CRE Comps Database
How CRE acquisition teams can build a proprietary comp database from every deal they review, including rent comps, sales comps, expense comps, source documents, and model outputs.
Acquisition run
Extract -> Normalize -> Catalog -> Filter -> Reuse
Your model stays intact
Sources stay reviewable
Every run builds memory
In Brief
A CRE comps database organizes rent comps, sales comps, expense comps, property metadata, source documents, and model outputs so acquisition teams can compare future opportunities faster. Primer helps teams build this database automatically as part of each deal run instead of maintaining a separate manual tracker.
Teams see thousands of data points across OMs, rent rolls, T-12s, market reports, and prior bids. Without a system, that knowledge stays trapped in individual files and analysts' memories.
Primer can catalog data from each reviewed deal so the next underwriting run can benefit from the firm's own deal history.
Workflow
A connected acquisition run from source material to reviewable deal intelligence.
Extract
Normalize
Catalog
Filter
Reuse
How to compare
Manual comp spreadsheet
Flexible
Hard to maintain and trust
External data vendor
Broad coverage
Not always your proprietary deal flow
Primer deal database
Internal memory
Built from your reviewed opportunities
FAQ
It is a structured database of comparable properties, rents, sales, expenses, and source context used to evaluate commercial real estate opportunities.
Primer organizes the deal data your team has already reviewed, creating proprietary firm memory rather than only relying on external market datasets.
Acquisition teams often need table views for filtering and map views for location-based comparison.