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

In this episode, Lucas and Luna dig into a quiet crisis in digital marketing: the collapse of lookalike audience performance on Meta and Google since mid-2025. They examine why models trained on first-party data are degrading faster than ever, using the specific case of a direct-to-consumer brand that saw its cost per acquisition triple after iOS privacy changes and signal loss. Lucas explains the...

Lucas and Luna dive into the messy world of marketing attribution, using a real case from a mid-market SaaS company that ran a six-channel campaign and got three completely different attribution models. They unpack the Last-Click vs. Multi-Touch debate, explain why the average marketer still cannot trust their own data, and offer a practical framework for aligning attribution with actual business...

Lucas and Luna dig into a single counterintuitive metric that explains why most email marketing falls flat: inbox placement rate, not open rate. They walk through a real case from a mid-market DTC brand that saw open rates drop by 40% after a segmentation push — and why the real culprit wasn't the content but the sender reputation. Lucas breaks down how Google and Microsoft mailbox providers score...

In the debut episode of The Marketing Operator Podcast, Lucas and Luna dive into a shocking figure: 75 percent of CRM data is inaccurate, according to a 2025 Gartner study. They break down why this happens, using the real-world example of an enterprise software company that discovered its lead scoring model was trained on garbage data—resulting in wasted ad spend and misaligned sales teams. Lucas...