A mall can post record footfall in Q3 and still lose money, because the traffic arrived at the wrong doors, at the wrong hours, and left without buying. That gap between visitors and value is exactly where mall traffic analytics earns its keep. It stops being a curiosity report the marketing team glances at, and becomes the number your leasing negotiations, staffing rosters, and rent reviews are built on.
Vemco has been counting people since 2005, and today processes more than 85 million counts a day across 2,000+ customers in 95+ countries. That volume matters less as a bragging line than as a practical point: when you benchmark a struggling tenant against comparable stores, you want the comparison drawn from millions of precise data points, not a handful of local guesses.
Raw entry counts flatter everyone. The moment you divide transactions by visitors, the picture sharpens. A jewellery unit converting 8% of a modest crowd is often worth more per square metre than a fashion anchor converting 2% of a river of people. With VemCount feeding traffic and VemTenant pulling automatic tenant revenue figures, that conversion rate is calculated for you, per store, per day, without chasing tenants for spreadsheets.
This changes the tone of tenant conversations. Instead of "your sales are down," you can say "your footfall held steady but conversion dropped four points after you moved the till wall." That is a coaching conversation, not an accusation, and tenants respond to it very differently.
Leasing teams live and die by justification. When you set turnover rent, extend a lease, or decline a renewal, you need evidence that survives a boardroom challenge. Benchmarking conversion, sales, and engagement across tenants gives you that evidence in a shared frame.
For asset managers, this is also a valuation story. A centre that can prove tenant productivity with clean, consistent data presents far better to investors than one waving around self-reported figures.
One of the fastest returns comes from labour scheduling. When you know that Thursday evening between 18:00 and 20:00 carries a quarter of the day's traffic and its highest conversion, you staff for it. When you see that the first opening hour on weekdays draws almost no one, you have grounds to renegotiate mall opening times with tenants, cutting energy and payroll costs on both sides.
These are not exotic wins. They are recurring monthly savings that show up cleanly on a P&L, which is why operators tend to notice them first.
Campaigns, events, and seasonal activations are expensive. Traffic analytics lets you attribute them properly. Did the weekend food festival lift footfall in the units nearest the atrium, or did it just move existing visitors around? Did a paid social push bring net-new traffic on the target days, or coincide with weather that would have delivered anyway?
By overlaying dwell and zone-level counts with campaign dates, you find out which events deserve a bigger budget next year and which quietly cost more than they returned. That single discipline often reallocates a marketing budget more sensibly than any agency pitch.
Any analytics decision rests on trust in the count. Vemco works to a contractual minimum accuracy of 96%, and typically delivers 98–99% when conditions allow — meaning sensible sensor placement, adequate lighting, a store layout that doesn't force people to queue directly under a device, and visitor behaviour that isn't distorted by, say, a display blocking an entrance. Anyone promising a flat 99% in every environment is selling you a brochure, not a measurement system.
Here is the practitioner detail that rarely makes it into vendor decks: the biggest source of dirty data isn't the hardware, it's the physical world changing around it. A tenant repaints, moves a mannequin under the sensor line, or props a fire door for deliveries, and your counts drift. The centres that get real value assign one person to walk the sensors quarterly and check line-of-sight against the store's current layout. Fifteen minutes per unit protects months of decisions.
The most underrated benefit is cultural. When tenants can see their own conversion trend inside VemTenant, and how it sits against anonymised peers, the relationship shifts from adversarial to collaborative. A tenant manager who once resisted turnover reporting starts asking for it, because it shows when they're outperforming their category and strengthens their case at renewal.
That trust compounds. A centre where owners, leasing teams, and tenants all read from the same daily numbers argues less and plans more. Disputes over "our tills were quiet all month" evaporate when the traffic data either backs the claim or gently contradicts it.
The first month is usually about cleaning assumptions: which entrances actually dominate, which floors are dead zones, which "prime" units underperform their rent. The second and third months are where money moves — smarter staffing, sharper campaign spend, better-informed lease talks. By the time a full year of comparable data exists, you're forecasting rather than reacting, and that is the point where mall traffic analytics stops being a cost line and becomes an operating advantage.
If you're ready to see conversion, tenant revenue, and benchmarking working together on your own floor plan, talk to the Vemco team about a setup for your centre — and bring your toughest leasing question to the conversation.