MotionCRE Editorial
Written by the MotionCRE team.
Published July 13, 2026
A CRE buy box is the written set of criteria a firm screens every incoming deal against, covering asset class, target markets, deal size, vintage, occupancy, return thresholds, and deal structure. Each parameter is marked as a hard kill or a soft flag, every parameter traces back to the capital mandate, and the document is distributed to the whole team and reviewed quarterly so screening decisions stop depending on who happens to read the OM.
Start from the capital mandate
A buy box fails when it describes deals the team finds interesting instead of deals the capital is committed to buy. Before writing a single criterion, restate the mandate. Who gave the firm money, what return profile were they promised, over what hold period, with how much risk. Every parameter in the buy box should trace back to that answer. A value-add fund promising a 15 percent levered IRR over five years derives a very different vintage floor and market list than a core-plus separate account targeting 11.
The payoff for the discipline is measured in analyst hours. PropRise's analysis of screening workloads found that reviewing an OM without written criteria takes 20 to 30 minutes per deal, against under 5 minutes with a documented buy box, because most of the long version is hunting for the same six numbers in a differently formatted document. For a shop receiving 12 OMs a week and killing 80 percent, the difference compounds to roughly 170 analyst hours a year, about $8,500 per analyst at a $50 fully loaded rate.
The deeper payoff is consistency. When the criteria live in a principal's head, every screening decision is an interruption, and every analyst applies a slightly different version. The written box is what lets screening become a delegated, repeatable gate. If the term itself is new to anyone on the team, the buy box definition covers the concept and its origins.
The parameters that belong in the box
Published frameworks converge on a consistent core. PropRise's CRE-specific version runs eight parameters, from asset class through explicit deal-breakers, while HelloData's broader framing groups them as location, property type, price range, condition, size, and return metrics. For an acquisitions team screening institutional product, the working list is the following.
- Asset class and subtype, with the specificity of "garden-style and mid-rise multifamily" rather than "multifamily."
- Markets, named at the MSA level with target and avoided submarkets, because "the Southeast" screens nothing.
- Deal size, as total capitalization and as units or square feet, with the floor set by what fixed pursuit costs can justify and the ceiling set by equity capacity.
- Vintage and condition, a year-built floor plus what capital work the strategy tolerates.
- Occupancy and tenancy, minimum physical occupancy at close, plus asset-specific items like WALT or tenant concentration for net lease and industrial.
- Return thresholds, going-in cap rate, levered IRR for the stated hold, and average cash-on-cash.
- Structure, fee simple requirements, ground lease tolerance, JV appetite.
- Deal-breakers, the explicit exclusion list that gets checked every time rather than remembered most times.
A sample buy box you can copy
The table below is a complete buy box for a fictional value-add multifamily shop. Copy the structure into your system, replace the values with your mandate, and mark every row hard or soft. The hard and soft column is the part most firms skip and the part that makes the document usable, because it tells an analyst which misses end the conversation and which require a named exception.
| Parameter | Criteria | Hard or soft |
|---|---|---|
| Asset class | Garden-style and mid-rise multifamily, 100 to 250 units | Hard |
| Markets | Dallas-Fort Worth, San Antonio, and Oklahoma City MSAs, target submarket list maintained separately | Hard on MSA, soft on submarket |
| Deal size | $15M to $45M total capitalization | Hard |
| Vintage | 1985 or newer, 1975 to 1984 considered with full plumbing and electrical assessment | Soft below 1985 |
| Occupancy | 85 percent physical at close | Soft to 80 percent with rationale |
| Going-in cap rate | 5.25 percent or better on in-place NOI | Soft |
| Levered IRR | 15 percent or better, 5-year hold | Hard |
| Average cash-on-cash | 6 percent or better over the hold | Soft |
| Structure | Fee simple only, no ground leases, no condo-mapped assets | Hard |
| Deal-breakers | Flood zone A, rent control jurisdictions, unresolved environmental recognized conditions | Hard |
Note what the sample does with return thresholds. The IRR floor is hard because it restates the promise to investors, while the going-in cap is soft because a below-threshold cap with a demonstrable path to the IRR is exactly the deal a value-add fund exists to find. Which return metrics go hard is the most strategy-specific decision in the whole document.
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Hard kills, soft flags, and exceptions
A hard kill ends the review. The analyst logs the deal, records which criterion failed, and sends the decline. No meeting occurs. A soft flag advances the deal with the miss documented, and a named principal signs the exception before underwriting spends real hours.
Run the exception log as seriously as the box itself. If a quarter's log shows six exceptions and five stretched the vintage floor in the same direction, the market is telling you the floor is wrong, and the honest response is a rewrite. If exceptions are rare and scattered, the box matches the mandate. The log converts arguments about criteria into data about them.
The failure this system prevents shows up later as pursuit spend. A deal that should have died at screening but survives on vagueness dies at LOI or in diligence instead, after tens of thousands of dollars in reports and legal. When you run a dead deal post-mortem and code the loss as outside the buy box, that is the receipt for a screening gate that leaked.
Put the box where screening happens
A buy box in a drive folder gets read at training and then approximated from memory. The criteria need to sit inside the screening workflow, next to the deals they judge.
In MotionCRE, the buy box maps onto the pipeline directly. Deal size, asset class, market, units, and return fields are structured fields on every deal workspace, so the screening pass is a comparison against the OM rather than a document hunt. The pipeline board filters by asset class, deal size, and assignee, which keeps the screening queue visible instead of buried in an inbox, and a custom field records which criterion killed each declined deal. Over a year, that one field turns the decline pile into a dataset about where your deal flow and your mandate diverge.
Review it quarterly, rewrite it on evidence
Rentana's guidance on maintaining a buy box is to revisit it whenever goals, budget, or market conditions change, and for an institutional team the practical cadence is a standing quarterly review with rewrites triggered by evidence. Three signals matter most.
- Pass-rate drift. If nothing has passed screening in six months, the return thresholds are priced for a market that no longer exists. If most deals pass, the box is decorative.
- Exception clustering. Repeated exceptions in one direction are a rewrite instruction, as covered above.
- Post-mortem codes. Dead deals coded as criteria misses are the most expensive form of feedback the box will ever get.
Date each version and keep the old ones. A firm that can read its 2024 buy box next to its 2026 buy box has a record of its own judgment, which is worth more than most market reports. The buy box is a living restatement of what the firm believes, and the quarterly review is where the belief gets marked to market.
Browse more playbooks, templates, and definitions in the MotionCRE resource library.