Pricing is one of the fastest levers for growth, and also one of the scariest: raise it wrong and you lose customers; leave it alone and you leave money on the table. This episode teaches small and medium business owners a pragmatic, AI-assisted approach to pricing experiments—how to mine past orders for elastic signals, draft test variants that feel honest, simulate likely outcomes, and run safe A/B or cohort tests with clear guardrails. Lyric frames the emotional stakes with a story of two owners—one who feared price changes and stayed flat, another who ran three deliberate micro‑tests and found a simple package that increased revenue without churn. Nova defines the minimal data you actually need and how AI helps spot testable segments. Stryker shows tool-agnostic execution: experiment design, metrics tracking, and basic automation. Pulse closes with an operational sprint you can run in 30 days so teams adopt changes without chaos. Listeners leave with a repeatable method to learn faster from small pricing moves.