Mall Footfall, Tenant Sales and Rankings in One Platform
Shopping Center Statistics That Landlords and Tenants Can Act On
Footfall per entrance, floor and zone. Tenant sales, capture rate and conversion. Rankings and benchmarking across the whole portfolio. Vemcount counts the visitors, VemTenant collects the tenant revenue, and centre management, leasing and tenants work from the same numbers every week.
Four Numbers a Shopping Centre Must Know Every Week:
Footfall by Entrance and Hour
Total visitors is the headline, but the decisions sit underneath it. Footfall per entrance, per floor and per hour shows which doors carry the centre, when the peaks arrive and whether a quiet week was a traffic problem or a spending problem.
Capture Rate per Tenant
A shop can have a busy corridor and an empty floor. Capture rate compares the people who pass a shop front with the people who enter, so centre management and the tenant can see whether a unit converts the traffic the mall delivers.
Sales per Square Metre and per Visitor
Tenant turnover on its own rewards big units. Sales per square metre and sales per visitor put every tenant on the same scale, which is what leasing needs for turnover rent, renewals and tenant mix decisions.
Dwell Time and Zone Flow
Where do visitors go after the entrance, how long do they stay and which wings or floors do they never reach? Zone counts and dwell time show the real flow through the building, not the flow the floor plan assumed.
Vemcount and VemTenant
Shopping centre statistics in 2026 mean more than a visitor count at the main door. Landlords need footfall, tenant turnover and benchmarking together, so the centre is managed on sales per visitor and capture rate, not on a monthly traffic total.
The footfall side comes from Vemcount. Sensors at every entrance, on every floor and at escalators and car park links count visitors anonymously, and the platform turns the counts into trends per entrance, hour, day and season, with weather, holidays and opening hours separated from real changes in demand.
The revenue side comes from VemTenant. Tenants submit or update their revenue data in a simple web and mobile form, monthly or daily depending on the lease. A reporting status overview shows who has reported and who still needs a reminder, and as soon as the data is in, turnover statistics, tenant rankings and category benchmarks are ready for centre management and for the tenants themselves. Combined with footfall, every tenant gets a capture rate, a sales per visitor figure and a sales per square metre figure that can be compared across the centre and across the portfolio.
Vemco Group counts in more than 800 shopping centres, with over 55,000 installations in 98+ countries and more than 60 million people counted every day, built on 20+ years of people counting experience.
Mall Analytics: Seven Views of the Same Shopping Centre
Entrance & Floor Footfall
Tenant Revenue Reporting with VemTenant
Tenant Rankings & Turnover Statistics
Capture Rate & Zone Flow
Leasing & Asset Management
Marketing & Events
Portfolio Benchmarking & Reporting
A sensor at every entrance, on every floor and at escalators, lifts and car park links gives a complete picture of how people arrive and move through the centre. Vemcount shows footfall per entrance and per hour, compares this year with last, flags sensor outages and separates weather, holidays and opening hours from real changes in demand. Counting is anonymous and works with 3D and time-of-flight sensors from several manufacturers, so existing installations can be connected.
VemTenant replaces the spreadsheet and the chasing emails. Each tenant gets a login and submits or updates revenue data in a short web or mobile form, monthly or daily as the lease requires. Automatic reminders go to tenants who have not reported, the reporting status overview shows centre management exactly who is missing, and validation rules catch obvious errors before the figures reach the statistics. The result is a complete, comparable turnover dataset every period.
Once turnover is in, VemTenant calculates sales per visitor, sales per square metre and growth against last year for every tenant, and groups the results by category, floor and wing. The ranking report shows which tenants outperform their category and which fall behind, and the turnover statistics show how the centre as a whole is trending. Centre management uses it for leasing and marketing, and tenants see where they stand against the category average.
Capture rate is the share of people who pass a shop front and actually enter. Measured per unit, it shows whether a tenant converts the traffic the centre delivers or whether a good location is being wasted. Zone counting extends the same logic to wings, floors and food courts: how many visitors reach each area, how long they stay and where the flow breaks. Together they explain why two units with the same corridor traffic produce very different sales.
Footfall and turnover data change the leasing conversation. Percentage rent can be audited against reported turnover, renewals are negotiated on sales per square metre and capture rate instead of opinion, and tenant mix decisions are based on which categories draw traffic and which only benefit from it. Asset managers get a consistent, documented dataset for valuations, investor reporting and the annual business plan.
Every event, campaign week and late-night opening can be measured on the same basis: footfall against the comparable period, by entrance and by hour, and turnover uplift per tenant category once the revenue data is in. Marketing managers see whether an event brought new visitors or simply moved the weekend crowd, and opening hours decisions are made on the traffic curve rather than on habit.
Owners with several centres compare them on one screen: footfall per square metre, sales per visitor, capture rate and turnover growth, grouped by country, region or asset type, with time zones and local calendars handled automatically. The interface is available in 8 languages, scheduled reports go to centre managers and head office by email, and every metric is available through the API for Power BI, Tableau or the group data warehouse.
From Monthly Reporting to a Weekly Operating Rhythm
Most shopping centres still manage on a monthly footfall report and a quarterly turnover summary. The landlords that get the most out of Vemcount and VemTenant run a short routine on the same numbers every week:
- Monday footfall review: visitors per entrance and per floor against last week, last year and the portfolio average. Which entrances gained, which lost, and does the pattern match a campaign, a holiday, roadworks or the weather?
- Reporting status check: which tenants have submitted revenue data for the period and which need a reminder, so the turnover statistics are complete before the leasing meeting rather than three weeks after it.
- Ranking outliers: the tenants with the biggest change in sales per visitor or capture rate. A drop with stable corridor traffic points to the unit, not to the centre.
- Event and campaign readout: footfall uplift by entrance and hour, and turnover uplift by category, for anything that ran the previous week.
- Operations and opening hours: dwell time, zone occupancy and evening traffic used to adjust cleaning, security rosters and late-opening decisions.
Buy or Rent: Sensors and Software on Your Terms
Buy the Sensors
Purchase the people counting sensors for every entrance and floor outright and license Vemcount as a subscription per centre. The usual choice when the installation sits in a capital or fit-out budget and the owner wants to hold the hardware.
Rent the Sensors
Rent the sensors and pay one monthly amount per centre that covers hardware, software and support. No upfront investment, and shopping centre statistics become a predictable operating cost that can be recharged through the service charge where the lease allows.
VemTenant as a Subscription
VemTenant is licensed per centre as a software subscription, with tenant logins included. It runs on its own for revenue reporting and rankings, or together with Vemcount footfall for capture rate and sales per visitor.
Connect What You Have
Vemcount is hardware independent. If the centre already has people counters, we connect them to the platform and you pay only for the software. Start with one property, prove the value with leasing and marketing, and add the rest of the portfolio.
Who Uses Shopping Center Statistics, and What They Get
Asset Managers
One documented dataset for the whole property: footfall per square metre, turnover per category, capture rate and growth against last year. Used for the business plan, valuations, investor reporting and the case for refurbishment or re-tenanting.
Centre Managers
The weekly operating picture: which entrances are up or down, which tenants have reported, where dwell time is falling and which zones are under-visited. Scheduled reports arrive before the Monday meeting, not after it.
Leasing Managers
Sales per square metre, sales per visitor and capture rate per unit turn renewals and new lettings into a data conversation. Percentage rent is audited against reported turnover, and the tenant mix is planned on which categories actually pull traffic.
Marketing Managers
Footfall and turnover uplift for every event and campaign week, by entrance, hour and category. Marketing shows what it brought in, and the marketing fund is allocated to activities that moved the numbers.
Tenants
Tenants report revenue in a short web or mobile form and get something back: their own footfall, capture rate and sales per visitor against the category average. A shared view of the numbers makes the landlord and tenant relationship easier on both sides.
Investors & Valuers
Verified footfall and turnover history for the asset, consistent across the portfolio and exportable for due diligence. The same metrics that run the centre support acquisition, refinancing and disposal decisions.
Operations & Security
Live occupancy per zone and floor, peak-hour traffic per entrance and evening dwell patterns inform cleaning schedules, security rosters, car park management and safe-capacity limits for events.
A Solution to Every Problem
Luksusbaby A/S
Problem
Luksusbaby wanted to view real-time, accurate KPIs regarding their physical stores, such as hit and conversion rates, for improved decision-making.
Solution
Our solution helped Luksusbaby take action based on facts rather than intuition while discovering the age of their incoming visitors for accurate conversion rate data.
Daells Bolighus
Problem
Daells Bolighus struggled to keep up with the changing market and had been in an economic deficit for 16 years. The main problems were old-fashioned marketing strategy and a lack of insight into customer data.
Solution
Vemco Group installed people counters in both Daells Bolighus stores and integrated sales and visitor data from the physical stores with online data from their website, allowing them to view and compare data across locations.
Magasin
Problem
Magasin had an outdated, unreliable people counting solution and wanted a hosted solution, exporting data into a central BI system to give them insight into customer behavior in all their department stores.
Solution
We delivered an accurate, up-to-date people counting solution to Magasin, which allowed them to reduce operational costs by outsourcing their customer data to us.
Odense Municipality
Problem
Odense Municipality wanted to access insight into how the citizens and visitors of Odense use the city and act on these insights based on factual decision-making rather than intuition.
Solution
To measure how the citizens and visitors of Odense use the shopping street, we cover all relevant entrances and exits with weather-resistant sensors that cover heights up to 20 meters.
Frequently Asked Questions
What are shopping center statistics?
Shopping center statistics are the measured data a mall is managed on: footfall per entrance, floor and hour, tenant turnover, sales per square metre and per visitor, capture rate per unit, dwell time and zone flow, and how all of these compare with last year and with other centres in the portfolio. Vemcount supplies the footfall side from people counting sensors, and VemTenant collects and analyses tenant revenue, so the two sides can be read together.
How is mall foot traffic measured?
Mall foot traffic is measured with people counting sensors mounted above every entrance and, in most centres, on every floor and at escalators, lifts and car park links. 3D stereo and time-of-flight sensors count people entering and leaving anonymously, and Vemcount turns the counts into footfall per entrance, hour, day and season, with trends, comparisons and alerts for sensor outages or data gaps.
How do landlords collect tenant sales data?
With VemTenant, each tenant gets a login and submits or updates revenue data in a simple web or mobile form, monthly or daily depending on the lease. Automatic reminders go to tenants who have not reported, a reporting status overview shows centre management who is still missing, and validation catches obvious errors. As soon as the data is in, turnover statistics, tenant rankings and category benchmarks are calculated and, combined with footfall, every tenant gets sales per visitor and capture rate figures.
What is capture rate in a shopping centre?
Capture rate is the percentage of people passing a shop front who actually enter the unit. If 2,000 people walk past a store in a day and 300 go in, the capture rate is 15 percent. Measured per unit, it shows whether a tenant converts the traffic the centre delivers, and it separates a location problem from a store problem when sales fall.
How accurate is mall people counting?
The people counting sensors we supply are contractually guaranteed to a minimum of 96 percent accuracy and typically deliver 98 to 99 percent in daily operation, including at wide mall entrances with high traffic. Accuracy is verified at installation by comparing sensor counts with manual counts, and Vemcount monitors every sensor for outages and data gaps so a missing entrance never distorts the total.
Can tenants see their own data?
Yes. Tenants log in to VemTenant to submit revenue and to see their own reported turnover, footfall, capture rate and sales per visitor against the category average. Each tenant sees only their own unit and anonymised benchmarks, while centre management sees the whole centre. Landlords decide which metrics are shared.
Is mall footfall data GDPR compliant?
Yes. Counting is anonymous. 3D stereo and time-of-flight sensors measure depth and shape, not faces, and no identifiable images are stored or transmitted. Vemcount stores counts and metrics, not personal data, and VemTenant stores business revenue figures submitted by tenants, so shopping centre statistics stay within GDPR without consent notices for visitors.
Can I benchmark several shopping centres?
Yes. Owners with several centres compare them in Vemcount and VemTenant on footfall per square metre, sales per visitor, capture rate and turnover growth, grouped by country, region or asset type. The platform handles time zones and local calendars, the interface is available in 8 languages, scheduled reports go to each centre manager and head office, and every metric is available through the API for Power BI, Tableau or a group data warehouse.
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