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Consumer Code
Leveraging Predictive Modeling For Retail Growth (ft. Hannibal Baldwin)
Mar 4, 2025
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
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Quick takeaways
- Effective site selection hinges on understanding customer demographics and site characteristics to optimize retail growth strategies.
- Integrating machine learning into site selection processes allows for more accurate predictive modeling and informed decision-making for new locations.
Deep dives
The Rise of Behavioral Data and AI in Retail
The discussion centers on how the integration of behavioral data and artificial intelligence has transformed the retail landscape, enabling businesses to swiftly convert consumer insights into actionable strategies. This shift marks a significant moment in history where retailers have access to advanced tools for analyzing market dynamics. By leveraging technologies such as demographics and cartography, retailers can optimize site selection and market expansion efforts more effectively than ever before. This evolution aims to empower businesses to make data-driven decisions that enhance customer engagement and profitability.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode