How Incrementality Testing Reveals True Ad Performance

In this episode, Lucas and Luna dive into the difference between incrementality testing and correlation-based attribution. Lucas explains how the rise of privacy changes — like Apple's App Tracking Transparency and Google's deprecation of third-party cookies — has made traditional last-click and multi-touch models unreliable. He shares a concrete example from a DTC brand that ran a geo-based incrementality test and discovered that their Facebook ads were actually not driving incremental sales. Luna pushes back on the cost and complexity of these tests, and Lucas walks through how a simple holdout group design can work for a $5 million ad budget. They discuss why more sophisticated advertisers are moving toward controlled experiments, and how even small brands can use matched-market tests or ghost-ads methodology. The episode closes with a forward-looking question about whether agency business models can survive when clients demand proof of incrementality. #IncrementalityTesting #MarketingAttribution #AdEffectiveness #PrivacyChanges #GeoBasedTesting #HoldoutGroups #GhostAds #ControlledExperiments #DTCAdvertising #FacebookAds #AppTrackingTransparency #CookieDeprecation #MarketingAnalytics #Marketing #Business #FexingoBusiness #BusinessPodcast #DataDrivenMarketing Keep every episode free: buymeacoffee.com/fexingo