『Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance』のカバーアート

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

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

著者： 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. 経済学
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  • Why Ad Frequency Caps Matter More Than You Think

    Why Ad Frequency Caps Matter More Than You Think
    2026/06/06
    Episode 35 of Marketing Analytics with Fexingo dives into the underappreciated power of ad frequency caps. Lucas and Luna explore how setting the right frequency limit can dramatically improve campaign ROI, reduce ad fatigue, and prevent brand harm. They walk through real data from a 2025 e-commerce case where capping frequency at three impressions per user per week lifted conversion rates by 18 percent while cutting wasted spend by 22 percent. They also discuss how frequency caps interact with attribution models, why overexposure can inflate last-click credit, and practical tips for setting frequency limits across channels like social, display, and video. If you've ever wondered why showing an ad too often can backfire, this episode has the numbers and strategy you need. #AdFrequencyCaps #MarketingAnalytics #CampaignROI #AdFatigue #FrequencyManagement #AttributionModels #DigitalAdvertising #MediaPlanning #ConversionOptimization #WastedAdSpend #EcommerceMarketing #SocialMediaAds #DisplayAdvertising #VideoAdvertising #BrandSafety #DataDrivenMarketing #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    7 分
  • Why Multi-Touch Attribution Models Can Mislead Your P&L

    Why Multi-Touch Attribution Models Can Mislead Your P&L
    2026/06/06
    Episode 34 of Marketing Analytics with Fexingo dives into a common but dangerous pitfall: multi-touch attribution models that look sophisticated but actually misallocate credit and inflate ROI. Lucas and Luna unpack a real-world example from a DTC brand that saw a 40% discrepancy between its attribution model and a simple holdout test. They explain why last-click models often outperform MTA in volatile channels, how to sanity-check your model with incrementality data, and why attributing fractional credit to every touch can make your P&L look better than it really is. If you're a marketer, analyst, or founder relying on attribution to make budget decisions, this episode gives you the questions to ask before you trust the numbers. #MultiTouchAttribution #MarketingAnalytics #P&L #AttributionModel #LastClick #IncrementalityTesting #HoldoutTest #DTC #MarketingROI #DataDriven #FractionalCredit #CampaignPerformance #Business #Marketing #FexingoBusiness #BusinessPodcast #MarketingPodcast #Analytics Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • How Multi-Touch Attribution Impacts P&L

    How Multi-Touch Attribution Impacts P&L
    2026/06/05
    In this episode, Lucas and Luna dive into how multi-touch attribution directly affects a company's profit and loss statement. They explore a real case from a mid-size e-commerce brand that shifted from last-click to a custom weighted attribution model, resulting in a 15% increase in return on ad spend over six months. The hosts break down why attribution is more than just a reporting tool—it's a financial lever. Lucas explains the concept of diminishing returns on channel spend and how proper attribution reveals which channels are truly driving incremental profit. Luna challenges the notion that all attribution models are equally valid, pointing out that many overlook offline influence and customer journey complexity. They discuss the importance of aligning attribution with unit economics and how even a simple model can beat no model at all. The episode hits on the practical trade-offs between accuracy and simplicity, and why marketers should think like CFOs. Listeners walk away with a concrete understanding of how attribution decisions ripple through the P&L, and a framework for evaluating their own approach. #MarketingAnalytics #MultiTouchAttribution #MarketingROI #ProfitAndLoss #AttributionModeling #LastClick #IncrementalProfit #UnitEconomics #EcommerceMarketing #AdSpendOptimization #DataDrivenMarketing #MarketingFinance #ChannelAttribution #MarketingMeasurement #BusinessPodcast #FexingoBusiness #AttributionWins #MarketingTechnology Keep every episode free: buymeacoffee.com/fexingo
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    7 分
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