What if you could know how a prospect thinks before you ever sent a single email?
Matthieu Dejardins is the founder and CEO of Scalience — formerly NextUser — and he's spent two decades sitting at the intersection of psychology, data, and marketing. In this episode, Mathieu breaks down why he walked away from the traditional SaaS model and why that decision was the best thing he ever did for his business.
We get into the cognitive layer he built on top of IBM Watson's personality model — 142 psychographic characteristics extracted from text — and how that data is now used to personalize outbound messaging, ad creative, and sales conversations at a level most marketers don't even know is possible.
We also talk about why everyone doing AI-powered outbound is converging on the same noise, why volume is the wrong game to play, and how aligning your message to how a person actually processes information changes conversion rates in ways that are very measurable.
Mathieu shares real results: a 6:1 ROI for a medical apparel startup launching from zero, and a B2B SaaS client outperforming Google Ads CPL in under three months. No fluff, just the architecture behind it.
If you're in GTM, sales, or building any kind of outbound motion in 2025, this one will reframe how you think about personalization.
Connect with Matthieu
Discover NextUser/Scaliance