How Ad Blockers Expose Attribution Blind Spots

In this episode of Marketing Analytics with Fexingo, Lucas and Luna dig into a hidden flaw in most attribution models: ad blockers. With an estimated 27% of US internet users running ad blockers in 2026, millions of impressions and clicks go unmeasured, leading to misattributed conversions and skewed channel performance. Lucas explains how ad blockers create a systematic blind spot—especially for display and social campaigns—while search and direct traffic get over-credited. They discuss a real-world case where a mid-market retailer saw display‘s attributed ROI jump 40% after implementing server-side tracking that bypassed ad blockers. Luna pushes back on the assumption that server-side tracking solves everything, noting privacy implications and the tension with Apple’s Intelligent Tracking Prevention. They close by arguing that marketers need to model the gap between observed and actual touchpoints, not just optimize what their tools can see. #AdBlockers #AttributionBlindSpots #ServerSideTracking #MarketingAnalytics #MeasuringCampaignPerformance #DisplayAdvertising #Privacy #AdFraud #DataQuality #MarketingROI #AttributionModeling #AppleITP #ConversionTracking #DigitalMarketing #Business #Marketing #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo