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Index/Marketing/Marketing Analytics with Fexingo
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How Apple's ATT Broke Facebook Attribution Models

Marketing Analytics with Fexingo · 2026-07-28 · 5 min

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Topics in this episode

Attribution modelsiOS 14.5apple attfacebook attributionapp tracking transparency

Episode notes

In this episode of Marketing Analytics with Fexingo, Lucas and Luna explore the seismic impact of Apple's App Tracking Transparency on Facebook ad attribution. Using a real-world DTC skincare brand as a case study - where attributed Facebook conversions dropped from 60% to under 20% post-ATT - they unpack how attribution models became unreliable when data sources changed. They discuss why many advertisers saw inflated ROAS from Facebook's modeled conversions, the critical need for incrementality testing and geo lift studies, and the broader lesson that attribution is only as good as its input data. The episode concludes with a look at emerging solutions like data clean rooms and media mix modeling, leaving listeners with a challenging question: are you measuring reality or platform narratives? #MarketingAnalytics #AdAttribution #AppleATT #FacebookAds #PrivacyChanges #iOS14 #DataPrivacy #IncrementalityTesting #GeoLiftStudy #DTCBrands #MarketingROI #ConversionTracking #ModeledConversions #CleanRooms #MediaMixModeling #Marketing #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

  • How to Finally Understand Where Your Shopify Sales a REALLY Coming From with Phoenix HaeCommerce Impact Podcast · on Attribution models90 / 100
  • Data: Digital Advertising Post-ATT with Kyle AntoianThe Conversion Show · on iOS 14.587 / 100
  • Andrew Covato - growth and measurementMadvertising by AdQuick · on Attribution models83 / 100
  • 7 Marketing Measurement Myths Costing Companies MillionsBrandformance · on Attribution models76 / 100
  • Stop Asking Marketing for ROI (Until You Define Success)Tech Qualified · on Attribution models58 / 100

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