Episode Details

Marcus guides nomads through a focused, 9-minute AI Pricing Audit you can run this week. I explain a lean, ethical stack (ChatGPT/GPT-4, Google Sheets or Airtable, Zapier/Make, Stripe/QuickBooks) and show exact prompts and steps to extract pricing signal from messy historical data. Example prompt you can paste: "Analyze these 24 invoices and identify three repeatable deliverables with the highest margin and their ideal price anchor range; flag offers that caused scope creep." You’ll get step-by-step actions: export invoices, map fields, run prompt-driven analysis, produce 3 new tiered packages, craft two negotiation scripts (raise vs. retain), and a simple A/B rollout plan to test price increases safely. Sofia’s ethical checks are embedded: client privacy, transparency, and avoiding value inflation. I cover how this creates higher, visa‑qualifying income, saves negotiation hours, common pitfalls (data bias, pushback), mitigations, an immediate action step, and a course CTA with an Airtable template and prebuilt prompts.