In this conversation, Kevin Lee of Didit and the E‑Marketing Association interviews Scott Gillum about his book The Hidden Buyer Journey and how personality, emotion, and trust shape B2B buying far more than most organizations recognize.
Scott explains that the work began over a decade ago when his agency started examining the role of emotions in B2B purchase decisions. That exploration led to a focus on personality types as a key driver of behavior. While B2B marketers often rely on long lists of “personas,” Scott argues many of these are really selling scenarios, not grounded in how real people think and decide.
Using DISC-based segmentation across 15 industries, Scott’s team discovered that “birds of a feather flock together.” Personality doesn’t just influence style; it often predicts profession, company, and industry—especially in highly educated or specialized roles. For example, two‑thirds of data scientists in life sciences test as “Steady” types, while CISOs tend to be “Conscientious”: skeptical, analytical, and data‑driven. This clustering enables mass personalization at scale: by tailoring messaging and experiences to the dominant personality types in a given role or industry, marketers can become dramatically more relevant without needing infinite versions of content.
The discussion then moves to buying groups and the hidden dynamics inside long, complex deals. Scott connects his findings to concepts from The Challenger Customer around “mobilizers” and uses AI‑driven personality profiling tools to infer who plays which role—early‑stage influencers, internal champions, late‑stage validators—over journeys that can span 15 months or more. This exposes a layer of buyer behavior that traditional tools don’t see.
When it comes to final decisions, Scott distinguishes between rational purchase drivers (usability, value, features) and the softer factors that actually tip the deal at the moment of choice. He identifies three: trust, credibility, and what he calls “hope”—the belief that partnering with a vendor will truly work out well.
They also explore the growing role of AI and agents in sales and marketing. Scott sees AI as primarily an efficiency play; the real leverage now lies in conversion, not sheer lead volume. That implies fewer, better‑qualified leads and better‑trained human sellers, with AI handling low‑value tasks. Finally, he advises marketers to simplify: focus on getting prospects to take meaningful actions, invest in high‑value human content that builds authority, and evaluate everything through the lens of return on effort, not just tool adoption or activity volume.