pricing-test

Estimate willingness-to-pay by testing 3-8 candidate price points against synthetic audience panels grounded in CRM purchase data (audience-simulator.py), Van Westendorp / Gabor-Granger style. Produces per-segment sensitivity curves, an optimal price, the acceptable price range, revenue- vs volume-maximizing prices, competitive positioning, and tiering recommendations — always with explicit confidence limits. Triggers on "/digital-marketing-pro:pricing-test", "what should we charge for this", "test these price points", "is our pricing too high", "should we introduce pricing tiers". Reads the brand profile for positioning and market context; results are directional simulations that require real-world validation, not live market tests.