How I used AI to find a $4 Lead (And What Actually Mattered)
I don’t use AI for motivation. I use it to move faster. Last week we refreshed ads for our brick-and-mortar youth sports training facility. Instead of sitting there “brainstorming angles,” I did this: Fed AI deeper context about our offer Uploaded screenshots of our funnel Uploaded screenshots of the actual program Gave it constraints (who it’s for, what outcome, survey feed back from parents) Asked for multiple emotional hook variations Then I filmed and launched. No debating. No perfecting. No overthinking. Just structured testing. From Feb 13 – Feb 16 (3 days): 37 website leads $2.58 CPL (cost per lead) on one ad set $3.81 CPL on another ~$114 spent per ad set Same targeting. Same budget. The only thing that changed: The hook and emotional framing. What Actually Made It Work It wasn’t production quality. It wasn’t editing. It wasn’t targeting tweaks. It was emotional positioning. The ads that won: Spoke directly to parent identity Highlighted fear (falling behind, lack of confidence, clumsy movement) Painted the outcome emotionally (“they move differently,” “they run with confidence”) We didn’t sell drills. We didn’t sell workouts. We sold transformation in identity. Features didn’t move the needle. Emotion did. If you’re new to this: A hook is simply the first emotional idea that makes someone feel seen. That’s what changed performance. Why AI Helped (And Why Most People Use It Wrong) AI didn’t magically write a winner. Context did. The better I fed it: Funnel screenshots Offer structure Customer journey steps Real objections we hear Clear constraints The better the output. AI without context = generic garbage. AI with context = leverage. If you’re getting mid results, it’s usually because your inputs are shallow. The Part Most People Miss Finding a winning ad is not the win. Extracting it is. Now that we know this emotional hook works, we are: Turning it into organic reels Breaking it into carousels Recording new paid variations