Leasing

Tenant Retention Engine

Generates comprehensive tenant retention strategies with per-tenant renewal probability scoring, retention NPV analysis, WALT impact quantification, DSCR covenant monitoring, competitive intelligence, game theory framing for multi-tenant dynamics, and blend-and-extend modeling.

tenant retentionlease renewalWALT impact

Download the CRE Skills Plugin

Download Skills ZIPOpen GitHub sourceHow to install a skill

Latest release, portable bundle (signed). Review the SKILL.md files before installing into your agent.

dataTenant / personal data
What it does

Takes the rent roll, lease expirations, and market data, then returns per-tenant renewal probability scores, retention NPV versus re-leasing cost, WALT impact, DSCR covenant stress, competitive alternatives, and deal-structure proposals for each tenant.

Why it matters

Landlords make retention concessions on instinct, not math. They over-concede to tenants who would have stayed anyway, under-fight for anchors whose loss would breach a debt covenant, and miss that a blend-and-extend at below-market rent adds more property value than a short market-rate renewal when disposition is twelve months out.

How it's done today

An asset manager works through expiring leases one by one, pulls a few broker comps, builds a rough vacancy scenario in a spreadsheet, and calls the broker to gauge tenant interest. The DSCR and WALT implications rarely get modeled together, and game-theory sequencing of negotiations does not happen formally.

When to use it

Reach for it

Trigger it when a property has more than 20 percent of NRA expiring within 12 months, when a refinancing or disposition is inside 18-36 months and WALT is short, or when a DSCR covenant is at risk and you need to know the minimum renewal set to stay above the lender's floor.

Not the right tool

Not for tenants already delinquent or in default -- use tenant-delinquency-workout. Not for new development lease-up with no existing tenants -- use lease-up-war-room. Not for portfolio-wide rent optimization without a specific rollover problem -- use rent-optimization-planner.

What it needs and produces

Inputs

  • OM
  • Lease
Example use case

A 120,000 SF Class B suburban office has three leases expiring in 12 months totaling 38 percent of NRA. The owner targets a sale in 18 months. The skill scores the anchor law firm at 85 percent renewal probability, the insurance tenant at 55 percent, and a shrinking tech firm at 30 percent. It models the DSCR floor (two of three must renew to avoid covenant breach), shows a 7-year blend-and-extend with the insurance tenant at $1.50/SF below market adds $480K of value versus a 3-year market renewal, and flags the tech firm as a let-vacate candidate whose NPV(Retain) is negative.

Compatible agents

Agent personas that pair well with this skill

asset-managerleasing-directorproperty-managerleasing-managerportfolio-managerdisposition-manager
Works with

Pairs with

DD Command CenterDistressed Acquisition PlaybookJV Waterfall ArchitectNOI Sprint PlanDisposition Strategy EngineLease-Up War RoomTenant Delinquency Workout

Feeds in from

DD Command CenterDistressed Acquisition Playbook

Hands off to

JV Waterfall ArchitectNOI Sprint PlanDisposition Strategy Engine
Limitations

Market vacancy rates, competitive concession benchmarks, and TI cost ranges reflect the model's training data. User must supply current submarket comps for the competitive intelligence and NPV analysis to be accurate. The skill does not substitute for lease counsel review of renewal options, ROFO rights, or DSCR covenant language.