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Hosted by Fexingo · 🇺🇸 US · EN · 107 episodes
Established thought leaders with verified media credentials.
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 gi
Fexingo hosts Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance, a business show with 107 episodes published.
Lucas and Luna expose a hidden flaw in marketing attribution: display retargeting gets more credit than it deserves because of recency bias, last-click proximity, and inflated view-through conversion windows. Using a rea
Lucas and Luna unpack dark social — the private sharing (texts, DMs, emails, WhatsApp) that your attribution model can't see. They discuss a 2025 RadiumOne study showing dark social drives 32% of all content sharing, yet
Episode 131 challenges a common assumption in email marketing attribution: that an email open equals genuine influence. Lucas and Luna unpack a 2025 study from Litmus showing that Apple's Mail Privacy Protection causes r
Lucas and Luna tackle a blind spot that trips up nearly every marketing team: the over-reliance on user-level attribution models that can't capture aggregate effects like brand lift or halo. They break down why the indus
Episode 129 of Marketing Analytics with Fexingo. Lucas and Luna dig into a blind spot in most attribution models: branded search. They walk through a real scenario from a mid-market DTC brand that saw its ROAS drop 30% a
Episode 128 of Marketing Analytics with Fexingo. Lucas and Luna tackle a blind spot in attribution: streaming audio ads on Spotify and Apple Music. Most marketers still use click-based tracking for a channel that has nea
Episode 127 of Marketing Analytics with Fexingo dives into a blind spot many attribution models share: phone calls. While Clicks and form fills get tracked down to the keyword, phone calls from search ads often get lumpe
Episode 126 of Marketing Analytics with Fexingo takes on one of attribution's most stubborn blind spots: affiliate link fragmentation. Lucas and Luna unpack how brands like REI and Target lose track of conversions when c
Episode 125 of Marketing Analytics with Fexingo tackles a blind spot in most attribution setups: view-through conversions. Lucas and Luna explore how the industry's shift to last-click and click-based models systematical
Episode 124 of Marketing Analytics with Fexingo tackles a blind spot most attribution models share: trade shows and live events. Lucas and Luna dig into a 2025 B2B case — a cybersecurity firm that spent $2 million on a s
Episode 123 of Marketing Analytics with Fexingo digs into why standard attribution models systematically undervalue podcast advertising. Lucas and Luna walk through a real-world example: a DTC mattress company that saw n
In this episode of Marketing Analytics with Fexingo, Lucas and Luna tackle a persistent blind spot in modern attribution: direct mail. Most marketing teams write off snail mail as unmeasurable, but new tracking methods —
Lucas and Luna unpack a blind spot most attribution models share: they can't track in-store visits from digital campaigns. They walk through data from a mid-size apparel brand that ran a controlled study last quarter. Af
Retail media networks like Amazon Ads, Walmart Connect, and Instacart are now a $50 billion-plus ad channel, but most attribution models completely misallocate credit for these placements. In this episode, Lucas and Luna
Lucas and Luna unpack the dark matter of marketing attribution: interactions that never produce a click. They walk through a real example from a mid-market DTC brand that saw a 34 percent lift in attributed revenue after
In this episode of Marketing Analytics with Fexingo, Lucas and Luna unpack why Facebook attribution systematically overweights the platform for B2B SaaS companies. They walk through a real case: a $50 million ARR cyberse
Lucas and Luna examine how influencer marketing breaks standard attribution models. Most platforms credit a last-click or first-touch conversion, but influencer content works differently — it builds consideration over ti
Episode 116 of Marketing Analytics with Fexingo dives into a blind spot that's quietly undermining marketing measurement: retail media networks. Lucas and Luna explore how Amazon, Walmart, and Instacart's ad platforms op
Lucas and Luna dig into a persistent blind spot in marketing analytics: the systematic overvaluation of display retargeting by multi-touch attribution models. Using a concrete example from an e-commerce brand running a 9
Episode 114 of Marketing Analytics with Fexingo digs into a specific blind spot in digital attribution: the way platform-reported conversion data biases budgets toward Meta's ecosystem. Lucas and Luna walk through a real
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Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance is hosted by Fexingo. The show is categorised under business and has published 107 episodes.
Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance has published 107 episodes.
Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance regularly covers business. It sits in the business category.
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