simulate

Run Monte Carlo simulations (default 10,000 iterations via revenue-simulator.py) of marketing scenarios — channel-mix shifts, budget reallocations, new-channel launches — reporting expected/P10/P50/P90 revenue, probability of hitting a stated target, risk-adjusted scenario ranking, and tornado-chart sensitivity analysis. Models outcomes only — commits no budget and changes no campaigns. Triggers on "/digital-marketing-pro:simulate", "what if we shift 30% of paid budget to TikTok", "simulate next quarter's revenue", "what's the probability we hit the target", "compare these budget scenarios". Reads the brand's historical performance plus industry-profile and channel-family benchmarks to calibrate ROI distributions.