ROI Guide for Digital Leasing Software

Most leasing teams can quote their occupancy to one decimal place. Far fewer can say, without opening three spreadsheets and an email thread, how many leases expire in the next 90 days that still have no renewal offer out. That gap is where the return on digital leasing software actually sits, and it is the reason so many business cases get written around the wrong numbers.

Price the status quo before you price the software

A vendor quote is easy to read. The cost of the way you work today is not, because nobody invoices you for it. Before any demo, put a number on four things:

• Admin minutes per lease event. Time a leasing associate on one renewal: pull the current terms, check the rent schedule, draft the offer, chase the signature, update the rent roll. Multiply by expiries per year.
• Missed dates. Rent escalations that were never applied, option windows that lapsed, notices sent late. Pull the last 24 months and count them honestly.
• Days vacant per turnover. Not the portfolio average. The median and the worst quartile, because the worst quartile is where software earns its keep.
• Cost per turnover. Make-ready, marketing, concessions, and lost rent. Many communities land somewhere between one and two months of rent once everything is counted.

These four lines are your baseline. Everything the software claims to improve has to be measured against them, not against a brochure.

The returns arrive in a predictable order

Teams that have run this kind of rollout tend to see the same sequence. Admin hours come back first, usually within the first quarter once the lease data is loaded. Missed dates stop happening next, because contract lifecycle management with renewal tracking turns a calendar risk into a task queue. Vacancy days shorten third, and only once the team trusts the 120-day expiry view enough to start outreach early. Retention improves last, because it depends on resident behaviour, not on the tool.

This order matters for how you present the case. If you promise retention gains in month three, finance will remember it in month nine. Promise admin recovery in month three and vacancy reduction by month twelve, and you will probably beat your own forecast.

A worked model you can adapt

Treat the following as a template with placeholder assumptions, not a benchmark. Take a 400-unit community with 55% annual expiries, average rent of 1,500 per month, and a median of 21 days vacant per turnover.

• Admin recovery: 220 expiries a year at 90 minutes each is 330 hours. Cut that to 35 minutes and you free roughly 200 hours, close to five working weeks of one associate.
• Vacancy days: if 35% of expiries turn over (77 units) and earlier outreach trims the median from 21 to 16 days, that is 385 recovered days, or about 19,000 in rent at 50 per day.
• Missed escalations: three unapplied increases of 60 a month on twelve-month terms is 2,160 that simply disappears. Software catches these every time.
• Retention: moving renewal rate from 65% to 68% keeps seven more residents. At one and a half months of turnover cost each, that is roughly 16,000.

Set those four lines against your licence, implementation and training costs for year one, then run years two and three with no implementation cost. Replace every assumption with your own figures. The structure holds even if the numbers change.

The implementation detail that decides year one

Here is what anyone who has done this twice will tell you: budget more time for abstracting your existing leases into the system than for configuring the system. The software goes live in days. Getting 400 leases with their clauses, dates, escalations and addenda entered correctly can take weeks, and if the team does it between tours it takes months. Every lease loaded with a wrong date produces a wrong alert, and after a handful of wrong alerts the team stops trusting the alerts. The vacancy and retention returns in your model depend on that trust. Pay for the data load, or assign it as a dedicated project, and the rest of the business case tends to follow.

Where foot traffic belongs in a leasing business case

Lease administration tells you what happened to the contract. It does not tell you what happened in the building. Three places where a people counting system adds a line to the ROI model:

• Leasing office conversion. A door counter at the leasing centre gives you walk-ins per week. Divide signed leases by walk-ins and you have a conversion rate per associate, per campaign, per season. Marketing spend finally has a denominator.
• Amenity decisions. Resident experience teams are regularly asked to justify a gym refit or a co-working lounge. A people counting sensor at the amenity entrance replaces anecdotes with hourly usage, which either supports the capex or stops it.
• Mixed-use ground floors. If your community has retail or service tenants below the residential floors, those tenants negotiate on footfall. Vemco's VemLease module handles the lease administration, renewal tracking and vacancy management for that commercial space, while VemCount supplies the visitor data the rent conversation is built on.

If you add counting to the model, be honest about accuracy. Vemco's people counting software works to a contractual minimum of 96%, and typically achieves 98 to 99% where lighting, layout and visitor behaviour allow. Staff-exclusion algorithms remove leasing associates and maintenance staff from the count, which matters at a leasing office where employees pass the entrance more often than prospects do.

Questions that separate real ROI from a demo

• How does the system handle a lease with a non-standard escalation clause, and can we see one entered live?
• What does the 120-day expiry view look like for a community manager, not for a regional director?
• Can renewal, vacancy and commercial leasing analytics be exported to the BI tool finance already uses?
• If we add a footfall counter at the leasing office, does that data appear alongside the leasing pipeline or in a separate dashboard?
• Who loads the first 400 leases, and what does that cost?

A vendor who answers the last question with a straight number is usually one who has done this before.

Frequently asked questions

How much do people counting sensors cost? Hardware pricing depends on the sensor type, mounting height and number of entrances, and Vemco is sensor-agnostic, so you can choose devices from partners such as Xovis, Milesight, Hikvision or AXIS to fit the budget. For a leasing office or amenity entrance, a single-sensor installation is the usual starting point, with software licensed per device. Ask for a quote based on your entrance count rather than a list price.

How to measure foot traffic in a store? Mount an accurate visitor counting system above each entrance, calibrate it for the doorway width and lighting, and let it run for two full weeks before drawing conclusions. Compare the count to transactions or, in a leasing context, to tours and signed leases to get a conversion rate. Exclude staff from the count so the figure reflects genuine visitors.

If you are building an ROI case for digital leasing software and want to see how VemLease handles renewal tracking and vacancy management alongside leasing-office visitor data, contact the Vemco Group team at https://vemcogroup.com/contact-us and bring your expiry schedule to the first call.