Nathan Miller explains why advertisers keep failing at scale: they launch ads and start over without learning from what went wrong. He outlines a four-step feedback loop: document your hypothesis, run the ad for a set period, record the results, then use those insights for the next ad. Repeat it and you stop making the same mistakes.
Monkey been making ads but can't scale. Monkey does research, makes ads, uploads ad, and then starts over again. Monkey doesn't realize he's doing something very wrong. Monkey not learning from mistake. Monkey not getting better. Monkey stuck in a trap. So monkey makes system. Now monkey does research. Monkey make ad. Monkey writes down why he make ad, who he's making ad for, why he thinks ad will work. Then monkey tests ad. Monkey waits a week. Monkey lets ad perform. But instead of making new ad if it not perform, Monkey write down what happened. Monkey write down what he think went wrong. Monkey take note of bad metric. Monkey uses process over and over to make better ads and to make a happier monkey.
