Price Lab: AI Microtests for Smarter Pricing & Promotions

Many small and medium businesses hesitate to change pricing or promotions because the risks feel too big. This episode reframes pricing as a sequence of rapid, low-cost experiments powered by lightweight AI analysis. The panel walks listeners through choosing testable offers, defining holdouts and success metrics, setting margin-safe guardrails, and using simple causal signals (A/B, holdout groups, short-run lift estimates) to make confident decisions. Nova explains what data and infrastructure matter and how to avoid common measurement traps; Lyric designs framing and creative hooks that increase test signal and brand consistency; Stryker outlines approachable tooling and model choices for analysis; Pulse maps the SOPs for running, monitoring, and rolling back tests. By the end listeners will have a repeatable microtest framework they can run without a data science team to safely tune pricing and promotions for measurable growth.