Jason breaks down the 5 non-negotiables of minimum viable readiness before you deploy any AI agent, explains why the marketing ops function is becoming more critical as AI takes over execution, and argues that unbounded AI autonomy creates more risk than warehouse data ever will. He also defends GTM engineering as a real discipline rather than a rebrand, and closes with a Dune analogy.More
Tag Archives: data literacy
221: Jason Dobbs: You need Minimum Viable Readiness for AI because perfect data doesn’t exist
Jason breaks down the 5 non-negotiables of minimum viable readiness before you deploy any AI agent, explains why the marketing ops function is becoming more critical as AI takes over execution, and argues that unbounded AI autonomy creates more risk than warehouse data ever will. He also defends GTM engineering as a real discipline rather than a rebrand, and closes with a Dune analogy.More
174: Joshua Kanter: A 4-time CMO on the case against data democratization
Joshua spent the earliest parts of his career buried in SQL, only to watch companies hand out dashboards and call it strategy. Teams skim charts to confirm hunches while ignoring what the data actually says. He believes access means nothing without translation. You need people who can turn vague business prompts into clear, interpretable answers.More
159: Ana Mourão: Privacy-first data literacy and modernizing legacy martech at a global enterprise with data templates and POCs
Ana created the Experimental Marketer framework to help marketers have a more strategic view (and be more hands-on) with martech and become better allies in using and realizing martech value. She takes us on an adventure through a big martech transformation project with a global enterprise and how she applied that framework to help them scale.More
155: Meg Gowell: Typeform’s full stack marketer on growth experiments, brand momentum and warehouse-native stacks
Marketing leadership in 2025 is a wild time. After years of learning martech and technical concepts to become a full stack marketer, you finally land that dream director gig… only to watch your hard-earned tech skills collect dust while you drown in meetings. Megan helps us see the way forward.More
153: Sundar Swaminathan: How Uber measures the ROI of marketing according to their former Growth Marketing Data Science Lead
After leading Uber’s Marketing Data Science teams, Sundar shares insights that work for both tech giants and startups. Beyond uncovering that Meta ads generated zero incremental value (saving $30 million annually), they mastered measuring brand impact through geo testing and predicting LTV through first-week behaviors. Small companies can adapt these methods through strategic A/B testing and simplified attribution models, even with limited sample sizes. More
152: Sarah Krasnik Bedell: A data eng turned marketer on embedded marketing analysts and batch vs webhook pipelines
What happens when a data engineer with an obsession for truth-testing crashes into marketing’s ‘best practices’? Sarah’s journey from code to growth unfolds like a trained detective story, where she picks apart marketing myths and rebuilds them with an engineer’s first principles. Her fresh take on centralyzed vs decentralyzed data team structures favors embedding an analyst deeply in marketing and growth teams.More
151: Austin Hay: An operator’s guide to AI agents, composability, building in concert and self-designing APIs
Something extraordinary is brewing in the world of martech. In the near future, Austin thinks AI agents will turn into an omniscient digital butler, anticipating your needs with uncanny precision while vanishing into the background of your workday. But the real revolution unfolds in the seemingly mundane machinery of marketing operations, where innovative companies are transforming their spaghetti mess of data pipes and platforms into something approaching digital poetry. More
149: Kacie Jenkins: Claude Code’s Head of Marketing on capturing the true impact of marketing and avoiding reductive metrics
Marketing isn’t about cramming creativity into a spreadsheet, and Kacie’s journey proves it. She took on last-touch attribution, broke free from narrow metrics, and built a system that told the whole story, one where sales and marketing actually worked together. It wasn’t flashy; it was months of unsexy foundational work that led to record-breaking results. More
148: Stephen Stouffer: Understanding AI’s role in customer journeys and messaging
AI can transform your marketing without overwhelming you. Start with one use case. Watch the results, and go from there. You don’t need to master data science to add AI value, but you need to be willing to experiment, keep what works, and let the tech do the heavy lifting.More