Built by a seller who lost money first

In 2019, I launched my first Amazon product — a premium kitchen gadget I was convinced would sell. I spent $12,000 on inventory, $3,000 on photography and listing optimization, and another $2,500 on PPC in the first month.

Six months later, I had $4,200 in unsold inventory sitting in FBA, a negative ROI, and a hard lesson learned. The product wasn't bad — the economics were. I entered a category with brutal PPC costs, entrenched competitors with thousands of reviews, and margins that couldn't survive the ad spend required to rank.

I didn't quit. I spent the next three years studying Amazon economics obsessively — analyzing hundreds of products, building spreadsheets, learning PPC inside out, and talking to every successful seller I could find.

I found a pattern. The sellers who consistently won weren't the ones with the best products. They were the ones who validated the economics first. They knew their break-even ACoS before they placed their first order. They understood competitive moats. They could spot a money pit from the listing data alone.

I built SellerMentor to be the advisor I wish I'd had before that first $12,000 mistake. It's not a keyword tool. It's not a product research tool. It's an economics-first decision engine that gives you an expert GO or NO-GO verdict before you commit capital.

Every analysis reads like a consultant memo — because that's exactly what it is. The kind of advice that used to cost $500/hour, now available for every product idea you have.

I'm not here to hype you up or sell you dreams. I'm here to tell you the truth about your product idea — even when the truth is uncomfortable.

That's the whole point.