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Market Comp Analysis
Rent comps, sale comps, submarket analytics — built from institutional data sets.
Analysts manually pull comps from CoStar, cross-reference with broker opinions, build a comp set in Excel. Takes hours per deal, and comp sets are inconsistent across analysts.
Upload your target property into the Data Room. Apers builds a comp set with rent comps, sale comps, and submarket analytics — normalized, adjusted for size, age, and condition, and ready for underwriting. Run a sub-chat to challenge any adjustment. Export the finished comp set to Google Sheets.
Four Steps to a Finished Comp Set
Upload the target property
Drag the OM, appraisal, or property summary into the Data Room. Apers extracts location, size, vintage, asset class, and condition to define the search parameters.
Comp set assembled
Rent comps and sale comps pulled from institutional data sets, filtered by geography, asset class, size, and vintage. Each comp adjusted for quality differences.
Adjustments normalized
Size, age, condition, and location adjustments applied consistently across every comp. Methodology documented so you can challenge any adjustment in a sub-chat.
Export and integrate
Finished comp set exports to Google Sheets or feeds directly into your underwriting model. Save to your Library for future deals in the same submarket.
Market Rent Positioning
Loss-to-lease, concession analysis, effective rent benchmarking — your asset positioned against the competitive set.
Transaction Evidence
Recent sales filtered by asset class, vintage, size, and geography. Cap rates decomposed by quality and location.
Supply & Demand
Pipeline deliveries, absorption trends, vacancy by submarket — the context your underwriting assumptions need.
Parallel Research Threads
Run rent comp analysis, sale comp analysis, and submarket research in separate sub-chats — each with full access to the Data Room. Export findings between threads to build a complete picture.
Submarket Intelligence Library
Save comp sets and submarket reports to your Library. When the next deal in the same market comes through, your team starts with institutional context instead of a blank screen.
Models
Frequently Asked Questions
How does Apers build a comp set?
Upload your target property into the Data Room. Apers assembles rent comps, sale comps, and submarket analytics — normalized and adjusted for size, age, and condition. You can challenge any adjustment in a sub-chat and export the finished comp set to Google Sheets.
What data sources does Apers use for market comps?
Apers works with whatever data you upload — broker packages, appraisals, market reports, and comparable property data. It normalizes the data into a consistent format and applies adjustments so comps are comparable on a like-for-like basis.
Can Apers adjust comps for property differences?
Yes. Apers normalizes comps by adjusting for size, age, condition, location, and other factors you specify. Each adjustment is shown transparently so you can verify or override the rationale before using the comp set in your underwriting.
How consistent are comp sets across different analysts?
Because Apers applies standardized adjustment logic and documents every decision, comp sets are consistent regardless of who runs the analysis. This eliminates the variability that comes from different analysts applying different judgment calls.