tenant performance analytics — ROI Guide for Tenant Performance Analytics | Vemco Group

A tenant paying €80,000 in annual base rent while quietly converting 12% of the traffic you send to their door is a problem you cannot see on a rent roll. It only shows up when you put footfall and reported sales side by side. That single comparison — visitors in versus transactions out — is where tenant performance analytics starts earning its keep, and where most centers are still working blind.

The gap between occupancy and productivity

Most asset managers already track occupancy, rent per square meter, and arrears. Those tell you what a tenant owes, not what they are capable of paying. A store with strong footfall and weak conversion is either mismanaged or wrongly located — and each diagnosis leads to a different action. Without conversion data, you renegotiate on gut feel and usually leave money on the table, either yours or theirs.

Tenant performance analytics closes that gap by tying three numbers together per unit: entries, transactions, and turnover. Once those are linked, you can rank tenants not by size but by how efficiently they turn the traffic you generate into revenue. That ranking is the foundation for every ROI decision that follows.

Where the return actually comes from

ROI on analytics is not a single line item. It accumulates across four decisions you already make, done with better information:

• Turnover rent verification. When a tenant's lease has a percentage-of-sales clause, self-reported figures are the weakest point in your contract. Independent traffic and benchmark data let you challenge underreporting with evidence, not suspicion.
• Lease renewal pricing. A tenant outperforming the category benchmark can sustain a higher base rent. One underperforming on traffic they receive is a candidate for relocation or replacement — before renewal, not after another three lost years.
• Tenant mix planning. Knowing which categories convert best in which zones stops you from filling a high-traffic corridor with low-capture uses.
• Marketing attribution. When a campaign lifts center-wide footfall but only three tenants convert it, you know where to focus co-op marketing spend next quarter.

Accuracy is the number that decides whether anyone trusts the data

A leasing team will ignore a dashboard the first time a tenant credibly disputes the count. That is why counting accuracy is not a technical footnote — it is the whole basis of your leverage in a negotiation. Vemco commits to a contractual minimum of 96% accuracy, and in practice reaches 98–99% when conditions like lighting, store layout, and visitor flow allow. Being honest about that range matters: an installation with a cramped entrance or difficult lighting will land closer to the floor, and a tenant who spots inflated claims will discount everything you show them afterward.

A practitioner note here: the most common source of disputed counts is not the sensor but the counting line drawn across a doorway that also serves as a walk-through to a neighbouring unit. Before you argue with a tenant about their conversion rate, confirm the counting zone matches the leasable boundary. That single check resolves the majority of early complaints.

Benchmarking is where individual data becomes a management tool

A single store's conversion rate means little in isolation. The same figure compared against similar tenants across a portfolio tells you whether the problem is the operator or the location. This is the function VemTenant serves — automatic tenant revenue management and benchmarking built on VemCount data — with VemLease extending the same intelligence into leasing decisions. Instead of collecting spreadsheets from tenants at quarter-end, the revenue and traffic figures arrive continuously and are compared automatically.

Outlet Village Sofia used exactly this approach to become Bulgaria's first fully data-driven outlet village, running tenant and center decisions on measured performance rather than assumption. For an outlet format, where turnover rent and tenant rotation are constant, that continuous view is the difference between reacting a year late and adjusting in real time.

The operational cost side of ROI

ROI is not only new revenue. It is also what you stop paying for. Magasin replaced an outdated system with a hosted Vemco solution and cut operational costs in the process — no on-premise servers to maintain, no manual data consolidation, fewer hours spent reconciling tenant reports by hand. When you build an ROI case, put those recovered staff hours and retired maintenance contracts in the model. They are often the fastest part of the payback, arriving before the first renegotiated lease closes.

Building your own ROI model

Keep it concrete. For a center of, say, 60 units, work through this order:

• Recovered turnover rent: estimate the share of turnover-rent leases where reported sales are unverified, and apply a conservative correction once you have independent data.
• Renewal uplift: identify tenants above benchmark whose base rent lags their productivity — the realistic uplift on renewal is your second line.
• Cost removed: retired systems, reduced manual reporting hours, hosting instead of servers.
• Avoided vacancy: the value of catching a failing tenant one lease cycle earlier and re-letting before the space goes dark.

In most portfolios, any one of these covers the annual cost of the analytics platform. The combination is where the return becomes obvious. Since 2005, Vemco has deployed across more than 95 countries, so the benchmarking baseline you compare against is genuinely broad rather than limited to a handful of local peers.

If you want to model this against your own rent roll and tenant mix, bring your unit list and lease structures to a working session and we can map where the return sits first. Contact Vemco to build a tenant performance analytics ROI case specific to your center.