Following the success of FipeZAP price indexes, DataZAP was born in 2015
aiming to provide innovative solutions to support decision making in real estate markets (building, investing, financing or trading).


DataZAP is part of the ZAP Group, created in 2018, from the merge of ZAP and VivaReal, with the mission to transform the way of doing business in the Brazilian real estate market through technology. In line with the ZAP Group objectives, DataZAP combines the analysis of the richest database in the industry with applied knowledge in economics and machine learning in a wide range of supply, demand and pricing services.
Pioneer in the development of Automated Valuation Models (AVMs), DataZap has statistical models for selling and rental prices covering over 100 cities. Resulting from advanced econometric techniques, DataZAP’s AVMs allow price estimates to vary according to the influence of property characteristics and location factors. Due to its accuracy and reliability, these tools are largely used by main players of real estate markets in Brazil, including some of the largest financial institutions in the country.


About Datazap

DataZAP uses two databases organically produced by the activities of the two largest property portals in Brazil, ZAP and Viva Real, which generate monthly 4million contacts from interested users for 7,5 million property adds, and receive 40 million visits.  From these portals, we gather detailed information on supply (adds) and demand (browsing, searches and leads) for properties all over Brazil. 


DataZAP has also access to the Geoimovel Platform, a ZAP Group company,which collects data on the features, location, and sales performance of new developments. Geoimovel currently has information of more than 56 thousand developments across 600 cities. To complement these databases we also have a dedicated team for designingand implementing stated preference research with a view to capturing idiosyncratic phenomena and market trends. Finally, we also use a variety of third-party databases (private and public).

Leadership and Management
Econometrics & Data Science

Development of solutions and products based on statistical models, such as the AVM (Automated Valuation Model).

Behavioral Economics

Use of diverse data sources to produce analysis and content about cities and real estate markets.

Real Estate Consulting

Creation of Market studies and Consulting projects for real estate Market players.

Survey Research

Survey of primary data for the real estate market.

Data & Technology

Optimization and automatization of DataZAP's and clients processes and products.

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