Show Don’t Tell
Mark Debenham, VP of Growth Marketing and Marketing Operations at Adverity, came to data through content and arrived at a simple conviction: you cannot have one without the other. In this conversation he dismantles analysis paralysis, makes the case for self-reported attribution, and introduces two frameworks you will not forget: the flywheel, and the pretzel.
“You can’t just think, I’m going to create engaging content today. Your audience is going to decide whether your content is engaging.”
Mark Debenham is the VP of Growth Marketing and Marketing Operations at Adverity, the integrated data platform that helps marketing teams automate data connectivity, transformation, and utilisation at scale. He has been with the business for over six years, growing from Marketing Automation Manager to Head of Growth Marketing to VP, building a team that covers paid media, content, and marketing operations.
Mark came to marketing through publishing, working first in children’s books and B2B editorial before moving into inbound marketing and marketing automation. He cut his teeth at agencies and B2B technology companies including Publicis Pro, AVADO, Medallia, and pi-top, developing a specialism in HubSpot and lead nurturing before joining Adverity in 2019. The move brought together both sides of his career: the content discipline and the data infrastructure to know whether it is working.
His approach to growth marketing is built around listening: to audiences, to customers, to the sales team, and to the data. He surveys prospects after demo bookings. He surveys the sales team on every deal won and lost. He tracks what he calls self-reported attribution: simply asking people how they heard about the business and why they chose to engage at that moment. For Mark, the most valuable metric is not a number. It is a story.
“Don’t tell me the moon is shining. Show me the glint of light on the broken glass.”
“You can’t have one without the other. It was inescapable for me.”
Mark came to data through content and to content through data, and has never found a useful distinction between the two. Content without data is guesswork. Data without content is infrastructure with nowhere to go. The most effective growth marketing function treats them as a single discipline: content informs what the data should track, and data informs what the content should say next.
“The metric for me isn’t a number. It’s a story: how they heard about us and why they decided to engage.”
Attribution models tell you the mechanics of how a lead arrived. Self-reported attribution tells you what was memorable. Mark asks, on every form, at every touch point, how did you hear about us? Not to credit a channel, but to understand what made a lasting impression. That qualitative signal, layered over the quantitative models, gives him a picture of where growth is coming from and what to do more of.
“Buying processes can be complicated and long. It’s not always a flywheel. Sometimes it’s a pretzel.”
The flywheel model, attract, engage, delight, is right as a philosophy of sustained growth through customer satisfaction. But Mark is honest about its limits. Complex B2B buying processes involve multiple stakeholders, competing agendas, long cycles, and unpredictable decision points. The pretzel is not a failure of the model. It is a reminder that the model is a map, not the territory.
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