About Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance
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 (https://buymeacoffee.com/fexingo)
We break down why zero-party data is becoming the most reliable asset for modern marketers, using a specific case study of a direct-to-consumer apparel brand that increased conversion rates by eighteen percent through proactive preference centers. Lucas and Luna discuss the mechanics of incentivizing customers to share their preferences, the difference between inferred and stated intent, and how this strategy reduces reliance on third-party cookies. We explore the practical steps to build a trust-based data collection framework that respects user privacy while delivering hyper-personalized experiences.
#ZeroPartyData #MarketingAnalytics #CustomerPrivacy #PersonalizationStrategy #DirectToConsumer #DataCollection #ConsumerInsights #TrustBuilding #FexingoBusiness #BusinessPodcast #MarketingROI #BrandLoyalty #DigitalMarketing #CustomerExperience #DataFirst #EcommerceGrowth #LucasAndLuna #MarketingTrends2026
Keep every episode free: buymeacoffee.com/fexingo (https://buymeacoffee.com/fexingo)
7 Oct 2026
How Dynamic Pricing Algorithms Set Your Prices
In this episode of Marketing Analytics, Lucas and Luna dissect the real-world mechanics of dynamic pricing algorithms used by major retailers. They explore how companies like Amazon and Uber adjust prices in real-time based on demand, inventory, and competitor data. The hosts break down the ethical implications of price discrimination, the technical challenges of implementing fair pricing models, and how consumers can protect themselves from algorithmic exploitation. Featuring specific examples from airline ticketing and ride-sharing services, this episode reveals how much control you actually have over what you pay.
#DynamicPricing #AlgorithmicPricing #PriceDiscrimination #ConsumerRights #RetailStrategy #EcommerceTech #PricingModels #BigDataAnalytics #MarketEfficiency #ConsumerBehavior #TechEthics #BusinessStrategy #FexingoBusiness #BusinessPodcast #MarketingAnalytics #OnlineShopping #RevenueManagement #DataPrivacy
Keep every episode free: buymeacoffee.com/fexingo (https://buymeacoffee.com/fexingo)
6 Oct 2026
The Incremental Lift of Retail Media Networks
We break down why retail media networks are quietly reshaping the marketing landscape, focusing on Walmart’s recent $10 billion revenue milestone and the shift from broad brand awareness to precise incremental lift. Lucas and Luna examine how first-party purchase data is replacing third-party cookies, allowing brands to measure true return on ad spend rather than just click-through rates. We look at the specific mechanics of shelf-space advertising in digital environments and why traditional attribution models fail when applied to closed-loop retail ecosystems. This episode explores the tension between brand building and performance marketing, offering a concrete look at how modern marketers can navigate this new reality without burning budget on vanity metrics.
#FexingoBusiness #BusinessPodcast #MarketingAnalytics #RetailMedia #WalmartAds #IncrementalLift #FirstPartyData #AttributionModeling #AdSpend #ROI #DigitalMarketing #EcommerceStrategy #ConsumerInsights #BrandBuilding #PerformanceMarketing #DataDriven #MarketingTrends2026 #LucasAndLuna
Keep every episode free: buymeacoffee.com/fexingo (https://buymeacoffee.com/fexingo)
Host of Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.