Property Management
Revenue is growing.Your per-unit costs are growing faster.
Every property you add brings rent rolls and headaches in equal measure. One building spends $1,200 per unit on maintenance. A similar building across town spends $800. Nobody compares them because they report to different regional managers using different vendors. We embed with your team, map every property from leasing through renewal, and deploy AI specialists that find what your property management software buries in averages.
The Problem
Where the money
is going.
Cost
Maintenance Cost Variance
Your portfolio average maintenance cost per unit looks reasonable. But the average hides everything. One property manager calls a $185/hour HVAC contractor for every service request. Another property uses a $95/hour vendor for the same work on the same equipment. Each PM built their vendor list independently over the years. Nobody runs a cross-property comparison because the invoices live in different systems, coded to different GL accounts.
Process
Unit Turn Speed
A vacant unit costs $55 to $75 per day in lost rent. Your fastest property manager turns a unit in 5 days. Your slowest takes 18. The work itself is the same: paint, carpet, clean, punch list. The difference is coordination. One PM schedules vendors in parallel. The other waits for each trade to finish before calling the next. That 13-day gap on a $1,400/month unit is $600 in lost rent, repeated dozens of times a year across your portfolio.
Risk
Lease Administration Gaps
Rent escalation clauses get missed because lease expirations are tracked on spreadsheets that one person maintains. CAM reconciliations happen late or contain allocation errors that tenants dispute. A 3% annual escalation missed on a single commercial lease for two years is $15,000 you never collect. Multiply that across a portfolio and the leakage compounds quietly. By the time someone catches it, the recovery window has closed.
Knowledge
Tenant Retention Variance
A single turnover costs $3,000 to $5,000 when you add paint, carpet, cleaning, lost rent during vacancy, and marketing for a new tenant. One property runs a 68% renewal rate. A comparable property across your portfolio runs 49%. The gap isn't the buildings. It's how and when renewal conversations happen, how quickly maintenance requests get resolved, and whether anyone follows up after move-in. But no one tracks these process differences at the portfolio level.
How We Work
Three steps. Hands on.
We embed with your team, map your operation, find what no one could see, and deploy specialists that fix it. You get a dedicated team, not a login.
Map
We start with structured discovery across every property. Our team interviews regional managers, property managers, leasing agents, maintenance coordinators, and accounts receivable staff at each location. We connect to your property management software, maintenance ticketing, and accounting systems. The result is your Blueprint: a complete, live map of how your portfolio actually operates. Not the procedures manual. The real workflows, vendor relationships, and decision-making patterns that vary from property to property.
Uncover
We analyze everything we mapped. Our platform finds the maintenance vendors charging 90% more than comparable providers across your portfolio, the make-ready bottlenecks adding 10 days to your vacancy periods, the lease escalations that haven't been applied in two renewal cycles. We validate every finding with your team before acting on it. Not a one-time audit. Always running, always finding more.
Execute
Every finding comes with a concrete plan and a deploy button. We build AI specialists that handle the fix end to end. Flag maintenance cost outliers by trade and property, coordinate vendor scheduling to compress unit turns, surface missed rent escalations before the collection window closes, identify at-risk tenants before they give notice. You approve, they run. We stay with you to make sure they deliver.
Example Findings
What Yield typically finds.
Based on a typical mid-market company with $20M–$50M in annual revenue.
Cost
Maintenance Vendor Cost Variance Across Properties
$192K/yr
Cost
Vacancy Loss from Uncoordinated Unit Turns
$139K/yr
Risk
Missed Rent Escalations and CAM Reconciliation Errors
$84K/yr
Process
Regional Manager Time on Manual Vendor Comparisons
10 hrs/wk
Knowledge
Undocumented Property-Level Maintenance Procedures
23 properties
In Practice
See it work.
From day one.
Week 1
Discovery
We talk to every property.
AI-led conversations with every regional manager, property manager, leasing agent, and maintenance coordinator across your portfolio. Not surveys. Real conversations that capture the vendor preferences, the make-ready workarounds, the tenant retention tactics no system records.
Month 1
Blueprint + First Savings
Your Blueprint is live. Agents are saving money.
A complete, verified map of how each property operates, from leasing through maintenance through renewal. The first cross-property opportunities are identified. AI specialists are already flagging vendor cost outliers, compressing unit turn timelines, and surfacing missed lease escalations.
Ongoing
Continuous Returns
Savings compound. Every quarter.
Yield keeps finding inefficiencies, deploying specialists, and compounding savings. Vendor costs stay controlled as contracts renew. Vacancy losses shrink as make-ready processes tighten. Lease revenue stops leaking. The platform pays for itself and keeps going.
FAQ
Common questions.
Can Yield benchmark maintenance vendor costs across properties when each regional manager picks their own contractors?
That's the core problem it solves. Yield pulls every maintenance invoice across your portfolio, normalizes by trade and scope, and shows you which properties pay 40-90% more for identical HVAC, plumbing, or turnover work. Regional managers keep their autonomy, but now there's a cross-property benchmark. When one property pays $185/hour for the same furnace repair another property gets at $97/hour, the data surfaces it without anyone filing a report.
Our Yardi instance has ten years of inconsistent GL coding from multiple property managers, so how reliable is the data Yield pulls?
Yield doesn't depend on your GL codes being clean. It reads the underlying invoice detail, vendor records, and work order descriptions, then normalizes them into comparable categories across properties. Ten years of inconsistent coding is common in portfolios that grew through acquisition. The platform builds its own taxonomy from the source data rather than trusting the category someone picked in 2016.
We tried a tenant satisfaction survey program two years ago and it died within a quarter because property managers ignored it, so what makes this stick?
Survey programs fail because they add work to PMs with no immediate payoff. Yield doesn't ask your property managers to do anything differently. It captures renewal conversation timing, maintenance response speed, and follow-up patterns from the systems they already use, then identifies which properties retain tenants at 68% and which run at 49%. The difference isn't attitude. It's specific process gaps like delayed move-in follow-ups or slow work order resolution that have concrete fixes.
What happens with lease abstraction when our portfolio mixes commercial triple-net leases and residential units in the same property?
Yield handles mixed-use portfolios by treating each lease type on its own terms. Commercial leases get tracked for escalation clauses, CAM reconciliation deadlines, and option notice windows. Residential units get tracked for renewal timing, rent comp positioning, and concession burn-off. The platform flags a missed 3% annual escalation on a commercial lease the same way it flags a residential renewal that should have started 90 days before expiration. Both live in one Blueprint, but neither gets forced into the other's framework.
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See what Yield finds in
your portfolio.
30 days. Real results. Or walk away.