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
Tag Archives: AI and Automation
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
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
146: Jim Williams: The strategic role of marketing ops in annual planning
Forget version control spreadsheets and stale budgets, Jim’s take on marketing planning is about putting purpose behind every dollar. Instead of throwing darts at a board, focus on creating a blueprint that connects goals to actual business impact. For him, goals shouldn’t be handed down from the top like a royal decree but hammered out together with practitioners so they’re ambitious… but you know, grounded in reality.More
144: Steven Aldrich: Identify the martech you really need with a bottom-up analysis
Like the aftermath of Ragnarök according to Norse mythology, the martech world is emerging stronger, more focused, and ripe with potential. Rather than being overwhelmed by the chaos, marketers should use this time to rethink how to evaluate technology choices through the lens of business value.More
143: Danny Lambert: A guide to data transformation and building a warehouse-first martech stack
Marketers often feel like they’re battling a dragon when it comes to integrating data. We’re overwhelmed by technical jargon, stuck with outdated methods, and facing roadblocks from data teams. Danny walks us through his journey of cautiously entering the data world and the role dbt can play for marketing teams. Here’s how to get started with a warehouse-first martech stack.More
140: Jared DeLuca: Appcues’ Director of Ops on integrating demo bookings within your product and using AI to uncover incremental lifts
Jared takes us inside the mad but amazing world of martech at Appcues – the top product adoption SaaS on the planet. We cover his transition from demand gen to ops, how he’s integrated demo bookings within the product using RevenueHero, the difference between ops and revops. More
138: Erin Foxworthy: Snowflake’s Industry Lead on the future of data warehousing, from APIs to data sharing and a unified data layer
In this episode, Erin takes us on a ride through the merging worlds of martech, adtech, AI, and privacy, giving a bold glimpse into what’s next for customer data. We cover how you can use 1st party data for seed predictions, why it’s time you move on from APIs and adopt data sharing and what the unified data layer means for marketers.More
128: Vish Gupta: Why simplification should come before automation if you want to avoid a Frankenstack
We touch on the pitfalls of Frankenstein stacks and the perks of self-service martech. Vish explains why martech isn’t just for engineers and highlights the efficiency of customized Asana intake forms. We also tackle the dangers of over-specialization for senior leaders. Additionally, we explore the intersection of martech and large language models (LLMs), providing insights on how to stay ahead in the evolving landscape.More
127: Carmen Simon: Using brain science to deviate from expected patterns and create memorable content
Carmen takes us on an adventure exploring the wonders of brain science and how to sustain attention through contrast. We cover embodied cognition, deviating from expected patterns and avoiding the sea of sameness in AI content. We also take a detour into the speculative future of neuroscience and making data impactful through context. More