Case Studies

How Landlords Use People Counting Software to Set Fair Leases

Discover how shopping centre landlords leverage people counting software and footfall analytics to move beyond flat rates to performance-based leasing models.

By Sarah Chen · 12 min read · Aug 07, 2026

Most shopping centre landlords are still flying blind, relying on outdated annual surveys or gut feeling to price their most valuable assets. After fifteen years on the retail floor and managing large-scale commercial portfolios, I can tell you that the era of 'flat-rate' leasing is effectively dead. Forward-thinking property managers are now deploying sophisticated people counting software to bridge the gap between perceived value and actual foot traffic. This shift isn't just about collecting numbers; it's about creating a transparent, defensible ecosystem where rent is directly correlated to the opportunity a landlord provides. When you can prove that 50,000 qualified shoppers pass a specific storefront every week, the conversation with a prospective tenant changes from a negotiation to a data-backed business case.

The Death of the Fixed-Rent Model and the Rise of Footfall Analytics

In the current economic climate, retailers are demanding more accountability from their landlords. They are no longer willing to pay premium prices for 'dead zones' within a mall. This has led to the rise of turnover-based leases, but turnover data alone is insufficient because it doesn't account for the landlord's primary contribution: traffic. By implementing a robust retail people counting system, landlords can separate their performance (bringing people into the building) from the retailer's performance (converting those people into buyers). If traffic is up by 15% but a tenant's sales are down, the data clearly shows the issue lies with the store's merchandising or staffing, not the location. This distinction is vital for maintaining healthy, long-term landlord-tenant relationships.

Why AI People Counting Software is the New Gold Standard

Accuracy is the only currency that matters in commercial real estate. If you are going to base a legal lease agreement on traffic data, you cannot rely on old-school infrared beams that can't distinguish between a family of four and a delivery trolley. Modern AI people counting software uses 3D stereoscopic vision and machine learning to filter out staff, security guards, and non-prospects with 99% accuracy. This level of precision allows landlords to charge a premium for high-dwell zones. For instance, in a recent project I oversaw, we discovered that a 'secondary' corridor actually had higher dwell times than the main atrium due to the placement of seating and Wi-Fi hubs. We adjusted the lease terms accordingly, resulting in a 12% increase in Net Operating Income (NOI) for that wing.

Data without accuracy is just an opinion. In the boardroom, if your footfall figures can't stand up to an audit, you've already lost the lease negotiation.

Sarah Chen, Senior Retail Operations Consultant

Comparing Top Retail Analytics Software Solutions

Selecting the right technology stack is a critical decision that impacts the valuation of the entire property. Landlords need to look beyond the initial hardware cost and analyse the total cost of ownership, including data integration and cloud processing fees. The best people counting software provides more than just raw numbers; it offers heatmaps, path analysis, and predictive modelling. These features allow asset managers to simulate how a new anchor tenant might redistribute traffic across the centre. We analysed four leading systems based on their utility for commercial landlords, focusing on their ability to handle high-density environments and their integration capabilities with existing property management software.

Maximising Asset Value Through Occupancy Counting

Beyond just leasing, occupancy counting plays a pivotal role in operational efficiency. By understanding real-time occupancy levels, landlords can optimise HVAC usage, schedule cleaning rotations based on usage rather than time, and manage security staffing. In one 1.2 million square foot shopping centre, we used footfall analytics to adjust the air conditioning loads in real-time. By syncing the HVAC system with the people counting software, the centre reduced its energy expenditure by 18% over six months. This directly improves the bottom line and increases the overall valuation of the asset, making it more attractive to institutional investors who prioritise ESG (Environmental, Social, and Governance) metrics.

Tactical Implementation: Lessons from the Retail Floor

When you're ready to deploy a retail people counting system, the biggest mistake you can make is poor sensor placement. I've seen millions spent on high-end hardware that was rendered useless because it was installed behind decorative pillars or near fluctuating light sources. You need a comprehensive site survey. Start with the 'entry-exit' points to establish a baseline, but the real value is in 'zonal' counting. You want to know exactly how many people move from the food court to the fashion wing. This flow data is what allows you to justify 'linkage' fees to smaller tenants who benefit from the gravity of larger anchor stores. It's about quantifying the ecosystem.

1. Audit all entry and exit points to ensure 100% perimeter coverage.
2. Implement 'exclusion zones' for staff and delivery personnel to maintain data integrity.
3. Integrate footfall data with POS systems to calculate true capture rates.
4. Use heatmaps to identify 'dead zones' and plan pop-up activations to drive traffic.
5. Review data weekly with tenants to build a culture of transparency and partnership.

The future of retail property management is undeniably data-centric. As e-commerce continues to challenge physical stores, landlords must become more like digital platform operators, providing not just space, but an audience. By leveraging advanced people counting software, you stop being a rent collector and start being a strategic partner in your tenants' success. If you're still relying on pedestrian counts from 2019, you aren't just behind the curve—you're leaving millions in unrealised revenue on the table. For more insights on selecting the right tech, check out our guides on the truth about accuracy claims or our deep dive into the 2026 state of people counting.