Three markets, fully modeled.
These are unedited client deliverables. Every metro we take on is built to this standard — ZIP-level data, an explicit yield-versus-risk frame, and an analyst layer that answers questions in plain language.
Dallas–Fort Worth, TX
A large, fast-supplying Sunbelt metro. The model tracks ZIP-level price levels, rent-to-income, absorption and the yield penalty attached to new-build competition.
- Coverage
- 200+ ZIPs
- Layers
- Price · Rent · Yield · Risk
- AI Analyst
- Included
Oklahoma City, OK
A high-yield, low-basis interior market. The model separates durable cash-flow submarkets from thin-liquidity ones and prices the exit risk that raw cap rates hide.
- Coverage
- Metro ZIPs
- Layers
- Price · Rent · Yield · Risk
- Mapping
- Leaflet geodata
Los Angeles, CA
A supply-constrained coastal market where yield is scarce and basis is everything. The model reads ZIP-level values, rents, listings, schools, crime and the public and private investment pipeline together.
- Coverage
- LA County ZIPs
- Layers
- Price · Rent · Yield · Risk
- AI Analyst
- Included
Chilliwack, British Columbia — a cross-border build showing the same method applied to a smaller Canadian market.
Open Chilliwack →Northern Manhattan hair salons — competitive field study
The same modeling discipline applied to a local service market: block-level competitive mapping of Northern Manhattan salons — pricing, positioning, review depth, saturation and the white-space a new operator could take.
Open the study →