Spend Scenario Solver

Backed by the real fitted marketing-mix model for the paid channel (Meta) and same-form substituted curves for two channels with too little spend history to calibrate reliably (Google, TikTok). Baseline spend/revenue figures shown are synthetic.

The underlying model persists posterior point estimates only, not full credible intervals — the figures below are the model's best estimate, not a confidence band.

The tool shows one scenario, maximising ROAS. The same model can minimise spend, fix an item's price, or add constraints such as a cap of 50 units a day.

What the model found

At the current daily spend — $97 on Meta, $71 on Google, $101 on TikTok, $269 total — the model projects $1,895/day in revenue. Reallocating that same $269 entirely to Meta, the only channel with enough spend history to calibrate reliably, lifts projected revenue to $1,980/day: a 4.5% uplift, because at this budget every channel is still on the cheap, near-linear part of its response curve. The efficient frontier bends hard around $5,500–$7,000/day of total spend — past that, extra spend buys sharply diminishing revenue.