Case Studies: How Global Brands Grow With V-Count
See how retail teams use V-Count to plan staffing, measure conversion and make better commercial decisions. Explore customer stories from Samsung, GUESS, Sephora, Tai Loy and other leading retailers.
Case study · Consumer electronics retail
Samsung: Global People Counting With a 5% Conversion Increase
The challenge
Samsung’s retail network in Latin America and the Gulf region spans dozens of markets with very different traffic patterns, staffing models and store formats. Without a single, accurate source of footfall truth, comparing store performance across countries — and knowing whether a low-sales day meant low traffic or low conversion — was guesswork.
The solution
Samsung deployed V-Count sensors with the BoostBI analytics platform in most of its stores in Latin America and the Gulf region, across more than 25 countries. At participating stores, sensors report bidirectional visitor counts with up to 99% accuracy, staff are excluded from the data automatically, and BoostBI benchmarks store performance against the network in real time — in one dashboard for regional teams.
The results
In its published Turkey case study, Samsung reported a conversion rate increase of over 5%. This result relates to the Turkey deployment, separate from the broader Latin America and Gulf rollout. Regional managers now schedule staff to real peak hours, measure the effect of launches and campaigns on actual walk-ins, and compare markets on identical metrics.
One benchmark across every market
With consistent visitor measurement and automatic staff exclusion at participating stores across 25+ countries, Samsung regional teams can compare locations in Latin America and the Gulf region using the same metrics. BoostBI benchmarks each store against the wider network in real time, so a slow day can be read as low traffic or low conversion instead of guesswork.
“We have been continually improving our customer services and profitability … with the support of the reports provided by their system.”
See your stores the way Samsung sees theirs.
Get a Free Live DemoCase study · Luxury audio retail
Bang & Olufsen: Global Visitor Analytics Driving Sales in Every Store
The challenge
Bang & Olufsen sells experiences: listening rooms, demonstrations, long consultative visits. In that model raw sales numbers say little on their own — the brand needed to understand how many people actually walk in, how long they engage, and how effectively each boutique turns visits into ownership.
The solution
Bang & Olufsen selected V-Count globally for visitor analytics. GDPR-compliant sensors count every visit without recording a single image — data is processed on the device itself — and BoostBI gives every store and the global retail team the same real-time view of traffic, conversion and peak-hour patterns.
The results
The company reports increased sales across all of its stores worldwide. Store teams staff demonstrations to actual traffic curves rather than assumptions, and the retail organization compares boutiques from Copenhagen to Seoul on one consistent set of visitor metrics.
A single global standard
Rolling visitor analytics out across stores worldwide gave Bang & Olufsen one consistent definition of footfall, conversion and peak hours everywhere it trades. Instead of every market measuring differently, performance can be compared like-for-like from one store to the next.
For a brand built on precision, visitor data had to meet the same standard — accurate, private, and identical in every store on earth.
Premium retail runs on premium data.
Get a Free Live DemoCase study · Watches & fashion retail
Swatch: A Global Partnership for Optimized Retail Operations
The challenge
Swatch stores live in the world’s highest-traffic retail locations — malls, high streets, airports — where rent is priced on footfall. Operating profitably in those locations means knowing precisely how much of that traffic enters, when the peaks hit, and how each store converts it.
The solution
Swatch has been partnering with V-Count globally for visitor analytics. Sensors at every entrance measure true visitor traffic — groups recognized, staff excluded — while BoostBI turns the counts into hourly conversion, benchmark and staffing insights that store and regional managers act on daily.
The results
The partnership has led to optimized retail operations across Swatch stores: staffing aligned to real peaks, store performance judged on conversion rather than raw revenue, and location decisions informed by measured traffic instead of estimates.
Built for a global rollout
Standardised people counting across 30+ countries means Swatch measures foot traffic and conversion the same way in every market. That consistency makes it possible to see which locations and layouts turn browsers into buyers, and to share what works across the network.
In footfall-priced locations, the retailer who measures traffic best negotiates, staffs and sells best.
Turn high-traffic locations into high-conversion stores.
Get a Free Live DemoCase study · Fashion retail · North America
Guess USA: Migrating From a Legacy Counter to Nano AI Across North America
The challenge
Guess USA had been running its North American stores on a legacy people counting system — aging hardware, dated accuracy, and analytics that no longer matched how a modern retail team works. Replacing an installed base across a continent is exactly the kind of project retailers postpone: too many stores, too much disruption.
The solution
In 2025 Guess USA began rolling out V-Count Nano solutions across its retail stores in North America. Nano’s plug-and-play design made the migration practical: sensors install in under five minutes, are configured and calibrated remotely, and BoostBI was live for store teams from day one — no data blackout during the switch.
The results
Guess now runs its North American network on current-generation 3D counting with up to 99% accuracy, staff exclusion and group counting — and its teams work from real-time dashboards instead of a legacy report queue. The migration itself proved the point: a continent-wide sensor replacement doesn’t have to be a construction project.
Plug-and-play migration, store by store
Because V-Count Nano installs in under five minutes per sensor and is configured and calibrated remotely, Guess USA could replace an aging, continent-wide counting system without closing stores or disrupting trade. BoostBI was live for store teams from the moment each location switched over.
“We’ve had a great experience working with V-Count across our five stores at GUESS.”
Still on a legacy counter? Migration is easier than you think.
Get a Free Live DemoCase study · Apple Premium Reseller · Retail
Inter-actif: Protecting a Premium Apple Retail Experience
The challenge
As an Apple Premium Reseller, Inter-actif is judged on the quality of the in-store experience, not just on what it sells. A beautiful store is hard to run well without knowing how many people actually walk in, when they arrive, and how that footfall lines up with staffing and sales. Legacy counters and manual door tallies left too much of that to guesswork.
The solution
Inter-actif pairs V-Count people-counting sensors with the BoostBI analytics platform. Every entrance reports accurate, bidirectional visitor counts, staff are automatically filtered out of the data, and BoostBI turns raw footfall into conversion rate, peak-hour patterns and staff-planning insight inside one dashboard for every store.
The results
With a dependable footfall baseline, store and area managers can compare locations on the same yardstick, roster staff around real traffic peaks instead of averages, and see whether merchandising and appointment changes actually move conversion, rather than reading sales figures alone.
The goal was simple: run every store on facts, not guesswork.
See how V-Count can turn your store traffic into decisions.
Get a Free Live DemoCase study · Home improvement & DIY retail
Bauhaus: Turning Big-Box Footfall Into Smarter Store Operations
The challenge
Home-improvement stores are big, busy and hard to read. With large floor areas, multiple entrances and strong weekend and seasonal swings, Bauhaus needed an accurate, consistent way to measure how many customers came in and how that traffic translated into sales and staffing needs across very different store sizes.
The solution
V-Count people-counting sensors capture accurate entrance traffic across the estate, while BoostBI converts it into conversion, peak-hour and store-comparison analytics. Because measurement is consistent from the smallest branch to the largest big-box store, every location is compared on the same basis.
The results
Operations and store teams get a reliable footfall baseline they can plan around, schedule staff against genuine peaks, and use to judge the impact of layout and promotion changes on conversion, not just on takings.
In a big-box store, small gains in conversion add up fast.
See what accurate footfall could do for your stores.
Get a Free Live DemoCase study · Beauty retail
Sephora: Turning Visitor Insight Into Stronger Store Conversion
A long-term partnership across more than 100 shops
Sephora has been running V-Count across more than 100 shops for many years. Over that partnership, Sephora has significantly increased its conversion rate, using visitor insight to better understand store performance and the opportunities behind its sales figures.
The challenge: understand what happens before a sale
Sales totals show how much a store sells, but they do not show how many visitors leave without buying. In beauty retail, where advice, product discovery and staff availability can influence a purchase, that missing context matters. A busy store and an effective store are not always the same thing.
The solution: connect store visits with commercial performance
V-Count provides the footfall data needed to put sales into context. Comparing visits with transactions helps retail teams understand conversion: how effectively a store turns its visitor traffic into purchases. Managers can then distinguish a traffic problem from a conversion problem and investigate the right cause.
The business benefit: more value from existing store traffic
Sephora’s significant conversion improvement means a greater share of visits becomes purchases. For a retailer, that is a direct way to make better use of the demand already reaching its stores. Visitor reporting also gives managers a basis for reviewing busy periods, service coverage and differences between locations.
Support that continues as stores change
A relationship spanning many years must also work through refits and changing store requirements. In Sephora Turkey’s published case study, its leadership highlights V-Count’s agility and flexibility during a demanding renovation programme.
“V-Count has demonstrated significant agility and flexibility during our store renovations…”
See where your stores can turn more of their existing visitor traffic into sales.
Get a Free Live DemoCase study · Office, school & specialist retail
Tai Loy: Turning Traffic Data Into Better Staffing and Commercial Decisions
*Figures reported by the CEO at the time of the interview.
Watch the CEO explain the impact
Óscar Pizarro Guillus, General Manager of Tai Loy, explains how the retail team uses visitor analytics in day-to-day operations and commercial planning. The interview is in Spanish.
Watch the full interview on YouTube ↗
The challenge: make store decisions with better evidence
Tai Loy serves shoppers buying office supplies, school products, toys, technology and craft materials. In the interview, Pizarro describes a business with 60 years of history, 130 stores across Peru and Bolivia, and more than 2,000 employees.
The retail team needed information it could use to allocate shifts, assess promotions and compare stores. The project also needed a supplier that could take responsibility for installation and working reports, with a rollout schedule that kept operations running smoothly.
The solution: a phased rollout, with reports ready to use
Tai Loy selected V-Count for its advisers’ technical knowledge, understanding of retail operations, ability to deliver the complete implementation, and technical and commercial proposal.
The teams prioritised the most relevant stores, beginning in Lima before expanding to the provinces. According to Pizarro, V-Count met the agreed dates and completed implementation in 84 stores, with reporting operational. This is the implemented estate reported in the interview; the 130-store figure describes the wider business.
Better staffing when stores are busiest
Traffic reports helped Tai Loy reorganise shifts so more employees were on the sales floor when more shoppers arrived. Managers could use each store’s busy periods to decide when coverage was needed, improving staff allocation and the level of service available to visitors.
Promotions planned around actual visitor patterns
The team used daily traffic patterns to assess promotions and choose when to run them. That included concentrating activity on high-traffic days and adjusting commercial plans for quieter days. Managers gained a clearer basis for deciding whether an initiative should capture existing demand or help attract additional visits.
A clearer view of conversion and store performance
Reports let Tai Loy compare mall stores with street-front locations and examine conversion alongside sales efficiency. Conversion relates sales to the number of visits, helping teams distinguish traffic opportunity from how effectively a store turns visits into purchases. Pizarro describes using these measures to focus staff on selling and align stores around a common performance standard.
Customer insight that supports the next decision
The interview also describes using visit timing, dwell time and group patterns to understand how people shop with Tai Loy. The CEO highlights intuitive reports that teams across the organisation can use, and discusses potential future expansion to other channels, including wholesale. That expansion is a future opportunity described in the interview.
“As CEO of Tai Loy, I highly recommend V-Count’s solution because it helps us stay one step ahead in managing the customer experience.”
See how visitor data can support staffing, promotion planning and conversion across your stores.
Get a Free Live DemoCase study · Variety & lifestyle retail
MINISO: From 8% to 15% Conversion in Two Years
*Figures reported by the MINISO team in the interview, describing the stores discussed in that deployment.
Watch the MINISO team explain what changed
In this customer interview, MINISO’s team connects better visitor measurement with staff scheduling, campaign evaluation and a sustained focus on conversion.
Watch the full customer interview on YouTube ↗
The challenge: understand demand as shopping patterns changed
The team describes uncertainty about how many people would visit stores as it adapted to a new trading environment. Sales totals could show what had been sold, but managers also needed to know how many visitors had arrived, whether campaigns were attracting interest, and how effectively staff were turning visits into purchases.
The implementation: connect visitor counts with existing systems
MINISO prepared a network connection in each store. According to the interview, sensor installation followed quickly, the connection to its ERP system was straightforward through an API, and traffic statistics for all stores in the project were available within one week.
The practical benefit was a usable flow of visitor data alongside the business’s existing reporting. Managers could start assessing store traffic and conversion without relying on manual entrance counts.
Staff schedules matched to customer demand
A store-team contributor describes gaining more control over schedules and working hours. Matching coverage to visitor demand helped the team serve more customers and use payroll hours more productively. The interview also describes a positive effect on staff, who worked the hours needed by the store.
For retail managers, the decision becomes concrete: put sufficient people on the floor when service opportunities are highest, then assess whether that coverage helps turn visits into sales.
Campaigns assessed against visits and purchases
Daily traffic counts gave MINISO a clearer view of whether shoppers were responding to campaigns and seasonal activity. Looking at visits together with conversion helps separate two different questions: did the activity attract people, and did those visitors buy? That gives commercial and store teams a better basis for deciding what to adjust.
The reported result: sustained improvement in conversion
The interview describes a starting conversion rate of about 8–9%, rising to around 15–16% after two years in the stores discussed. Managers used the data to motivate their teams and keep attention on improving conversion. The result reflects a period of operational work supported by measurement and ongoing assistance; the interview does not isolate the effect of the sensors alone.
Using the video title’s rounded endpoints, 8% to 16% represents an 8-percentage-point increase and a doubling of the conversion rate. The interview’s spoken ranges give the more precise account of the reported result.
“We started two years ago with a conversion rate of about eight or nine percent. Now in MINISO, two years after, we are near 15 or 16 percent in each store.”
Find out how traffic and conversion reporting can support your store managers’ next staffing or campaign decision.
Get a Free Live DemoFrequently Asked Questions
Which global brands use V-Count for people counting?
V-Count serves 600+ companies in 30+ countries, including Samsung, Bang & Olufsen, Swatch, Guess, Nike, Cartier, Sephora and 11 Fortune 500 companies. Samsung alone runs V-Count in stores across 25+ countries.
What results do retailers report with V-Count?
Samsung’s published Turkey case study reports a conversion rate increase of over 5%. Across the platform, retailers use V-Count to increase conversions by up to 41%, cut queue wait times by 38% and reduce staff costs by up to 18%.
Can V-Count replace an existing legacy people counting system?
Yes. Guess USA migrated from a legacy counter to V-Count Nano across its North American stores in 2025. Nano sensors are plug-and-play, install in under five minutes, and BoostBI can also ingest data from other sensor brands during transition.
Where can I see more V-Count case studies?
Browse all client stories on the Clients page or watch video case studies including Miniso, Royal Academy of Arts and Veranda Mall on the V-Count YouTube channel.