How can I sell to or convince my ideal customer profile when I lack deep industry understanding?
Use AI to explain the typical operations of a small‑to‑mid‑size business in the target industry. Ask the model to walk you through the full customer journey—how they find the business, what documentation they exchange, which platforms they use at each stage, and what their common needs are. This gives you roughly 80 % of the knowledge needed to speak confidently on a call. Once you’re in the conversation, ask targeted follow‑up questions about pricing, packages, or specific pain points to deepen your understanding and tailor your pitch.
Your job is not to sell at this stage; your job is to learn everything you can about how the prospect is running their business. Approaching the call from a learning perspective rather than a sales perspective actually increases the probability of selling. Many people rush to sell too early and miss that building rapport and perceived authority is the best way to sell. You can build rapport by paraphrasing what the customer says in slightly different words, showing you understand them. Approach the call with curiosity and ask questions; genuine curiosity increases the chance of closing a deal. Set expectations at the start: let them know you're just there to learn about their business and that a firm decision isn't required by the end of the call unless they want it. Your goal is to see if you can help them, and ask a couple of quick questions to verify that. Now, to frame the conversation, ask what made them respond to your outreach, what they're looking for, where they're coming from and where they're going—think of it like a doctor diagnosing.
My reply depends on the exact product I’m selling, but a reliable template is to give a broad price range that starts low and ends high, then explain that I need a bit more detail or scoping to give a precise number and invite them onto a call. At the same time I satisfy their surface‑level request for technical info with a high‑level overview—for example, I describe how I built an AI that autonomously scrapes job postings from LinkedIn, Indeed, and similar sites, then looks them up and creates a profile used to personalize the email, noting that this is the very system that got them to respond to my message. I like to show rather than just tell, and I often point out that being on the call already proves the system works in some fashion; I can frame it as queuing up opportunities and letting them take shots at the net, which makes the value easy to grasp.
I start with a high‑level outline of what people need to produce economically valuable outcomes with the tool. I don’t dive deep into JSON, APIs, expressions, or functions—most of that isn’t used when building for clients. From first principles I ask what I actually need to deliver that makes people money; you barely need to know acronyms like HTTPS, HTML, CSS, or deep JavaScript. The outline becomes a simple high‑level view of the essentials that let people make money with the tool. If learners want to go deeper (they love “circle jerking” the tech), I point them to resources but don’t teach it myself. For the recent Claude Code marketing course I reviewed all marketing system deals signed over the last ~4.5 years, listed the systems, identified the bare‑bones knowledge needed to build them, ignored sub‑agents and complex permissions, and taught the 80/20 core, then pointed to other resources if needed.
To be the best in your niche, you need to provide far more input than seems reasonable—far more outreach, practice, and reps than you think necessary. Think of elite athletes who train before dawn: they maximize reps by talking to many people, maximizing opportunity. In my early business days, I knocked on 50–80 doors daily, every day, 25–30 days a month with a partner, simply to familiarize myself with the sales interaction—the 'ball.' You must frontload value and volume before people even wake up. My channel exemplifies this: I answer more customer questions in a week than most do, doing it each morning. This approach grounds you in what people truly want and their problems, letting you solve them better—like striving to be as effective as LeBron James in your field.