Why Your Attribution Model Needs Geo Lift Testing episode artwork

EPISODE · May 28, 2026 · 10 MIN

Why Your Attribution Model Needs Geo Lift Testing

from Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance · host Fexingo

Lucas and Luna dig into geo lift testing — the overlooked sibling of incrementality measurement. Using a real 2024 case from a national quick-service chain, they explain why splitting test and control by geography reveals true ad effectiveness that user-level attribution misses. You'll learn how geo experiments solve the 'leaky bucket' problem of digital attribution, why Facebook and Google can't run them for you, and what it takes to design a valid geo test. Plus: the hosts discuss why the chain's national TV campaign looked like a failure in last-click but drove a measurable 4.3 percent store-visit lift in test DMAs. No jargon, no fluff — just the concrete mechanics of geo lift and why it's becoming a must-have tool for marketing analytics teams. #GeoLift #Incrementality #MarketingAnalytics #Attribution #MarketingMixModeling #AdEffectiveness #QuickServiceRestaurant #TVAdvertising #DigitalAds #FacebookAds #GoogleAds #StoreVisits #DMA #ExperimentDesign #Counterfactual #BudgetOptimization #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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Why Your Attribution Model Needs Geo Lift Testing

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This episode was published on May 28, 2026.

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