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Index/Marketing/Marketing Analytics with Fexingo
Marketing Analytics with Fexingo artwork

How Ad Fatigue Metrics Reveal Hidden Attribution Waste

Marketing Analytics with Fexingo · 2026-07-10 · 11 min

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Topics in this episode

marketing attributionad fatigueretargeting wastefrequency cappingcost per incremental conversion

Episode notes

Lucas and Luna dive into the overlooked problem of ad fatigue in marketing attribution. Using a real-world example from a mid-market e-commerce brand that ran a six-week retargeting campaign, they show how standard attribution models credited increasing frequency without flagging declining engagement. The episode walks through how to detect fatigue using frequency-to-conversion ratios and cost-per-incremental-conversion analysis - and why ignoring it leads to 20-40% budget waste. Lucas argues that attribution without fatigue data is just counting impressions, not measuring effectiveness. A fresh lens for anyone managing digital ad spend in July 2026. #AdFatigue #MarketingAttribution #Retargeting #DigitalAds #FrequencyCapping #CampaignOptimization #MarketingROI #AdWaste #ECommerceMarketing #DataDrivenMarketing #Viewability #MarketingAnalytics #AttributionModel #Business #Marketing #FexingoBusiness #BusinessPodcast #MarketingPodcast Keep every episode free: buymeacoffee.com/fexingo

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  • The Distillation of Data: Alembic’s Causal AI SolutionInsider Interviews: Media and Marketing Pros · on marketing attribution66 / 100
  • Why You Must Prove Your Value or Lose a Seat at the Table as a B2B Marketer with David RowlandsSpotlight on B2B Marketing · on marketing attribution54 / 100
  • Stop obsessing over this marketing metricMarTech Podcast ™ // Marketing + Technology = Business Growth · on marketing attribution40 / 100
  • How CMOs Use Geo-Experiments to Prove Ad ImpactThe CMO Podcast with Fexingo · on marketing attribution

More from Marketing Analytics with Fexingo

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  • How Incrementality Reveals True Marketing Impact90 / 100
  • How Marketing Attribution Fails on Subscription Models82 / 100
  • Why Marketing Attribution Misses the Seasonality Pattern91 / 100
  • Why Marketing Attribution Breaks on Subscription Models92 / 100
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