Storefront Analytics
(Street Counting)

Transform Passersby into Loyal Customers

Count passersby, analyze their impression times, and optimize your storefront layout based on Boost BI insights. Increase your sales with V-Count’s Storefront Analytics solution.

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up to 99% Accurate Storefront Traffic Measurement

Create Captivating Storefront Displays

  • Use visitor analytics to analyze engagement rates, run A/B tests, and create attractive storefront designs.
  • Use visitor analytics to analyze your street traffic and negotiate better rental deals with the property owners
  • Compare footfall traffic on weekdays and weekends. Understand peak hours and lulls, adjust your stores’ operating hours accordingly and boost sales.

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What Is a Storefront Analytics Solution?

In the dynamic landscape of retail, understanding customer behavior is paramount. Storefront Analytics Solution is a state-of-the-art technology designed to do just that. It goes beyond traditional foot traffic counting, offering precise monitoring of impressions of your storefront and visitor trends. By installing sensors to your storefront and accurately capturing the number of people passing by your store, this solution provides comprehensive insights into passerby information. From your street traffic peak hours to impression durations and even detailed demographic breakdowns, including gender specifics, this solution equips retailers with invaluable data to optimize their storefront strategies, increase sales and reduce costs.

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Benefits of Storefront Analytics Solutions

Accurate storefront traffic measurement with V-Count street counting sensors

Accurate Storefront Traffic Measurement

V-Count’s Ultima Series sensors use advanced technology to precisely count passing pedestrians. This precise footfall data empowers retailers with valuable insights, enabling data-driven decision-making.

Impression time analysis for storefront foot traffic and passerby engagement

Impression Time Analysis

Storefront Street Counting not only tracks foot traffic but also measures how long people gaze at the storefront. Recognizing specific gaze durations as impressions, the sensor provides insights into display effectiveness and customer engagement impact.

Enhanced storefront layout optimization using analytics data

Enhanced Storefront Layout

Using data from Storefront Street Counting, retailers optimize storefront displays and layouts to attract more customers. Analyzing footfall patterns and impression times helps strategically position products and displays, increasing customer interest and conversion.

A/B testing for storefronts comparing window displays and promotions

A/B Testing for Storefronts

Retailers using V-Count Storefront Analytics Solutions can also conduct A/B tests for new products in your storefronts to identify what resonates most with customers and apply successful strategies across your retail chain.

Demographic insights for storefront visitors including age and gender analysis

Demographic Insights

You can understand your passersby traffic customer base’s demographics, including age and gender specifics, for targeted marketing campaigns at your storefront. With demographic data you have, you can increase your sales by tailoring your storefront displays and campaigns accordingly.

Strategic operating hours optimization based on foot traffic patterns

Strategic Operating Hours

The Ultima sensors’ advanced 3D stereo vision technology tracks foot traffic even in darkness, providing accurate trend insights. You can compare footfall traffic on weekdays and weekends. After pinpointing peak hours and lulls, you can adjust your stores’ operating hours accordingly and boost sales.

Rent negotiation support with verified foot traffic data for retail tenants

Rent Negotiation Support

Street counting is vital for assessing store property value, especially during rent negotiations. Storefront Street Counting offers precise footfall and impression time data, enabling retailers to negotiate rents with real-time insights, showcasing the true value of their location.

Boost storefront revenues with data-driven retail analytics

Boost Revenues

Accurate street traffic and impression times output will lead the way to irresistible storefront displays, optimized operating hours, enhanced marketing campaigns and lowered rent costs. As a result, retailers will overall revenues with V-Count Storefront Analytics Solution.

Industries We Serve

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Libraries & Museums >
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Duty-Frees >
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Telecom >
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Car Showrooms >
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Banks >
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Malls >
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Airports >
Svg+xml,%3csvg%20xmlns%3d&Retail >
Svg+xml,%3csvg%20xmlns%3d&Smart Buildings >
Svg+xml,%3csvg%20xmlns%3d&Events & Exhibitions >
Svg+xml,%3csvg%20xmlns%3d&Hotels >
Svg+xml,%3csvg%20xmlns%3d&Supermarkets >
Svg+xml,%3csvg%20xmlns%3d&Casinos >
Svg+xml,%3csvg%20xmlns%3d&Gas Stations >
Svg+xml,%3csvg%20xmlns%3d&Theme Parks >
Svg+xml,%3csvg%20xmlns%3d&Transportation >
Svg+xml,%3csvg%20xmlns%3d&Real Estate >
Svg+xml,%3csvg%20xmlns%3d&Betting Offices >
Svg+xml,%3csvg%20xmlns%3d&Restaurants & Bars >
Svg+xml,%3csvg%20xmlns%3d&Office Cafeterias >
Svg+xml,%3csvg%20xmlns%3d&Restrooms >
Svg+xml,%3csvg%20xmlns%3d&Healthcare >
Svg+xml,%3csvg%20xmlns%3d&Worship Spaces >
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Frequently Asked Questions

Everything you need to know about growing traffic, sales and efficiency with V-Count.

How do I increase sales at my store without spending more on marketing?
More sales usually come from converting the passers-by you already get, not from buying more traffic. By comparing visitor counts to transactions you get a conversion rate, and small lifts in conversion beat expensive ad spend. V-Count's BoostBI dashboard shows footfall, conversion and peak hours together so you can fix the real bottleneck.
How can I reduce operating costs at my store?
Most avoidable cost comes from staffing, energy and cleaning running on fixed schedules instead of real demand. When you know exactly how many passers-by are present by hour, you can align labour, lighting, HVAC and cleaning to actual occupancy. V-Count's anonymous counting and VCARE occupancy data make that possible without guesswork.
How many people actually visit my store?
Manual clickers and till counts miss browsers and undercount badly. V-Count ceiling sensors count every entry and exit anonymously with up to 99% accuracy and automatically exclude staff, so the visitor number in your BoostBI dashboard is the real one you can plan and budget around.
What are my store's busiest hours and days?
Guessing peak times leads to long queues at rush and idle staff when it's quiet. Hourly and daily footfall data reveals your true power hours. V-Count plots this automatically in BoostBI so you can schedule staff, deliveries and promotions around when passers-by are actually there.
What is a good conversion rate for my store, and how do I improve it?
Conversion rate is sales divided by visitors, and you can't improve what you don't measure — yet most stores never measure traffic at all. Once V-Count counts your passers-by accurately, BoostBI calculates conversion automatically so you can benchmark sites and test what lifts it.
How many staff does my store need, and when?
Staffing to a flat rota wastes money off-peak and hurts service at peak. Matching your staff-to-visitor ratio to real hourly traffic fixes both. V-Count's BoostBI shows visitor curves and can send real-time alerts so managers add cover exactly when passers-by arrive.
How do I cut waiting times and queues at my store?
Queues form when staffing doesn't match arrivals, and they quietly cost you sales and satisfaction. By tracking arrivals and occupancy in real time you can open desks or tills before a line builds. V-Count queue and occupancy data trigger alerts the moment a threshold is crossed.
How do I forecast busy and quiet periods at my store?
Reliable forecasting needs a clean history of who came and when. V-Count records every visit anonymously, so BoostBI can show seasonal and weekly patterns and help you forecast demand to plan staffing, stock and opening hours with confidence.
How can a physical store get the same analytics that online stores have?
Websites measure every visitor, bounce and conversion; most physical sites measure almost nothing. V-Count closes that gap by counting passers-by anonymously and turning it into e-commerce-style dashboards in BoostBI, so you can manage a physical location with the same rigour as an online one.
What is storefront analytics?
Storefront analytics measure the people passing your store and how many you convert into entries — your capture rate — so you can quantify the value of your location and window.
How do I measure my capture rate?
V-Count counts passers-by and entries, so BoostBI shows what share of passing traffic you pull inside and how it changes over time.
How do I know if my window display works?
Compare passers-by, attention and entries before and after a change. Attention and impression add-ons reveal whether a display actually draws people in.
How does storefront data help me choose or value a location?
Objective pass-by traffic lets you compare sites, justify rent and prove the commercial value of a storefront with data, not assumptions.
Can I link outside traffic to in-store behaviour?
Yes. Combined with in-store counting and heatmaps, you get the full funnel from passers-by to entries to conversion.
Is storefront measurement anonymous?
Yes. It counts anonymously with no facial recognition or personal data, so it is fully GDPR-compliant.
How accurate is V-Count, and how does it count people?
V-Count uses 3D Active Stereo Vision sensors with AI target tracking to deliver up to 99% counting accuracy, plus up to 90% accuracy on staff exclusion. The sensors are ceiling-mounted, count entries and exits in real time, and even count reliably in complete darkness.
Does V-Count integrate with my POS, CRM and other systems?
Yes. V-Count's BoostBI platform imports and exports data via API, so you can combine visitor counts with POS sales, staffing, CRM and building-management systems and see conversion and performance in one place.
How much does V-Count cost, and what is the ROI?
Pricing depends on how many sensors your site needs (driven by ceiling height, entrance width and number of doors). Most customers justify it quickly through better conversion, right-sized staffing and lower energy cost — request a demo for a tailored quote and payback estimate.
How hard is V-Count to install, and who already uses it?
Sensors mount on the ceiling at entrances and connect to the cloud, so installation is quick and low-disruption; V-Count's team advises on sensor count from your floor plan and supports installation worldwide. V-Count serves 600+ customers in 130+ countries, including 11 Fortune 500 companies.
What add-on solutions can I run on the same V-Count sensor?
One V-Count sensor can power people counting, real-time occupancy (VCARE), staff exclusion, group counting, child/adult differentiation, demographic (age & gender) analysis and heatmaps — so you can start with counting and switch on more insight later without new hardware.