You’ll be hard pressed to find someone that understands martech and is more advanced in their Claude Code journey than Austin Hay. He maps the 2 chasms separating most marketers from big AI leverage, makes the case for a new class of professional he calls the white collar super saiyan, and walks through the automations he’s actually built.More
Tag Archives: data model
191: Aboli Gangreddiwar: Self healing data agents, hivemind memory curators and living documentation
Aboli and Phil explore AI agent use cases like self-healing data quality agents, AI hivemind memory curator, documentation agents and AI browsers and a bunch more!More
190: Henk-jan ter Brugge: The Head of Martech at Philips thinks martech has outgrown marketing and it’s time we lead like pirates
Henk-jan works like a pirate inside the navy, exposing inefficiency with data, redesigning roles around real capabilities, and breaking AI promises into measurable wins backed by clean data and clear standards. He treats composability as an operating model with budgets tied to usage, gives local teams autonomy within guardrails, and measures martech by how it serves people and drives revenue.More
188: Rebecca Corliss: Why lifecycle marketers will thrive in the agentic marketing org
Rebecca imagines a future marketing org built on three layers: leadership fluent in data and AI, a dispatch control tower staffed by engineers and privacy experts, and pods that design customer journeys while agents handle scale. More
185: Jonathan Kazarian: Platforms vs point solutions and the marketing operator’s dilemma
Jonathan framed point solutions as late-night distractions, while Phil argued they solve real constraints platforms can’t touch. Darrell pulled the lens to data models and warehouse-native teams lean on composability for speed and control. We also cover costs, support, documentation, integrations and more!More
74: Pratik Desai: A time traveler’s guide to martech and personalization
Today we have a super fun conversation with Pratik Desai, Founder and Chief Architect at 1to1. We dive into what martech and aerospace have in common as well as the speculative future of personalization. Pratik also gives us his take on the challenges that AI has to replace everything a marketer does today.More
66: A guide to data models and dynamic dashboards for marketers
Understanding how a dashboard is powered, and having a sense of what is possible and what is not, is a crucial differentiator. Too often, I have seen dashboard projects built in a vacuum, disconnected from the reality of the data and the systems that support them. In these cases, valuable time and resources are wasted building an idealistic dashboard that cannot be implemented or used effectively.More
65: It takes a village to build a dashboard
When designing a dashboard, it’s important to focus on the decisions you want to make, rather than just the metrics you want to track. Before building your dashboard, consider your audience and bring together the right people to answer key questions. This will help you create a prototype of your first version.More