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The interesting shift is from forecasting one outcome to pricing for uncertainty. A single revenue model can tell you what happens under one set of assumptions; Monte Carlo shows how often those assumptions actually work. That makes pricing decisions much more grounded in the range of outcomes, not just the average.

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