Nick Perry shows how to feed customer data into NotebookLM to identify buyer archetypes, objections, and what separates buyers from non-buyers. Export the results to Claude and let it generate emails, SMS, and ads that actually convert instead of guessing from your own head.
You deserve to stay poor if you still write marketing from your own head because this AI will do it in half the time and knows your customers better than you do. Oh, and it's free. So first take every complaint, every sales call, every review, every support message, and dump all of it into this AI. Then ask it who the different archetypes of buyers are in your business. After that, ask NotebookLM what objections show up ranked from most common to least common. Then ask it what the patterns are between the people who buy and the ones who don't, like their presuppositions, IQ, and personality. And finally, ask it to rank the archetypes from the type who buys the most the ones who buy the least. Now export all that data to a Claude project, and now you have a machine that can write high-converting emails, SMS, and ads that will you make more money today.
