Quadrupling a household brand's sales in five months — at ~14% TACoS

Spend had been held deliberately flat. Whoever ran the account couldn't tell safe-to-scale from unsafe, so the only safe choice was to never move — and flat spend meant flat sales while competitors took share.

But the headroom was right there: campaigns sat budget-capped even while running 3.6–7.8× ROAS — profitable demand left unspent. The real gap wasn't nerve, it was measurement. Nothing in the account could say how much incremental, still-profitable volume the next dollar would buy on each target.

Laurence models the conversion rate of every keyword and product target as a probability distribution, computes the incremental sales each additional dollar of bid buys, and prices each bid against the brand's margin to maximize profit — not ROAS.

That turned scaling from a nerve question into arithmetic: spend rose only where the math said the next dollar was still profitable, and held back everywhere else. And it re-ran every hour as the account grew — so each new layer of budget was underwritten against fresh data, never set once and forgotten. That's why the curve below keeps climbing instead of plateauing once the easy wins are gone.

Daily sales doubled inside the first week — from roughly $2,800 to $5,600 — at a TACoS that never breached 20%. That was the spark. The real story is what happened over the next five months.

Total store revenue compounded from about $3,200/day before launch to roughly $13,000/day, and held there — a 4× lift. Ad sales scaled 3.6×, and even as spend tripled to keep pace, TACoS never drifted: it sat near 14% the entire time. Total revenue grew faster than ad spend, because the budget bought rank and velocity rather than just clicks — so organic compounded alongside paid. That's the choppy-to-compounding arc on a real account, sustained long enough that it's plainly the system at work, not a lucky month.