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

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

Written by: Fexingo
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Lucas and Luna scrutinize the messy reality of marketing analytics—where attribution models break, vanity metrics mislead, and campaign data never tells a clean story. Each episode picks a single measurement problem: how last-touch attribution overvalues the final click, why multi-touch models introduce their own biases, or what happens when Facebook and Google report conflicting conversion numbers. Lucas brings the technical rigor—explaining lift studies, incrementality testing, and the statistical pitfalls of small sample sizes—while Luna keeps the conversation tethered to real campaign decisions: budget reallocation, creative testing, and the trade-off between precision and speed. Together they walk through actual brand case studies (from direct-to-consumer startups to enterprise SaaS), showing which metrics mattered, which ones were noise, and how the team eventually reconciled data with strategic judgment. This is not a podcast about marketing automation hacks or growth-hacking gimmicks; it is a podcast for the analyst or manager who stares at a dashboard every morning and needs to know: What is this number actually telling me? And when can I trust it enough to act? #MarketingAnalytics #AttributionModeling #CampaignMeasurement #MarketingROI #DataDrivenMarketing #MarketingMetrics #IncrementalityTesting #MarketingAttribution #MarketingData #Analytics #MarketingPodcast #BusinessPodcast #FexingoBusiness #Business #Marketing #Podcast #DataAnalytics #MarketingStrategy Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • Why Your Marketing Attribution Is Broken And How To Fix It
    Oct 18 2026
    Most marketers are still using last-click attribution, which assigns one hundred percent of the credit to the final touchpoint while ignoring the weeks of research that actually drove the decision. In this episode, Lucas and Luna dissect why this model fails in modern customer journeys where buyers visit ten sites before buying. They explore how multi-touch models like time-decay and position-based offer a more accurate view of performance, helping brands allocate budget to awareness channels rather than just bottom-funnel retargeting. #MarketingAnalytics #AttributionModel #CustomerJourney #DigitalMarketing #LastClickProblem #MultiTouchAttribution #MarketingROI #DataDriven #BusinessStrategy #FexingoBusiness #BusinessPodcast #LucasAndLuna #MarketingTech #ConversionOptimization #BrandAwareness #GrowthMarketing #AdSpend #ConsumerBehavior Keep every episode free: buymeacoffee.com/fexingo
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    7 mins
  • How Retail Media Networks Shift Marketing Attribution
    Oct 17 2026
    Retail media networks have quietly become the largest digital ad channel in America, yet most marketers still measure them using legacy last-click models that undervalue their true impact. In this episode, we break down how Walmart Connect and Amazon Advertising are changing the math on customer acquisition costs. We look at a specific case where shifting ten percent of brand budget to retail media improved return on ad spend by eighteen percent, not because the ads were better, but because the data was closer to the transaction. We also explore why zero-party data from loyalty programs is becoming the new currency for attribution, and what it means for brands that haven't built direct relationships with shoppers yet. #MarketingAnalytics #RetailMediaNetworks #WalmartConnect #AmazonAdvertising #CustomerAcquisitionCost #ReturnOnAdSpend #LastClickAttribution #ZeroPartyData #LoyaltyPrograms #ShopperMarketing #DigitalAdvertising #BrandStrategy #EcommerceGrowth #MarketingMixModeling #ConsumerInsights #FexingoBusiness #BusinessPodcast #MarketingTrends Keep every episode free: buymeacoffee.com/fexingo
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    12 mins
  • How Marketing Attribution Ignores The Offline World
    Oct 16 2026
    Most marketers treat attribution as a closed loop of clicks and views, but the biggest drivers of revenue often happen offline. We examine how companies like Home Depot and Starbucks bridge that gap using unique store identifiers and loyalty program data to measure true campaign impact. This episode explores why your last-click model is undercounting value and offers a concrete framework for attributing spend to in-store conversions. We look at specific case studies where offline tracking changed quarterly budgets by fifteen percent, showing listeners how to move beyond digital silos and measure the full customer journey. #MarketingAnalytics #OfflineAttribution #RetailMedia #LoyaltyData #HomeDepot #Starbucks #InStoreSales #CustomerJourney #DigitalToPhysical #ROI #MarketingMix #FirstPartyData #FexingoBusiness #BusinessPodcast #MarketingStrategy #DataDriven #ConsumerBehavior #RevenueGrowth Keep every episode free: buymeacoffee.com/fexingo
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    11 mins
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