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.
Retail results, with the evidence behind them
V-Count helps retailers turn visitor data into staffing, campaign and conversion decisions. Start with these customer-reported examples, then open the full story to see the source and deployment context.
| Customer | Reported evidence | Scope and timing | Read or watch |
|---|---|---|---|
| MINISO | Conversion rose from about 8–9% to 15–16%. | Two years in the stores discussed. Exact dates, store count and transaction/visit totals are not published in the interview. | MINISO story Customer interview ↗ |
| Tai Loy | V-Count implemented in 84 stores, with reporting operational. | 130 stores in the wider business at interview time. Deployment coverage is not a conversion-uplift figure. | Tai Loy story CEO interview ↗ |
| Samsung | Conversion increase of over 5% reported for the Turkey deployment. | Historical PDF cites January 2017 installation and 70+ store coverage. Measurement end date and relative-versus-percentage-point basis are unspecified. | Samsung story Original case PDF ↗ |
The figures above describe individual customer accounts. Store-network size, implemented stores and measured outcomes are different measures. Historical deployments may use earlier V-Count products; discuss current Nano AI and BoostBI requirements with our team.
Explore how V-Count can measure the opportunity in your stores →
Case study · Consumer electronics retail
Samsung: Global People Counting With a Reported Conversion Increase of Over 5%
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, visitor counts give regional teams a common basis for comparing traffic and conversion. Today, V-Count’s BoostBI platform brings these measures together for multi-store reporting; current product capabilities should be scoped separately from the historical case result.
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.
Source and measurement context
The published Samsung case study records a partnership from 2016, coverage of more than 70 stores and installation of 3D Alpha+ devices in January 2017. It reports a conversion increase of over 5% in Turkey after installation. The PDF does not give starting and ending conversion rates, an end date for measurement, or the transaction and visit totals. It does not specify whether “over 5%” means relative growth or percentage points, so it should not be restated as a five-percentage-point gain. The wider regional rollout described here is a separate deployment overview.
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. V-Count combines people-counting hardware with BoostBI reporting to support the transition from legacy counters. Installation timing, calibration and reporting continuity should be agreed for each store’s entrance, network and existing setup.
The results
The GUESS story illustrates a route from legacy counters to V-Count’s current people-counting and reporting tools. In the public review below, Alex describes a positive experience across five GUESS stores. That review supports those five stores’ experience; it does not establish a measured result for the entire North American network.
Plug-and-play migration, store by store
A practical V-Count migration starts with an entrance and connectivity review, followed by installation, count validation and a reporting handover. Ask V-Count to confirm the schedule, historical-data needs and any third-party compatibility before defining your rollout.
“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. These figures are an interview-time snapshot, not a current deployment total. The customer interview does not state a measured percentage uplift in conversion or a dated before-and-after transaction/visit dataset.
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.
The headline’s rounded example, 8% to 15%, is a 7-percentage-point increase, not a 7% relative increase. The customer’s spoken ranges—about 8–9% to 15–16%—remain the reported result. The interview gives a two-year interval, but does not publish exact measurement dates, the store count or the underlying transaction and visit totals. It should not be presented as a guaranteed result for other retailers.
“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 DemoRetail Case Studies: Frequently Asked Questions
What can retailers learn from people-counting case studies?
V-Count’s customer stories show why sales figures become more useful when paired with store traffic. MINISO used visitor data to review campaigns and staffing while keeping attention on conversion. Tai Loy used reports to align shifts with busy hours and compare stores. The practical lesson is to turn measurement into a specific operating decision, then track the outcome for the same stores and reporting period.
Which retail analytics case studies show how visitor data can improve conversion?
Start with V-Count’s MINISO case study: the team reports conversion moving from about 8–9% to 15–16% over two years in the stores discussed. The Samsung case reports an increase of over 5% for its historical Turkey deployment, without specifying the percentage-point basis. V-Count’s source-linked stories help you assess the reported result, the actions behind it and the measurement detail available before setting your own targets.
Are there customer reviews and case studies of smart retail implementations?
Yes. V-Count provides customer interviews with Tai Loy and MINISO, an original Sephora case-study PDF, and a GUESS story with a linked public review. These accounts help retail teams compare implementation experience, reporting use and support. V-Count can then demonstrate how a current solution would fit your entrances and reporting needs.
What benefits do retailers get from installing people-counting sensors?
V-Count gives retail teams a visitor baseline for staffing, campaign evaluation and store comparison. In the Tai Loy case, traffic reports helped managers reorganise shifts and plan promotions around visitor patterns. When compatible transaction data is supplied, V-Count’s BoostBI platform can also help teams examine conversion alongside traffic. The value comes from using those findings to guide store decisions; the case study does not promise a fixed uplift.
What does conversion rate mean in a retail case study?
Retail conversion rate is the number of eligible purchase transactions divided by eligible store visits for the same period, multiplied by 100. V-Count supplies visitor data and helps teams align it with transaction reporting in BoostBI. A move from 8% to 15% is a 7-percentage-point rise; relative growth would be 87.5%. These rounded endpoints illustrate the distinction, while the MINISO interview reports ranges of about 8–9% to 15–16%. Agree staff exclusion, repeat-entry rules and the sales-data definition before comparing stores.
Which global brands use V-Count for people counting?
V-Count’s case studies include Samsung, Bang & Olufsen, Swatch, GUESS, Sephora, Tai Loy and MINISO. V-Count’s published company facts report 600+ companies in 30+ countries. That is V-Count’s overall reach, not the deployment footprint of any single customer. Explore the V-Count clients page and the individual stories above for relevant retail examples.
Can V-Count replace a legacy people-counting system?
Yes. The GUESS case study describes a move from a legacy counter to V-Count Nano solutions. For your project, V-Count can review entrance coverage, mounting, connectivity, calibration, report requirements and the handover to BoostBI. Installation time and any third-party data compatibility depend on the site and system, so confirm those requirements in a V-Count demo and rollout discussion.