227: The Correlation masquerade (The Dungeon of martech architecture, part 3)

Your warehouse is clean, your agents are running, everything looks like it’s working, and that’s the trap. This floor is where AI mistakes correlation for causation and scales the mistake at machine speed, eroding revenue behind a green dashboard. We unpack the fix: holdouts, guardrails, and a causal context graph that proves what actually works.More

200: Matthew Castino: How Canva measures marketing

Matt leads the measurement function at Canva, he reshaped measurement so centralized models stayed steady while embedded data scientists guided decisions locally, and he built one forecasting engine that finance and marketing can trust together.More

167: Moni Oloyede: The marketing ops identity paradox, attribution is a waste of time and GTM engineering is just sales ops

Your buyers can’t remember why they bought from you, our brains physically can’t store that information correctly. But we’ve built elaborate attribution systems pretending otherwise. Moni helps us understand why we need to stop crediting random touchpoints and start measuring how effectively each content piece performs its specific job in moving people through your funnel.More

165: Ashley Faus: Building content that matches actual human thinking by integrating lifecycle, content and product marketing

Marketing frameworks often fail because they ignore how humans actually behave. People don’t follow neat, linear paths; they explore, double back, and leap ahead based on genuine interests. Drawing from her diverse experience across corporate communications and lifecycle leadership, Ashley exposes how artificial walls between marketing functions create dysfunction while offering a solution. More

135: Pranav Piyush: Why multi-touch attribution is broken and what you should do instead

Pranav guides us out of the labyrinth of multi-touch attribution under the clear sky of incrementality and causality, urging marketers to focus on whether their efforts genuinely drive sales that wouldn’t have happened otherwise. Early-stage startups can benefit by prioritizing simple methods like geo-based testing over complex attribution models, allowing intuition to guide resourceful experimentation.More