How Franchisees Use Data Analytics to Pick the Perfect Location

Lucas and Luna dive into the art and science of franchise site selection, using the case of a multi-unit Dunkin' franchisee who cut store failure rates by 30 percent by overlaying foot-traffic data, demographic shifts, and competitor density. They explore how tools like Placer.ai and Esri's Tapestry Segmentation help franchisees move beyond intuition to data-driven decisions, and why a seemingly perfect corner can be a trap. The episode also touches on the cost of bad locations—some franchisees lose $200,000 in the first year alone. Listeners learn a concrete framework: the three-mile radius analysis, and why you should never sign a lease without running a regression model on local household income trends. #Franchise #SiteSelection #DataAnalytics #LocationIntelligence #Dunkin #PlacerAI #EsriTapestry #FootTraffic #Demographics #BusinessStrategy #FranchiseInvesting #RetailLocation #MultiUnitFranchisee #CommercialRealEstate #FexingoBusiness #BusinessPodcast #RetailAnalytics #LocationScoring Keep every episode free: buymeacoffee.com/fexingo