Acquisition Memory
What acquisition memory means for CRE teams, and how Primer turns every deal run into reusable comps, fields, documents, records, and model outputs.
Acquisition run
Run deal -> Normalize data -> Save record -> Search later -> Use again
Your model stays intact
Sources stay reviewable
Every run builds memory
In Brief
Acquisition memory is the structured record of what a CRE team has learned from every deal it reviews: source documents, model outputs, rent comps, sales comps, expense data, custom fields, flags, and decisions. It helps teams stop losing deal intelligence across folders, inboxes, and disconnected spreadsheets.
Most teams learn from every deal, but the learning is scattered. Six months later, the rent roll, tax record, comp note, or model version is hard to find or hard to trust.
Each deal run can create structured records that are categorized by property, location, asset class, source documents, model output, and team-defined fields.
Workflow
A connected acquisition run from source material to reviewable deal intelligence.
Run deal
Normalize data
Save record
Search later
Use again
How to compare
Shared drive
Files stored
Hard to query and compare
Spreadsheet tracker
Rows stored
Often stale and incomplete
Acquisition memory
Deal intelligence stored
Structured for future review
FAQ
It is a structured, reusable database of the documents, metrics, comps, fields, assumptions, and decisions created as an acquisition team reviews deals.
A comp database is part of acquisition memory. Acquisition memory also includes source documents, model outputs, custom fields, flags, and decision context.
AI agents can create structured records as a byproduct of running the deal, reducing the manual burden of cataloging everything after the fact.