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Podcast Episode 100

Pricecraft: AI-Powered Pricing & Packaging for SMBs

April 21, 20269 min

Many SMBs underprice, overcomplicate offers, or guess at promotions—leaving revenue on the table. This episode shows how to build a compact, actionable AI pricing and packaging engine that fits tight budgets and limited data. The panel walks through the data signals you already have (sales, margins, customer segments), how to convert them into predictive pricing tests, and the creative messaging needed to sell new bundles. Nova maps the minimal data architecture required; Stryker outlines lightweight model and experiment designs you can run without a data science team; Lyric explains framing and messaging that keeps pricing transparent and brand-aligned; Pulse covers rollout, guardrails, and SOPs to protect margins. Listeners leave with a repeatable experiment template, three quick wins to test in the next 30 days, and clear next steps to turn small price moves into measurable revenue.

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Show notes & resources

This episode includes a startup-ready operating system: signal definitions, implementation sequence, and a lightweight pilot plan that can be tested in under 30 days.

  • - Reporting dashboard template aligned to Pricecraft: AI-Powered Pricing & Packaging for SMBs
  • - Pilot KPI tracker (roles, milestones, and owner accountability)
  • - Implementation checklist for week 1 and week 2
  • - Follow-up prompts for Lyric, Nova, Stryker, and Pulse

Next steps