#London #United Kingdom #Green Street #MyTraffic #Retail Database Pro

Green Street Enhances Retail Intelligence with MyTraffic Data

In a groundbreaking move, Green Street, a top-tier provider of commercial real estate intelligence, has recently announced its strategic integration of MyTraffic data into its Retail Database Pro platform. This partnership aims to provide detailed property-level foot traffic intelligence across more than 300 shopping centers in key European markets including the United Kingdom, France, Germany, Italy, and Spain.

Revolutionizing Retail Analytics

The inclusion of MyTraffic data enriches Green Street's existing analytics by leveraging anonymized mobile GPS data to offer daily counts of unique visitors to retail properties. This data is aggregated annually to create a comprehensive foot traffic figure. According to Edoardo Gili, a Senior Analyst at Green Street, “Footfall is one of the strongest real-time indicators of operating performance.”

Furthermore, he emphasizes that incorporating MyTraffic's insights into Retail Database Pro provides clients with an essential performance metric that underpins their valuation frameworks, enabling them to benchmark assets, monitor performance, and make informed decisions confidently.

Key Features of the Integration

The enhanced Retail Database Pro now offers users powerful consumer intelligence tools, allowing access to:

• - Trailing 12-Month Footfall Data: Regularly updated monthly, this feature helps clients stay in tune with evolving consumer trends.
• - Year-on-Year Visitation Changes: This aspect enables teams to assess the impact of tenant mix and leasing strategies directly on foot traffic.
• - Pre-Pandemic Recovery Benchmarks: Clients can compare current data against 2019 figures for a contextual performance analysis.

Additionally, properties will be ranked both by country and by Green Street Quality Grade. This will facilitate multifaceted peer benchmarking based on foot traffic intelligence, effectively placing crucial data right at decision makers' fingertips.

Privacy-First Approach

Pauline Paris, CMO at MyTraffic, explains that “Our anonymized GPS methodology gives an accurate, privacy-compliant picture of how consumers engage with physical retail.” By being integrated into Green Street's platform, MyTraffic’s data can be utilized at scale across significant European markets, transforming how retail locations analyze consumer behavior.

The Future of Physical Retail

As physical retail continues to undergo rapid transformations, understanding foot traffic dynamics becomes indispensable. This integration is not merely an enhancement but a pivotal step towards centralizing crucial intelligence for evaluating and benchmarking European retail assets profoundly.

The MyTraffic integration is now available to all clients using Retail Database Pro. This initiative marks the latest phase in Green Street’s commitment to continuously improving its platform with high-quality, property-level data. To learn more or to experience a demo, interested parties are encouraged to visit Green Street’s European website.

About Green Street

Green Street stands as the premier global provider specializing in actionable research, data, analytics, and advisory services related to commercial real assets. For over four decades, the company has offered unparalleled insights and data to investors, banks, and lenders, helping shape refined investment decisions and strategies. Its comprehensive platform caters to over 4,000 firms across North America, Europe, Australia, and Asia.

About MyTraffic

Operating as a European location intelligence platform, MyTraffic is dedicated to measuring foot traffic across 18 countries. The firm harnesses a blend of GPS, spending, and demographic data to furnish retailers, restaurants, and real estate professionals with insights into footfall, visitor profiles, and competitive benchmarks. With a clientele of over 600 companies, MyTraffic’s AI-powered analytics platform, Gini, makes this critical data easily interpretable and accessible.