An established UK supplements brand has launched plenty of multi-market winners. This creatine ASIN wasn't one of them — and that was the puzzle. Across a leading automation platform and a skilled operator at sub-5% blended TACOS, nothing obvious explained the drag; manual digging kept coming up empty. So they ran a structured post-launch review through a different lens — reading the search-query and ads data together. It surfaced two things.
Plenty of multi-market launches behind them. Best-in-class automation. A skilled PPC operator. And still this one wouldn't click — with nothing obvious, by eye, to explain why. That's exactly the moment a different lens earns its keep: not because anyone got it wrong, but because some signals only show up when you read search-query and ads data together.
Roughly 1 in 3 Spanish creatine searches (~300K+ a month) specifically ask for "Creapure" — a premium-ingredient certification. This ASIN isn't Creapure-certified, so shoppers click the ad, find no badge, and leave.
Creatine's category positioning — and almost all of the ad creative chasing it — assumes a young male gym-goer. The search data disagrees. Women's-health creatine terms convert strongly with almost no competition. In Germany, "kreatin für frauen ab 40" (creatine for women over 40) draws around 1,605 searches a month at near-zero competition; the UK mirrors it. The account is efficiently buying the wrong audience.
Underlying discipline (the obvious part): read each market on its own — the same SKU converts at 42% in the UK, 11% in Spain. Common sense — but only worth anything once the signal above tells you where to look.
This changes nothing about your day-to-day — your team and your tools run the ads well, and we're not here to replace them. Think of us as a third eye: a different lens on the same data, pointed at a launch when the numbers feel off and nothing obvious explains it. The value is the surprise — what a fresh review digs out that no one was positioned to see.
Just launched, or live and plateaued? We'll run the post-launch review and tell you whether to scale, fix, or pivot.
Request a review →Method proprietary — this page describes what we surface, not how. Figures from a real cross-market audit of this brand's own data, anonymised; run on a prospect's ASINs, the numbers are theirs.