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EPISODE · Jun 15, 2026 · 11 MIN

How Incrementality Testing Beats Any Attribution Model

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

Episode 54 of Marketing Analytics with Fexingo. Lucas and Luna dive into why incrementality testing—running controlled experiments to measure true causal lift—is the gold standard for marketing ROI. They walk through a real case: how a DTC skincare brand used geo-based incrementality tests to discover that 40% of their Facebook ad conversions would have happened anyway. The hosts contrast this with the limitations of even the best multi-touch or media mix models. Listeners learn the difference between correlation and causation in attribution, and why a simple randomized test is often more reliable than a complex algorithm. The episode includes a brief listener-support moment around the 75% mark. #MarketingAnalytics #IncrementalityTesting #AttributionModel #CausalLift #MarketingROI #GeoExperiments #DTCBrand #FacebookAds #DataDrivenMarketing #Experimentation #CorrelationVsCausation #MarketingMeasurement #FexingoBusiness #BusinessPodcast #MarketingStrategy #PerformanceMarketing #Analytics #PaidMedia Keep every episode free: buymeacoffee.com/fexingo

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How Incrementality Testing Beats Any Attribution Model

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This episode was published on June 15, 2026.

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