The Amazon PPC tools I paid for charged a percentage of my ad spend and bundled fifty features I didn't need. So I built my own — flat-priced, profit-first, and tested on my own seller account before anyone else touched it. The story behind RedHen Labs.
The month I decided to build this, my software bill had two lines that finally stopped making sense together. One was a few hundred dollars a month for an all-in-one suite I was mostly using for a single thing — setting up rules on my campaigns. The other was a percentage of my ad spend, layered on top. I was already overpaying for tools I didn't touch, and now the bill went up every time my ads did. I make wood-finishing oils under a small brand, Rowdy Rooster Woodworks. I'm a manufacturer, not a marketer. And sitting there doing the math on what I was paying to manage ads for a catalog of cutting board gels and furniture oils, it just didn't add up.
I'd been selling on Amazon for a couple of years by then, and I paid the ads learning tax in full — the wasted spend, the campaigns that looked fine and quietly lost money, the search term reports I didn't understand yet. But once I actually understood the platform, I realized most of what I needed was simple, and most of what I was paying for was built for someone else. I don't run DSP. I don't need fifty tools. I needed to see real profit after ads, set rules I trusted, and keep a lid on my bids. That was the whole list.
I tried what was out there — agencies, all-in-one suites, AI bidders, and engineering-focused platforms. Each solved part of the problem, but none matched how I actually ran my business. I didn't want to pay for fifty tools, hand over a percentage of my ad spend, or let a black box change bids without explanation. One agency even pitched me using Amazon listings that turned out to be fabricated, which I wrote about separately.
So I built an in-house tool to run ads for Rowdy Rooster. Every automation in it was tested on my own advertising account before it was ever offered to another seller. And the longer I used it, the clearer it got that the problems I'd solved for myself weren't special — every seller in my position, real product and real margins with no need for DSP or vanity dashboards, was fighting the same things and paying too much to do it. So I decided to make it something other operators could use, with two rules I set on day one.
The first was simple: no percentage of ad spend. If my campaigns became more profitable, my software bill shouldn't grow with them. The second was profit instead of vanity metrics — I wanted to know what a product actually earned after Amazon fees, freight, advertising, and manufacturing costs, not just whether ACoS looked acceptable.
The rest followed from how an operator actually works. The automation runs on rules I set, and the AI only bids up to what a click is genuinely worth — it's on a leash, not turned loose to win bidding wars on my dime. Software should automate the work, not the decisions, so every bid change and negative keyword is logged and reversible, and I stay in the chair. The scope stays narrow on purpose: ads, real profit, reviews, and inventory — the things a small seller actually touches, not fifty modules named after buzzwords.
What started as a company project turned into something my staff and I at Rowdy Rooster are genuinely proud of. We opened it up to other sellers as RedHen Labs, added a lower-priced review tier for people who want to automate review requests first, and kept sharpening the profit and automation tools underneath. I still use the software every day to manage the advertising for Rowdy Rooster Woodworks — the same account it was born on.
I didn't build RedHen Labs because I wanted another SaaS company. I built it because I wanted to stop paying for software that wasn't built for businesses like mine. If it solves the same problems for other Amazon sellers, then it's done exactly what I hoped it would.
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