Analysis and perspectives on commercial real estate data, deal analytics, and brokerage operations.
A mid-cycle look at the Dallas-Fort Worth commercial real estate market: office vacancy by submarket, industrial absorption, and retail transaction volume in the second half of 2025.
Gross absorption versus net absorption. How submarket boundaries affect the numbers. Why the same absorption figure can mean different things in a tightening versus oversupplied market.
Time in stage. Stalled deal age. Tour-to-LOI conversion rate. These three metrics tell a Managing Broker more about brokerage performance than any monthly transaction count.
Gross lease vs. NNN vs. modified gross. Concession packages. Free rent periods. Transaction data from 2024 through early 2025 reveals how lease structures have shifted in major Sun Belt markets.
What a comp-matching engine actually does: how it filters by submarket, building class, SF range, and lease structure to return a ranked comparable set — and where manual processes break down.
Not all Dallas submarkets moved at the same pace in early 2025. A look at transaction velocity data across Uptown, Preston Center, Las Colinas, and the Medical District.
CBRE and JLL deal teams work with proprietary analytics infrastructure. Regional brokerages close the same transactions — typically with spreadsheets. What the gap actually looks like.
Three platforms dominate commercial real estate transaction data. Each has different coverage, methodology, and cost structure. A practical comparison for regional brokerage decision-makers.
The LOI-to-executed-lease stage has the highest drop-off rate in most brokerage pipelines. The causes are predictable — and most of them are data problems.
Most regional brokerages have access to CoStar. Fewer have a reliable process for turning that data into accurate, repeatable comp sets. Here is why that gap costs deals.
