Marketing Simulation Engine

A causal digital twin platform that predicts the outcome of marketing campaigns before you spend money. Marketers input their campaign parameters and get instant ROI forecasts and optimization suggestions. Saves budget and improves decision-making.

Privacy-driven signal loss — GDPR enforcement, third-party cookie deprecation, and iOS attribution changes — has left marketing teams flying blind on spend decisions, making predictive modeling tools genuinely useful rather than merely nice-to-have. No clear incumbent owns the "pre-spend simulation" layer specifically; Rockerbox and Northbeam handle post-hoc attribution, and MMM vendors like Recast serve enterprise budgets, leaving a real gap for something faster and more accessible. The $5k–50k/mo band is plausible if the buyer is a growth or performance marketing lead at a funded startup or mid-market brand with six- or seven-figure ad budgets, where a single prevented misallocation justifies the subscription easily. The biggest risk is model credibility: if early predictions are off by a meaningful margin, trust collapses immediately, and building causal models that are accurate enough across diverse industries, channels, and data-sparse customers is an extremely hard technical problem that will consume most of the runway before product-market fit is confirmed.