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

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

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

By: Fexingo
Listen for free

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 Missing the Holiday Season Effect

    Why Your Marketing Attribution Is Missing the Holiday Season Effect
    Jun 29 2026
    Most attribution models treat every day of the year the same — but consumer behavior shifts dramatically during the holiday season. In this episode, Lucas and Luna break down how standard multi-touch attribution models systematically misattribute December conversions, using real data from a mid-market ecommerce brand that saw its CPA drop 40 percent in December only to rise 25 percent in January. They explore why last-click models over-index on holiday ads while underweighting the November brand campaigns that actually drove the purchase. The hosts also discuss how media mix models with seasonal variables can correct for this distortion, and why marketing teams should run separate attribution weights for peak and off-peak periods. If you've ever wondered why your January campaign performance looks terrible even though the strategy didn't change, this episode will explain the seasonal attribution blind spot and how to fix it. #MarketingAnalytics #AttributionModeling #SeasonalMarketing #HolidayAdvertising #MultiTouchAttribution #LastClickAttribution #MediaMixModeling #CampaignMeasurement #CPADistortion #ConsumerBehavior #EcommerceMarketing #DecemberConversions #MarketingROI #DataDrivenMarketing #RetailMedia #PerformanceMarketing #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    10 mins
  • How Clean Rooms Save Marketing Attribution

    How Clean Rooms Save Marketing Attribution
    Jun 28 2026
    Episode 80 of Marketing Analytics unpacks data clean rooms: the privacy-safe sandboxes where brands match customer data with platforms like Google and Meta without exposing raw PII. Lucas and Luna walk through a real-world case where a major retailer used a clean room to measure cross-channel incrementality — and discovered 22 percent of its attributed conversions were driven by ad exposure alone, not real sales lift. They explain how clean rooms bypass cookie deprecation, reconcile CRM data with platform logs, and let marketers run attribution without leaking customer lists. No hype, no vendor shilling — just a clear, specific explanation of why clean rooms are becoming the backbone of marketing measurement in 2026. #DataCleanRooms #MarketingAttribution #PrivacySandbox #Incrementality #Measurement #RetailMedia #GoogleAds #Meta #CRM #AdTech #PrivacyFirst #MarketingAnalytics #Business #FexingoBusiness #BusinessPodcast #PodcastEpisode #Episode80 #Marketing Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    11 mins
  • How In-App Events Improve Mobile Marketing Attribution

    How In-App Events Improve Mobile Marketing Attribution
    Jun 28 2026
    Episode 79 of Marketing Analytics with Fexingo. Lucas and Luna dive into a specific blind spot in mobile attribution: the over-reliance on in-app purchases as the only conversion signal. Lucas explains how in-app events like level completions, tutorial finishes, or content shares can serve as stronger leading indicators of long-term value, especially for freemium apps. He walks through a concrete example from a mobile gaming studio that shifted from last-touch IAP attribution to an event-based model, improving their ROAS by 23 percent within one quarter. Luna challenges whether event-based attribution introduces new complexities, like event quality scoring and privacy constraints from Apple's App Tracking Transparency. The conversation lands on practical steps: identify the five in-app events that best predict retention, weight them by correlation to seven-day engagement, and then use media mix modeling to validate the lift. No fluff. One concrete framework you could start testing next week. #InAppEvents #MobileAttribution #FreemiumModel #AppTrackingTransparency #MarketingAnalytics #CampaignMeasurement #AttributionModeling #MobileGaming #EventBasedAttribution #ConversionSignal #ROAS #RetentionMetrics #Marketing #Business #Attribution #FexingoBusiness #BusinessPodcast #Podcast Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    12 mins
adbl_web_anon_alc_button_suppression_t1
No reviews yet