Stephen shares practical and innovative examples of combining AI tools with iPaaS tools to do things like parsing email auto-responses and subcontracting tech support questions from family members. He’s a fan of starting simple, gradually advancing to more complex solutions, all while maintaining a keen focus on ethical considerations and human interaction. More
Category Archives: guest episode
111: Jessenia Francisco: Leading MOps at Asana and Lucidchart, feeding on your own martech and overcoming imposter syndrome
Jessenia tackles imposter syndrome by fostering an inclusive culture, explores the strategic use of tools like Lucidchart in her own day to day, and advocates for mindful martech selection, particularly the integration of AI, balancing innovation with practicality.More
110: Josh Kim: Notion’s Growth Marketing Lead on choosing and democratizing experiments and the marketer’s role in a growth pod
Josh helped us elevate growth marketing from scattered tactics to a unified framework, emphasizing data-informed decisions, teamwork, and a cohesive vision. He detailed the significance of a marketer’s adaptable role in a growth pod, the value of strategic martech use, and the power of experimentation. More
109: Deborah Mayen: Logitech’s Head of MOps on simplifying martech and antifragile cultures to withstand chaos
Debbie walks us through why she’s big on the whole marketing-meets-IT vibe, pushing for teamwork that taps into the best of both. And how her focus on celebrating wins and building an anti-fragile culture is key to withstanding chaos and uncertainty in a profession riddled with burnout.More
108: Ezra Fishman: Wistia’s VP of Growth on healthy data skepticism and North star metric limitations
Ezra is a strategic and technical visionary at Wistia. He combines an audience-first content strategy with a data-informed approach to drive sustainable growth. His insights offer invaluable lessons on growing and engaging with audiences in meaningful ways, advocating for a blend of strategy, intuition, and data-informed decisions in marketing.More
107: Justin Norris: What MOPs can learn about AI from WALL-E and Star Trek
Justin is a polished voice of reason in martech. In our conversation, he focused on the practicality of AI, the shift towards flexible, composable tech stacks and the importance of diverse skills alongside a few Sci-fi references.More
106: Crissy Saunders: Funnel reporting, composable automation and the future of outbound
Crissy takes us through the evolution from tactical management to strategic leadership, and the adaptation to changing marketing strategies. We discuss the significance of specialized platforms in marketing automation, the critical role of the sales funnel in revenue growth, the shift in email marketing towards ‘inbox influence’, and revitalizing outbound marketing strategies. More
105: Josh Hill: Mastering martech with a hands-on, exploratory approach and rigorous data hygiene
Josh delved into how integrating sales experience into marketing strategies leads to more customer-centric approaches. He highlighted the importance of hands-on experience with martech tools, blending marketing creativity with technical know-how, and the significance of high-quality data for effective AI implementation in marketing.More
104: Paul Wilson: The Butterfly effect of martech pros and why they will bring a new hope for AI
This episode was a hyperdrive journey through the galaxy of martech, peering into the future and illuminating the path for marketers to balance the Force of technological advancement with the art of human creativity. We delved into marketing operations, where professionals are like astute navigators of starships, steering through the complex cosmos of data management and AI integration.More
103: Britney Muller: Deciphering the alien nature and the ethical complexities of LLMs
Britney offers a comprehensive view of the intersection of marketing and LLMs, blending technical know-how with ethical mindfulness and human-centric approaches. Her perspectives encourage professionals in the field to not only embrace AI for its efficiencies but to also understand and address its complexities, ensuring its development and application are both responsible and inclusive.More