Cartography & descriptive indicators
Interactive heatmap at 4 levels of granularity. Full statistical distribution, typology breakdown, amenities analysis, monthly price trends.
The Brazilian real estate market relies on averages. We provide the models that truly explain prices.
The classical approach
- -Average price per neighborhood
- -Static analysis
- -No isolation of each characteristic's true impact
- -Blind to neighborhood effects
- -Developer intuition
The Lycaon Data approach
- +Analysis at 4 levels of geographic granularity: city, sub-prefectures, districts, neighborhoods.
- +Full statistical distribution D1 to D9, monthly evolution, typology, amenities
- +Isolated impact of each characteristic (surface, suite, garage, pool, and more) compared to the city average
- +Price spillover coefficient to weigh alignment vs differentiation
- +Socioeconomic profile in 6 dimensions + density, demographic growth
- +Side-by-side comparison of two zones
Knowing that the median price in Pinheiros is R$ 17,201/m² is a starting point. Knowing that in this area a 10% increase in surface generates +8.4% on price, 1.33× the city average, and that the neighborhood effect is weak (spillover coefficient 0.07), lets you make concrete decisions: prioritize surface, differentiate your product, and don't align with the neighborhood.
Lycaon Data provides these decisions, not just a read of the market.
Price spilloverPinheiros, sub-prefecture
0,00
00,25
Weak neighborhood effect
Value rests on the property's own characteristics, not on the neighborhood average.
Confidence index86/100
Four layers of analysis, one model.
Project optimization
Three core econometric models: key value drivers (% impact per characteristic), price spillover (spatial dependency coefficient) and urban amenities effect (% impact per proximity, at city level).
Each analysis comes with a confidence index and sample size.
Socioeconomic profile
Quality of life scores across 6 dimensions (health, safety, wealth, education, employment diversity, housing) + population, density, demographic growth.
Zone comparison
Side-by-side analysis of two zones at any geographic level. Synchronized visualization of prices, surfaces, typology, amenities, optimization and socioeconomic profile.
Export any analysis as a customized PDF, ready to present directly in your investment committees or acquisition dossiers.
Workspace
Structure your analyses around your projects.
Create a project from your real estate product's location, link the relevant market zones and centralize your team's decisions in one single workspace.
Tour Pinheiros
SharedResidential · Pinheiros, São Paulo · 4,800 m²
MUJSMC
3 members, 1 owner, 1 editor, 1 viewer
Pinheiros
R$ 17.200/m²
Vila Madalena
R$ 14.800/m²
Program25% complete
Residential4 800 m²+ Typology mix+ Timeline
How real estate developers use Lycaon Data.
Before land acquisition
Quick validation of a zone via heatmap + D1 to D9 statistical distribution + amenities analysis (proximity to metros, favelas).
Output: median price, interquartile range, socioeconomic context of the zone.
Defining the product mix
Optimization module → Key factors. Identify the price impact of each characteristic (surface, suite, garage, pool) for the target neighborhood.
Output: % impact per characteristic + confidence index + sample size.
Positioning strategy
Optimization module → Price spillover. Measure spatial dependency to decide: align with the neighborhood (strong spillover) or differentiate (weak spillover).
Output: coefficient + interpretation + confidence index.