In this engaging discussion, Hannibal Baldwin, CEO of SiteZeus, shares his journey from the yogurt industry to pioneering machine learning in retail site selection. He emphasizes the pivotal role of data in informing site decisions for brands like Raising Canes and Culver's. The conversation dives into strategies for emerging brands, the fusion of creativity with data, and the importance of proactive real estate planning. Baldwin also highlights the balance between analytic insights and real-world experience necessary for successful market expansion.
01:00:24
forum Ask episode
web_stories AI Snips
view_agenda Chapters
auto_awesome Transcript
info_circle Episode notes
question_answer ANECDOTE
From Yogurt to Software
Hannibal Baldwin's journey to SiteZeus began with a failing yogurt franchise location.
This led him to explore data and build his first site selection model.
insights INSIGHT
Naivete-Driven Innovation
Baldwin's naivety about existing market solutions fueled SiteZeus's innovative approach.
This led to a platform that automates model building, training, and deployment.
volunteer_activism ADVICE
Site Selection for Emerging Brands
Emerging brands should prioritize understanding and locating their core customer.
Consider site variables like visibility, access, and traffic flow.
Get the Snipd Podcast app to discover more snips from this episode
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
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.
Consumer Code