There is no separate field for every physical characteristic
PriceDNA does not have individual inputs that automatically add or subtract value for property age, year built, property class, physical condition, building size, square footage, lot size, finishes, bedrooms, bathrooms, renovations, or similar characteristics.
That is intentional. PriceDNA provides personalized real estate analysis through goal-convergent valuation. It analyzes the property’s modeled financial profile and solves for the purchase price the selected goal can support. It does not independently appraise physical features or assign them a market premium or discount.
Where those characteristics enter the analysis
Physical characteristics still matter when they change the economics of the deal. Reflect them through the assumptions they affect:
- achievable rent;
- repairs and make-ready;
- reserves and maintenance;
- insurance and property taxes;
- financing; and
- management or operating complexity.
For example, an older property with deferred maintenance may warrant higher repair, make-ready, reserve, insurance, or maintenance assumptions. A renovated property may support a different achievable rent when that rent is realistic and supportable.
What PriceDNA uses directly
The property address connects the analysis to available local data. Number of units is a direct input because it changes total rent and unit-level calculations. The remaining income, expense, financing, vacancy, reserve, and goal assumptions form the financial profile PriceDNA analyzes.
Property class and size
If you use labels such as Class A, B, or C, translate the practical meaning of that label into supportable deal assumptions rather than entering the class itself. The same applies to square footage, building size, and lot size: PriceDNA does not independently price those facts, but they may influence rent, expenses, maintenance, insurance, financing, or other assumptions.