The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations

In this episode, Lucas and Luna dive into the staggering waste in marketing technology stacks. They focus on a specific problem: unused or underutilized software licenses. According to a 2025 Gartner survey, companies waste an average of 27 percent of their MarTech budget on licenses that are never activated or used. The hosts discuss real-world examples, including a B2B SaaS company that discover...

Lucas and Luna dive into dark social traffic—the 80% of sharing happening in private channels like WhatsApp, email, and Slack—and why most marketing automation completely misses it. They break down how Radware saw a 40% boost in attributed conversions by adding a dark-social layer to their analytics, and walk through the tactical fix: UTM-shy links, share-tracking pixels, and a simple onboarding p...

In this episode, Lucas and Luna dive into a hidden leak in B2B marketing operations: form abandonment rates that average 30 to 40 percent across industries. They break down a real-world case from a SaaS company that cut form fields from nine to four and saw a 22 percent lift in demo requests. The hosts explore specific form elements that kill conversion — from address fields to CAPTCHA clutter — a...

Episode 76 of The Marketing Operator Podcast digs into the staggering waste in B2B marketing technology stacks. Lucas and Luna reveal that the average enterprise uses only 28% of its martech capabilities, citing a 2025 Gartner survey showing companies waste over $1.2 million annually on unused software. They explore why this happens, from siloed buying decisions to feature bloat, and discuss real-...

In this episode of The Marketing Operator Podcast, Lucas and Luna tackle a pervasive problem in B2B marketing: the allure of vanity metrics. They drill into a specific case — a $200 million enterprise software company that spent $1.2 million on a brand awareness campaign, only to discover via multi-touch attribution that 78% of the pipeline came from existing customers, not new logos. The hosts un...

In this episode, Lucas and Luna dive into a blind spot many e-commerce marketers miss: how Amazon's demand-side platform (DSP) interacts with standard marketing attribution models. They unpack why last-click and multi-touch attribution often undervalue Amazon DSP's role in driving conversions, using a real example from a mid-size CPG brand that saw a 30 percent lift in total sales when they accoun...

Episode 73 of The Marketing Operator Podcast. Lucas and Luna dissect a 2026 Gartner finding that 57% of marketing-qualified leads never convert because lead scoring models reward engagement volume over buying intent. They walk through a real B2B SaaS case where a company rebuilt its scoring logic around intent signals instead of form fills and email clicks, lifting MQL-to-opportunity conversion by...

Most B2B marketing teams build lead-scoring models that reward engagement volume over buying intent. In this episode, Lucas and Luna break down why a 50-point email click is worthless if the contact never matches an active buyer persona — and how one SaaS company cut their sales team's wasted follow-up time by 40 percent after rebuilding their model around behavioral recency and product-qualified...

Lucas and Luna dig into a 2026 Gartner survey showing that 68 percent of B2B marketers still report on top-of-funnel metrics like impressions and clicks as primary success indicators, even though those metrics have near-zero correlation with pipeline generated. They walk through a real example from a mid-market SaaS company that shifted from MQLs to meeting-attendance signals and saw a 22 percent...

In this episode of The Marketing Operator Podcast, Lucas and Luna tackle a common B2B email marketing pain point: over-suppression caused by outdated engagement scoring models. Using the case of a mid-market SaaS company that saw a 22% drop in reach after a platform-wide migration, they explain how static recency-and-frequency models punish valuable inactive subscribers. The episode drills into a...

Episode 69 of The Marketing Operator Podcast digs into a blind spot in marketing attribution: retail media networks. Lucas and Luna explain how retail media networks like Amazon Ads, Walmart Connect, and Instacart operate as walled gardens with proprietary attribution models that often overcredit themselves. They contrast this with traditional digital attribution, discuss incrementality testing ch...

Lucas and Luna unpack why standard marketing attribution models miss the impact of Amazon DSP campaigns. Using the example of a mid-market DTC furniture brand that ran Amazon DSP alongside Google Ads and Meta, they show how last-click and even multi-touch models undervalue the top-of-funnel awareness DSP generates. They explain Amazon's closed-loop measurement, the 'halo effect' on organic search...

Episode 67 of The Marketing Operator Podcast digs into a blind spot that costs B2B marketers millions: offline event attribution. Lucas and Luna break down a 2025 Forrester study showing that 62 percent of B2B buyers attend at least one industry conference during their purchase journey, yet fewer than 1 in 5 marketing teams can connect a trade-show booth scan to a closed-won deal. They walk throug...

Most marketing attribution models assume a single device path to purchase. Lucas and Luna unpack a 2025 quadrant study from Marketing Evolution showing that 63% of B2B buyers switch devices during the consideration phase, with 41% starting on mobile and converting on desktop. They walk through a real example: a SaaS buyer sees a LinkedIn ad on iPhone, searches the brand on Chrome laptop, reads a G...

Lucas and Luna dive into a blind spot in marketing measurement: influencer attribution. They break down why standard last-click and even multi-touch models miss influencer-driven conversions, using the example of a skincare brand that spent $80,000 on nano-influencers but couldn't trace the resulting $300,000 in sales through its analytics tool. The episode covers the problem of view-through attri...

Lucas and Luna dig into the blind spot most B2B marketing teams share: the 'dark funnel' — buying signals that never touch your CRM, MAP, or ad platform. They walk through a real case from a cybersecurity firm that found 38 percent of its closed-won revenue came from accounts that had zero tracked marketing touches. The hosts explain why traditional attribution misses dark channels like Slack comm...

Episode 63 of The Marketing Operator Podcast tackles the hidden waste in B2B marketing: audience data recycling. Lucas and Luna break down why most ABM and demand gen efforts fail because they keep serving the same 500 interpreted contacts instead of prospecting net-new signals. Using a case study from a cybersecurity vendor that spent $80,000 on a campaign that hit 73% overlapping accounts across...

In this episode of The Marketing Operator Podcast, Lucas and Luna tackle a blind spot in B2B marketing automation: group buying decisions. Most tools attribute a deal to the last-touch contact, ignoring the six to ten stakeholders who influence a purchase. Lucas breaks down a 2025 Gartner study showing the average B2B buying group includes 11 people, and explains how automation platforms like Mark...

Lucas and Luna unpack why traditional email marketing metrics—open rates, click-through rates, and bounce rates—are misleading in 2026. They dive into inbox engagement metrics: time-to-open, time-to-click, and inbox placement rates. Using a case study of a B2B SaaS company that rebuilt its email program around these metrics, they show how focusing on engagement signals boosted reply rates by 34% a...

Lucas and Luna dig into a blind spot most marketing automation platforms still ignore: dark social traffic—links shared via private messaging apps, email, and SMS that strip referral data. They break down how this hidden channel can represent 15-25% of your actual sharing activity, why attribution models treat it as direct traffic, and what a simple UTM tagging strategy for internal advocates can...

Lucas and Luna explain why most account-based marketing programs fail to convert target accounts—not because of bad targeting, but because they lack intra-account coordination. They break down how the 'napkin math' of ABM ROI often hides the real problem: sending the same message to everyone at the account. They walk through a concrete example from a B2B cybersecurity vendor that increased pipelin...

Why Zero-Party Data Beats Third-Party Cookies in 2026. Hosts Lucas and Luna break down how marketers can future-proof their stacks by collecting data that customers willingly share. They examine a case study from a DTC skincare brand that replaced cookie-based targeting with preference centers and interactive quizzes, boosting email conversion rates by 34 percent and cutting cost-per-acquisition b...

Episode 57 of The Marketing Operator Podcast digs into content syndication leakage — the hidden problem where your gated content partners are sending you junk leads that distort pipeline reporting. Lucas and Luna break down the math behind a $2 million pipeline gap at a B2B SaaS company, explain why partner-tiered pricing destroys lead quality, and walk through a three-step fix: audit your partner...

Lucas and Luna dive into why standard marketing attribution models are blind to Amazon's ecosystem. They explore the 'last-click Amazon problem,' where brands see a surge in sales after ads but can't prove causality. Using the example of a D2C skincare brand that ran a six-week Amazon campaign, they break down how Amazon's attribution tools overcredit its own ads while ignoring organic search and...

Lucas and Luna unpack a hidden flaw in marketing automation: most platforms are built to trigger on marketing signals (email opens, form fills) but miss revenue-stage signals like contract signings, upsell triggers, and renewal dates. They examine a real case from a mid-market SaaS company that discovered 40% of its known expansion opportunities were invisible to its automation because they were l...