Metadata Lab: 5-Step Split-Testing Playbook to Unlock Amazon Discoverability

Too many authors treat metadata as a one-time chore. This episode flips that assumption: metadata is an ongoing experiment that can materially increase sales and findability without expensive ads. In five clear steps you’ll learn how to design single-variable split-tests on Amazon and off-platform, interpret the signals that actually matter (click-through, add-to-cart, purchases, read-through), and prioritize which tests move the revenue needle fastest. I’ll walk through a concise case study of a nonfiction author who doubled organic traffic by swapping subtitle positioning and moving to a niche category, and give a concrete 15-minute action you can do today to start collecting data. Practical, feasible for an 8-minute runtime, and built to fit the 22 Lions playbook for AI-assisted publishing, KDP optimization, and scalable author businesses.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-22-lions-podcast-ai-self-publishing-book-empire-secrets--7016918/support.