In this podcast excerpt, the hosts discuss the two distinct meanings of NLP—Natural Language Processing (the AI-driven analysis of large text datasets) and Neurolinguistic Programming (the study of how language influences emotional processing in the brain). They explain how they use AI-powered NLP to scan reviews, emails, transcripts, and quizzes, extracting keywords, phrases, and identity‑focused insights. Complementing this, they apply various psychology models to uncover emotional and identity motivators that drive audience behavior. The combined approach informs the creation of more persuasive email and SMS copy, aiming for higher conversion rates. The segment ends with a brief call to subscribe to the podcast.
If you wanted to be a copywriter, you had to learn NLP. That was like it. And then there's also core frameworks, which is understanding fundamental that motivates an audience, right? Which is a little bit different from how you speak to 'em, right? Can you tell us about both and how you use those to inform people in, you know, when you're working on email and SMS design?
I use a lot of different like psychology models, psychology frameworks to try and pull out these kind of emotional motivators and these more like identity-focused motivators.
NLP is a fantastic one. There's 2 lines to NLP.
There's natural language processing, which is what the AI LLMs are good at, meaning we take down a big chunk of data data and we go through it, we comb through it, we pull out basically like keywords and phrases, and then we'll tell you exactly what we see, a summary of everything. There's also neurolinguistic programming, which is like completely different, and that one has to do really more with like understanding how emotions get processed through the brain on a language level. And I think both are kind of important. I typically use natural language processing with the AI, and that one is fantastic because it'll take down the data you already have, like reviews, emails, transcripts, quizzes, those type of things, and it'll give you a good summary for like, this is what we see just based upon the words that are being used. Most brands typically know how to do this, at least at the lower, like, base level. But the interesting thing that you can do with NLP work, the natural language processing work, is you can throw this into chat and you can start to have it pull out specific things for identity in particular.
