If you’re an 80s or 90s kid, you probably read the whiteboard behind me and imme
By Michael Erickson Facchin · July 6, 2026 · Curated by George's Blog
If you’re an 80s or 90s kid, you probably read the whiteboard behind me and immediately got Naughty by Nature stuck in your head.
(And yes, that is a selfie of me looking intensely serious about keyword architecture.)
Years ago, when we first started scaling Amazon brands, we realized that most sellers were treating Amazon PPC like a guessing game. They would launch an auto campaign, let it run forever, and wonder why their budget vanished with zero clarity on what actually drove the sales.
That’s why we formalized a framework that became a foundational DNA of Ad Badger and good Amazon PPC: 𝐓𝐡𝐞 𝐑𝐏𝐒𝐁 𝐌𝐞𝐭𝐡𝐨𝐝.
It’s not just a catchy acronym; it’s a systematic, repeatable loop designed to turn Amazon’s data into your unfair advantage:
𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡: Use Amazon’s Auto-campaigns as a discovery net. You pay Amazon a little bit of money to find out exactly what real human beings are typing into the search bar.
𝐏𝐞𝐞𝐥: You audit that data and "peel" out the absolute winners the high-converting search terms that actually make you money.
𝐒𝐭𝐢𝐜𝐤: You move those winning terms into a dedicated Manual Campaign, where you have 100% control over the bids and placement.
𝐁𝐥𝐨𝐜𝐤: You go back to the original Auto campaign and add those same terms as 𝐍𝐞𝐠𝐚𝐭𝐢𝐯𝐞 𝐄𝐱𝐚𝐜𝐭 𝐌𝐚𝐭𝐜𝐡𝐞𝐬. This is the secret sauce. It blocks the auto campaign from competing with your manual campaign, forcing it to look for 𝑛𝑒𝑤 keywords instead.**
Since I first talked about RPSB years and years ago way back in 2017-2018, the method has evolved. Amazon is very "feeling" based, and I'd say that just doing the first 3 letters RPS is now more commonplace. What generally happens, is I'll do ANOTHER optimization check: duplicated search term analysis. and then see if a search term has a high ACOS in one ad group, but low ACOS in another -> this way I can figure out if I should actually block it or not.
It creates a perfect, self-optimizing flywheel. Your auto campaigns stay focused on pure research, while your manual campaigns handle the scaling.
We built this exact logic into our automation software because good PPC shouldn't rely on a manager's mood or memory on a Tuesday morning, it should rely on a ruthless, unbreakable system.
If your keyword management feels chaotic, or if you're still letting auto campaigns eat up your budget without a migration strategy, give RPSB a shot.
So... are you down with RPSB? (or should I say...the optional "block" step 😆