Brixmor Case Study: Using Consumer Intelligence to Strengthen Leasing Decisions
How can a deeper understanding of consumer behavior help real estate teams attract the right tenants and close more successful leasing deals?
This case study explores how Brixmor Property Group leveraged RetailStat's Real Estate Intelligence platform, enhanced with Spatial.AI's PersonaLive™ segmentation, to better understand the demographics, purchasing behaviors, and lifestyle characteristics of a prospective trade area. These insights helped demonstrate that the location aligned with the target customer profile of a high-end specialty grocer.
By combining psychographic segmentation with demographic and visitation data, the analysis provided a more complete view of the local market than traditional demographic metrics alone. The resulting insights gave stakeholders greater confidence in the site's long-term potential and supported a successful leasing outcome.
While location remains a critical factor in retail real estate, the real advantage comes from understanding who lives in a market, how they behave, and which brands they actively engage with before making investment decisions.
But here's the catch — Traditional demographic data tells only part of the story. As consumer preferences continue to evolve, leasing and development decisions increasingly depend on behavioral insights that reveal whether a market truly matches a retailer's ideal customer.
How can richer consumer intelligence improve tenant selection, reduce leasing risk, and create stronger long-term outcomes for retail properties?