The commercial properties database provides extensive coverage of properties being renovated, remodeled, or developed in major jurisdictions across the United States. Each record includes the following details: Property: address, construction_type, project count, type and stage/status, total cost of projects. Type of Work: new, remodels, specific work areas such as bathrooms, decks, demolition, doors, electrical work, elevators, exterior work, flooring, and more.
The database is refreshed weekly and typically contains 60K - 80K most recently updated property records from the past 6 weeks at any point during the month. Property data provides an excellent way to monitor properties undergoing value-adding investments or upgrades , helping financial institutions, real-estate investors, property managers, commercial real-estate renters, lenders and insurers and others to identify opportunites for business growth or offer relevant services. Additionally, construction management businesses, architectural services providers, building products and material suppliers can identify specific marketing segments based on the type of work being performed at a property.
Property data append services are available upon request, to include owners, lenders, liens, property history , and other specific information.
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sattanalytics.com
Freshness
Single-source
API Status
No API
Compliance (vendor-reported)
Quality Breakdown
Access in-planning, active & approved construction projects by address.
Access in-planning, active & approved construction projects by address.
Access commercial properties under development, remodeling or renovations nationwide.
Track new development project locations by address.
SATT ANALYTICS is an alternative data vendor. SATT ANALYTICS specializes in ai & ml, energy, financial, machine learning, marketing data. This vendor has a Vedex Intelligence Score of 38 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.
SATT ANALYTICS operates in the following alternative data categories.