

    Visitor Count (Kids/Adult)

    Outside Traffic

    Turn in rate

    Dwell Time

    Returning customer

    Live Occupancy Count

    Sales Conversion

    Group Count

    Heatmap & Customer Engagement

    Zone Analytics

  • Why is using the number of customers entering a shopping center a more accurate measure of traffic?

    Medium-format stores

    In addition to people counting at entrance, retailers can measure the customer engagement, track the passerby within an area of the store, and identify the hot and cold areas within the areas of interest.

    Uses

    Measuring the number of visitors enter the store

    Comparing sales data with footfall data or purchasing group

    Measuring customer engagement across multiple areas of interest

    Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)

    Equipment Used

    1

    1x 3D Pro2 for entrance counting

    2

    1x 3D Pro2 for point-of-sale display engagement tracker

    3

    2x 3D Pro2 for In-store shopper journey (depending on the number of area of interest)

    Metrics

    Visitor Count (In/Out)

    Visitor Count (Kids/Adult)

    Outside Traffic

    Turn in rate

    Dwell Time

    Returning customer

    Live Occupancy Count

    Sales Conversion

    Group Count

    Heatmap & Customer Engagement

    Zone Analytics

  • Why is using the number of customers entering a shopping center a more accurate measure of traffic?

    Full Coverage System

    Provides full coverage of the entire floor space to track the customer in-store journey within the store in all areas.

    Uses

    Measuring the number of visitors enter the store

    Comparing sales data with footfall data or purchasing group

    Measuring customer engagement across multiple areas of interest

    Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)

    Equipment Used

    1

    1x 3D Pro2 for entrance counting

    2

    1x 3D Pro2 for point-of-sale display engagement tracker

    3

    6x 3D Pro2 for In-store shopper journey (depending on the number of area of interest)

    Metrics

    Visitor Count (In/Out)

    Visitor Count (Kids/Adult)

    Outside Traffic

    Turn in rate

    Dwell Time

    Returning customer

    Live Occupancy Count

    Sales Conversion

    Group Count

    Heatmap & Customer Engagement

    Zone Analytics

People counter | Visitor counting | Retail store sensor

People counter for multiple retail stores offers an intuitive analytic workspace for retailers to calculate and review their sales target.

RetailDemographic™

Utilising FootfallCam Centroid™, the facial features of customers can be recognised and analysed using the video stream from your existing CCTV system.

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Capture the Demographic Features of Your Customers

With the intelligent video analytics technology, the people counter can combine the feature to allow more in-depth analysis on the customer profiling like gender, age group and mood.

Reuse your existing CCTV system

Facial recognition with AI Video Analytics

Visitor verification, for e.g.: VIP customers , blacklisted individuals

Help businesses have a better profile of their customer base

Facial Attributes Analysis

The facial features, age group and gender of each customer can be recognised and analysed, it helps retailers to categorise their customers and plan for a more targeted sales and marketing strategy.

Watch How it Works

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Why is using the number of customers entering a shopping center a more accurate measure of traffic?

Demographic Analytics Report

Analysing the demographic of your customer base with ready-made reports, determine if businesses are reaching out to their target audiences.

How many percent of your customers are male/female?

What are the age groups for each gender?

Did my customers have a positive/negative experience in your store

Download Report

How do you measure customer traffic?

Common retail traffic counting systems use sensors at the entrance areas to count the number of visitors to the store. Infrared technology is used to register customers coming in or going out of the store by counting each time a beam is broken.

Why is it important to measure traffic in stores?

Foot traffic is an important metric to understand for store management because it can help analysts measure the success of store marketing campaigns and assess inventory levels.

How do you assess customer traffic in malls?

Measure mall traffic Strategically place people counters in entrance points, parking garages, and entrances to specific venues spaces to track where your visitors are going. Over time, the data collected will help give you an idea of successful mall traffic trends and also areas that need improvement.

What is the most important factor for a consumer in choosing where to shop?

You can go anywhere in the world yet still discover, that for many consumers, price is the most important factor that determines where and when to shop. However promotional offers, customer service, the retailer's reliability, choice and convenience are other factors that consumers take into consideration.