Buyer FAQ for Shopping Mall Analytics

Most mall analytics buyers don't get burned by the sensor — they get burned by the assumptions around it. A quoted accuracy figure means nothing without the conditions attached, and a "traffic dashboard" is worthless if it can't tie footfall to tenant sales. The questions below are the ones that actually decide whether a system pays for itself, drawn from what buyers ask right before they commit budget.

How accurate is people counting, really?

This is the first question, and the honest answer has a range. Vemco's contractual minimum is 96%, with typical performance of 98–99% when conditions cooperate. That last clause matters. Accuracy depends on lighting at the entrance, the width and layout of the opening, and visitor behaviour — groups walking abreast, people loitering in the doorway, prams and wheelchairs. Anyone who promises a flat 99% guarantee regardless of site is selling you a number, not a result. Ask instead how the vendor validates accuracy on your specific entrances, and what happens contractually if it drops below the minimum.

Footfall is easy to buy — why isn't that enough?

Counting people through a door is a commodity. The value shows up when that count connects to money. VemCount handles the traffic side, but VemTenant is what turns visitor numbers into tenant revenue management — automatically pairing sales data with footfall so you can see conversion rates store by store. A mall director who only sees "180,000 visits this week" learns nothing actionable. A director who sees that a fashion tenant converts 12% while a comparable neighbour converts 22% has a leasing conversation, a layout decision, and a marketing lever all at once.

Can I compare my tenants against each other?

Yes, and this is where benchmarking earns its keep. Comparing conversion, sales and engagement across tenants surfaces the outliers — the store pulling strong traffic but weak sales (a merchandising or staffing problem) versus the store with low traffic but high conversion (a visibility or signage problem). These are different fixes. Cross-tenant benchmarking tells you which one you're looking at instead of guessing. It also gives leasing teams evidence during renewals, and gives tenants themselves a reason to trust the numbers, since they can see where they sit relative to peers.

What does this actually run on day to day?

Vemco processes more than 85 million counts per day across sites in 95+ countries, feeding millions of precise data points into reporting continuously. For a buyer, the practical takeaway isn't the scale itself — it's that the platform has already handled the messy edge cases your mall will throw at it: multi-entrance sites, mixed tenant reporting formats, seasonal traffic spikes, and international rollouts across time zones and currencies. A system built since 2005 with 2000+ customers has seen your problem before.

Who inside the mall uses it, and how?

One reason deployments stall is buyers picture a single dashboard for one manager. In practice the data serves several roles:

• Centre management watches overall traffic, dwell zones and peak-hour staffing.
• Leasing teams use footfall-per-unit and conversion to price space and justify renewals.
• Marketing measures whether a campaign or event actually moved traffic and sales, not just impressions.
• Tenants get their own conversion and benchmarking view, which turns the mall from landlord into partner.

Buy it as one person's tool and you underuse it. Roll out access deliberately and adoption climbs.

A practitioner note on installation

Here's something field teams learn quickly: the hardest counting points in a mall are rarely the main entrances. They're the internal transitions — the corridor into a food court, the escalator landing, the shared entrance where two anchor tenants overlap. Direct sunlight through a glass atrium at certain hours can degrade a reading that was perfect at installation in the morning. The fix is planning sensor placement around the light and traffic patterns at your worst hour, not your calmest one. Push your vendor to walk the site at peak, not off-peak, before finalising mounting points. This single step prevents most of the accuracy disputes that surface months later.

How do I calculate ROI before I buy?

Don't build the business case on "better decisions" — that's unmeasurable. Anchor it to specifics: staffing hours saved by matching rosters to real peak times; conversion uplift from fixing one underperforming zone; leasing revenue defended when you can prove a unit's traffic value at renewal. Even a one or two point conversion improvement across a handful of tenants usually clears the cost of the system. Ask the vendor for the metrics that changed at comparable malls, then apply your own numbers.

What should I check before signing?

• The accuracy minimum in writing, plus the conditions that affect it.
• How tenant sales data feeds in — manual, POS integration, or automatic.
• Whether benchmarking is genuine cross-tenant comparison or just isolated dashboards.
• Support response times and who owns recalibration when a reading drifts.
• Data ownership and export — your numbers should leave with you if you ever switch.

If you're weighing mall analytics and want straight answers about accuracy on your entrances, tenant benchmarking, or how VemCount and VemTenant would map to your specific site, talk to the team directly at vemcogroup.com/contact-us — bring your floor plan and peak-hour headache, and ask them to show you the numbers on a comparable mall.