Michael’s on a mission to make data insights accessible and useful for everyone, not just experts, by leveraging AI to provide tailored, easy-to-understand insights that boost decision-making. This episode unpacks the future of Business Intelligence, automating insights with LLMs, and the importance of anomaly detection. Michael also discusses how proprietary data gives companies a competitive edge in the AI market.More
Tag Archives: attribution
123: Andrea Lechner-Becker: Creating content that people will give a f*ck about
Andrea takes us on a wild ride filled with nuggets of wisdom, a few f-bombs and tons of laughs as she unpacks her deep understanding of marketing. She sheds light on how flawed attribution methods can lead marketers to do dumb things, why investing in branding from the outset is table stakes and bunch more stuff!More
100: Sara McNamara: Pathfinding via Attribution, AI Tool Evaluation, and Mastery in Communication and Boundary Setting
In the martech landscape, navigating success is like being a skilled dinosaur hunter. Marketers must blend practical data skills and a deep understanding of AI tools, much like a hunter using knowledge and tools to track and understand their prey. Attribution serves as a guide through the wilderness, where balancing tried-and-true methods with new territories is key.More
94: Ryan Gunn: HubSpot Cheat Codes, AI Features, Attribution and Documentation
Gaining practical skills from HubSpot’s developer portal is critical—certifications alone won’t cut it. If keeping up with martech changes overwhelms your in-house team, specialized consultancies offer a reservoir of constantly updated expertise. Sound documentation serves as the bedrock of your internal processes, setting you up for long-term success.More
93: Tara Robertson: Cost-Effective Growth and Creative Attention in B2B
Use personal biases to create targeted campaigns and ignore buzzwords and rigid MQL definitions. Tara’s strategy—act on active interest immediately—cuts through the noise and boosts efficiency. Whether it’s career or marketing, it’s all about authentic, effective action.More
90: Lucie De Antoni: Startup alchemy, mixing data literacy and attribution with empathy and collaboration
Lucie emphasizes that attribution needs planning, but don’t let martech make you forget empathy and emotional intelligence. It’s a no-nonsense take on making martech work for you, focusing on strategy over tactics.More
81: Pini Yakuel: Self-optimizing campaigns, the cost of generalization and packaged Martech
Pini Yakuel sheds light on the era of hyper-personalized marketing campaigns, harmonizeing human creativity and AI precision, reshaping marketing strategies and introducing an innovative approach to email marketing metrics. Pini’s insights offer a valuable compass as you navigate the landscape of AI.More
79: Aliaksandra Lamachenka: The rise of data product managers and the organic evolution of AI in marketing
Aliaksandra takes us on a journey through the evolving AI landscape in marketing, promising a future shaped by deep human expertise and broad understanding. She introduces the rise of business-savvy data product managers, who are revolutionizing martech by marrying marketing with ML.More
72: Bobby Tichy: AI and the future of Martech, a deep dive from SFMC to Braze
Today we’re joined by Bobby Tichy, he’s Co-Founder and Chief Solutions Officer at Stitch. Bobby’s a highly respected Martech veteran having spent over a decade working in technical roles for some of the biggest names in martech. He spent a combined 6.5 years working on the Professional services teams at arguably 2 of the most well known companies in martech, Salesforce and Marketo.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