How secondary cities can compete more effectively for retail

Learn about improvements that are immediately visible to customers and tenants.

Learn how one owner avoided a costly mistake with due diligence market analysis.

See how landlords can use data, design, and tenant mix to reposition retail centers for long-term performance and competitive advantage.

Read about how to use predictive analytics to streamline decisions, reduce risk and maximize performance.

Explore how thoughtful infrastructure planning and zoning updates can give your community a competitive edge in attracting and retaining quality retail.

This article explores how landlords can maximize anchor value through fit, flexibility, and performance data.

This post outlines five data-backed strategies for evaluating new markets, along with common execution pitfalls to avoid.

Explore how today’s leading retailers are transforming site selection through advanced location analytics.

Retail real estate has never had more data available—or more risk of misusing it.From foot traffic analytics and mobile location data to demographic overlays and AI-powered forecasting tools, the industry is saturated with insights. Yet access to more information has not necessarily translated into better decisions. In fact, in many cases, it has introduced new blind spots.The challenge is no longer gathering data. It’s identifying which signals truly matter—and applying them within the right strategic context.

Learn the 7 questions retailers ask in 2026

An expansion success story for real estate and growth teams