Platform
The methods behind PriceDNA.
PriceDNA is built around a simple belief: real estate analysis should reflect the investor’s goal and the property’s actual local context.
Your goal changes the math.
Location is more than an address.
Good analysis should explain itself.
Trust layer
Not a black box. Not a spreadsheet dump.
These pages explain how PriceDNA thinks: how we handle data, how we use geography, how goal-convergent valuation differs from standard valuation lenses, and how our spatial system keeps location intelligence fast without flattening boundary-sensitive details.
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Platform reference
How PriceDNA analyzes real estate
Property inputs, local data, geographic assignment, data granularity, and the guardrails around what PriceDNA does and does not claim.
02 Valuation methodGoal-Convergent Valuation
A third lens beside comparative and capitalization valuation: what purchase price would make this property work for your goal?
03 Spatial resolutionHybrid Spatial Resolution Index
How PriceDNA resolves property-level location context quickly, even when real-world boundaries are complex.
04 ReferenceGlossary
Plain definitions for the terms PriceDNA uses across reports, markets, scoring, valuation, and analysis.
05 QuestionsFAQ
Direct answers to common questions about PriceDNA, the data, the analysis, and how to interpret the numbers.
Personalized analysis needs two things.
It needs the investor’s actual objective, and it needs local context that is specific enough to matter. The Platform pages explain how PriceDNA brings those together.
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