Placer.ai, a provider of location analytics and foot traffic data, released Void Analysis, an interactive tool that it says empowers shopping center owners or leasing representatives to find the ideal tenants for any retail space. Prospective tenants are ranked and ordered based on a variety of factors, and a list of tenants is then automatically produced, quickly identifying the ideal candidates and candidate types for any vacant retail space.
“The retail real estate market is experiencing an unprecedented moment of change and the role of data in guiding decision-making is only increasing. Placer’s Void Analysis tool enables CRE professionals to rapidly identify the ideal fit for any retail space based on a variety of critical factors,” said Placer.ai Co-Founder and CEO Noam Ben-Zvi. “With this information, ideal candidates can be quickly identified and the pitch strengthened with objective, reliable location analytics. The result is a unique opportunity to help CRE professionals make better decisions, and faster than ever before.”
Void Analysis consists of two main elements: the analysis of top potential tenants based on Relative Fit Score, based on parameters including demographics, cannibalization rate, average monthly foot traffic and co-tenancies; and more information about potential tenants through key metrics such as household income, gender, age, frequent co-tenants, and other parameters.
Void Analysis is currently available to all Placer.ai subscribers.
