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Commercial real estate has long been a data-driven industry, but until recently, researchers struggled to access transparent and detailed information on leasing and sale activity. That’s changing with CompStak data.
Professors and PhD candidates are increasingly turning to CompStak to strengthen real estate academic studies, papers, and thought leadership. By providing a vetted and granular database of lease comps, sale comps, and property data, CompStak enables the analysis of CRE markets with a level of depth and accuracy that was previously unavailable.
Why Researchers Choose CompStak
When writing or publishing research, credibility starts with the data. CompStak offers:
- Verified commercial real estate lease and sales comps from a network of over 40,000 brokers, appraisers, and researchers.
- Granular detail on rents, concessions, tenant improvements, and escalations, which is unavailable on the public record.
- Robust coverage across office, industrial, and retail properties.
- Historical data that allows researchers to examine long-term trends across the CRE cycles.
This level of detail enables researchers to uncover actionable insights across the broader real estate community.
Types of Research Powered by CompStak Data
Researchers have used CompStak data to study a wide variety of topics, such as:
- Market cycles and pricing trends: Identifying shifts in office, industrial, and retail performance over time.
- Policy impact analysis: Measuring how zoning, tax incentives, or government programs affect leasing and investment activity.
- Capital markets research: Studying how sale comps reflect investor sentiment, risk appetite, or capital flows.
By leveraging CompStak’s CRE data, researchers can broaden their scope beyond surface-level reporting and generate rigorous, data-driven insights. See more research papers using CompStak data here.
Real-World Impact
CompStak data has been cited in academic research papers, dissertations, and policy studies. It has helped professors and independent scholars:
- Build quantitative models for forecasting rent growth or property valuations.
- Validate economic theories using real lease and sale comps.
- Provide market intelligence that informs industry leaders and policymakers.
The result is a growing body of research that pushes the commercial real estate field forward, grounded in accurate, transparent data rather than assumptions.
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