By Aaron Giron, Investment Analyst at CommercialGRP
In industrial real estate, the best opportunities are not always the most visible ones.
Traditional market data — vacancy rates, rental comps, and sales history — provides an important foundation for evaluating properties. But in many cases, those datasets only tell part of the story. By the time a trend becomes obvious in traditional reports, the most attractive opportunities may already be gone.
That’s why at CommercialGRP we increasingly incorporate alternative data sources into our research process. These insights help us identify emerging industrial opportunities earlier, evaluate risk more precisely, and uncover properties that may not initially appear attractive on the surface.
My role on the investment team focuses on connecting those data points into clear, actionable insights that support smarter acquisition decisions.
Here’s how that process works.
Standard brokerage and research reports remain valuable tools. They provide benchmarks for vacancy, rent growth, and overall market performance.
However, alternative data helps us answer deeper questions, such as:
These early indicators allow us to evaluate potential acquisitions within our buy box — industrial and retail properties between 15,000 and 120,000 square feet — with greater context and confidence.
Our research process often integrates datasets that are not traditionally associated with real estate analysis. These inputs can reveal demand patterns long before they are reflected in leasing data.
Some examples include:
Freight and logistics activity
Shipping and freight flow data can highlight expanding distribution corridors and growing transportation hubs.
Business registration and employment trends
Local business formation and hiring activity often signal future demand for small and mid-sized industrial space.
Infrastructure development and transportation investment
Public infrastructure projects — road expansions, logistics hubs, or port improvements — frequently precede industrial growth.
Consumer delivery patterns
Changes in e-commerce fulfillment routes can indicate rising demand for last-mile industrial facilities.
Individually, these signals may appear subtle. When analyzed together, they often reveal emerging opportunities that traditional metrics have not yet captured.
Collecting data is only the first step. The real value comes from translating those signals into clear conclusions.
Our analysis focuses on answering a few key questions:
By maintaining a disciplined, detail-oriented evaluation process, we ensure that data supports — rather than replaces — thoughtful investment judgment.
One of the most important aspects of my role is helping transform complex datasets into information that investors and partners can easily understand.
Our goal is not to overwhelm stakeholders with numbers. Instead, we provide clear explanations of:
Transparency in analysis helps investors remain confident in the decisions being made and reinforces the trust that underpins every partnership.
While data improves investment precision, the ultimate goal extends beyond spreadsheets.
Many of the industrial and retail properties we evaluate are underutilized assets located in communities with strong potential for revitalization. When repositioned effectively, these properties can:
By combining rigorous analysis with disciplined acquisition strategies, we aim to create investments that generate strong financial outcomes while also contributing to healthier, more resilient communities.
If you’re interested in learning more about how CommercialGRP evaluates opportunities, these articles offer additional perspective:
If you are a broker with industrial or retail opportunities that may benefit from a data-driven evaluation approach, or an investor looking to partner with a disciplined and transparent team, we would welcome the opportunity to connect.
At CommercialGRP, thoughtful analysis is just the starting point. The real goal is identifying opportunities that create lasting value — for investors, businesses, and the communities where these properties operate.