Note: All business and company names in our case studies are anonymized for client privacy. All metrics, timelines, and operational details are real and independently verifiable on request.
The starting point
An established industrial-pneumatics manufacturer — a well-known name in distribution and pro channels — wanted to professionalize its Amazon presence. The catalog was complete but unloved, with thin content, no advertising structure, and no understanding of who was actually buying on Amazon.
The brand had decades of credibility in its real channels and treated Amazon as an afterthought — a place where the catalog existed but nobody owned it. That’s typical for a manufacturer whose business was built on distributor relationships; the marketplace is somebody else’s problem until it isn’t.
The diagnosis
The Amazon buyer for industrial pneumatics isn’t a procurement officer. It’s a small contractor, an MRO buyer, or a home-shop hobbyist replacing a part. That buyer searches specifically and converts quickly when they find the right SKU. They already know what they need; they’re not browsing, they’re hunting for a part number or a spec.
The brand was failing at “findable” — broad category searches didn’t surface the right SKU, and the catalog wasn’t built to be navigated by an in-a-hurry buyer. Everything was organized around the manufacturer’s internal product hierarchy, which is exactly the wrong frame for a marketplace where the buyer doesn’t know or care how the catalog is structured internally.
The playbook
SKU-level keyword architecture. We built ad groups at the SKU level, not the family level, so a search for a specific fitting drove that specific fitting’s listing. Family-level campaigns are the lazy default, and they fail this buyer — if someone searches for an exact fitting and lands on a family page, you’ve added a step to a purchase that should have been one click.
Catalog rebuild on key SKUs. Title format standardized for industrial buyers (spec-first), images updated with spec callouts, A+ comparison charts inside the family. An industrial buyer reads a title like a spec sheet; lead with the spec, not the marketing.
Bid discipline on broad terms. The category has long-tail rabbit holes. We capped broad-match spend and let exact-match do the work. Broad match in a technical category is a budget leak — it buys clicks from people who typed something adjacent and meant something else entirely.
B2B-friendly merchandising. Quantity discounts, business pricing, and accurate lead-time messaging to support the small-contractor buyer. The contractor buying a case of fittings behaves differently from the hobbyist buying one, and the merchandising has to speak to both without confusing either.
The result
Steady 5.90x ROAS on $3.7K/month of ad spend — $22K in monthly revenue — with the catalog now organized for the actual Amazon buyer rather than the distribution-channel buyer. The brand has a profitable, growing channel that respects its category economics.
What worked
Recognizing that “industrial” doesn’t mean “boring.” It means precise. We built every campaign around the buyer’s actual search behavior, not the brand’s internal product hierarchy.
The reframe that made it work was treating findability as the whole game. In a category where the buyer already knows what they want and converts fast, you don’t need to persuade them — you just need to be the listing they land on. Get the architecture right and the conversion is already in the bag.
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“Our Amazon channel finally feels like an asset, not a side project. ClearSight gets B2B-adjacent categories.”