In this episode, Lyden and Hannibal discuss the critical role of site selection in retail growth, particularly through the lens of Baldwin's experience with SiteZeus. They explore the journey from traditional retail to leveraging machine learning for predictive modeling in site selection, emphasizing the importance of understanding customer demographics and site characteristics. The discussion also covers strategies for emerging brands, the significance of proactive real estate processes, and the success stories of brands like Raising Canes and Culver's in navigating the post-COVID retail landscape.Chapters:(00:00) Introduction(06:18) The Journey to SiteZeus: From Yogurt to Software(12:14) Understanding Site Selection for Emerging Brands(18:35) Leveraging Machine Learning for Enterprise Brands(24:32) The Site Selection Process: Step by Step(30:23) Trade Areas and Machine Learning Insights(31:18) Navigating Data Science in Real Estate(35:20) Bridging Generational Gaps in Data Interpretation(38:05) Proactive Real Estate Planning with Machine Learning(41:34) Market Entry Strategies and Risk Assessment(46:24) Evaluating Site Viability Beyond Revenue(49:46) Indicators for Expanding Retail Locations(52:11) Success Stories: Brands Thriving Post-COVID
Follow Hannibal Baldwin on: LinkedInLearn more about SiteZeus: https://sitezeus.comListen to Consumer Code on: Spotify | Apple | YouTube
Follow Lyden Foust on: LinkedIn | Instagram
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Spatial.ai’s PersonaLive is an advanced consumer segmentation platform for developing data-driven marketing strategies. PersonaLive categorizes U.S. households into 17 groups and 80 segments using consumer behavior data from transactions, mobile visits, and social media activity, providing marketers with deep insights for effective audience targeting. From mid-sized retailers and agencies to Fortune 500 companies, hundreds of businesses use PersonaLive to drive strategic decisions and enhance marketing performance.
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