Stop Scaling and Optimizing Your Amazon PPC at the Same Time
2026-08-21 · By Andreas K.
A common habit, sitting down to "work on PPC" and doing a bit of everything: raising a few bids that look promising, cutting a few that look weak, launching a new campaign, all in the same session. Every individual move might be reasonable. Doing them all at once is the actual mistake.
Why mixing directions breaks your own feedback loop
The problem isn't that any single action is wrong. It's that taking actions in opposite directions at the same time makes it impossible to know what caused whatever happens next to your total sales and profit. If revenue dips next week, was it the bids you cut, the new campaign still finding its feet, or something else entirely? You changed too many variables to answer that question with any confidence.
Three phases, one at a time
Mina Elias lays out a genuinely distinct framework for this, describing his own earlier mistake of optimizing and scaling simultaneously, before landing on a fix: pick exactly one goal at a time, and only take actions consistent with that goal.
Scaling: the goal is revenue growth, and some profit dip is expected. Raise bids on already-profitable targets in small increments, not big jumps. Raise budgets on campaigns that aren't spending their full daily allocation but are performing well. Launch new campaigns from search terms you've already found are converting. The right time to scale is when your ad spend is still low relative to the account overall. Optimizing a small spend yields trivial dollar gains; grow the spend first, then optimize the larger number later.
Optimizing: the goal is profit, and revenue may dip a little. Lower bids on underperformers. Add negative keywords before lowering bids, since sometimes a term needs to be excluded entirely, not just bid down. Pull back any placement multipliers that got pushed too aggressively during the scaling phase.
Plateau: hold ad spend deliberately steady for a stretch, up to two or three weeks. This is specifically so listing-side changes (images, title, A+ content) can be judged in isolation, without ad-spend changes muddying which change caused which result. Same underlying logic as the whole framework, applied to the listing itself.
This isn't a one-time sequence
Cycle through these three phases repeatedly as your account grows. A healthy account moves through scaling, optimizing, and plateau on an ongoing basis, not once and done. The discipline isn't picking the right phase forever, it's not blending two of them together in the same session.
Getting the underlying campaign structure right is what makes any of these three phases legible in the first place. The free campaign structure check is the place to start; the $16 plan turns it into a real bulk-upload file.
Frequently asked questions
How long should each phase last?
Long enough to see a real signal, not so long that you're sitting on a bad decision. Scaling and optimizing phases commonly run a few weeks; plateau is deliberately capped shorter, around two to three weeks, specifically so a listing change doesn't sit untested for too long.
What if I need to fix an obviously bad campaign while I'm in a scaling phase?
Cutting a clearly-losing keyword or campaign isn't really "optimizing" in the sense this framework warns against, it's basic housekeeping. The rule is about not blending broad, exploratory optimization moves into the same session as broad, exploratory scaling moves, not about freezing every decision until the phase changes.
Does this apply to a brand-new account too, or only established ones?
It applies from day one, though a brand-new account usually starts in a scaling posture by default, since there's nothing yet to optimize down. The discipline becomes more valuable once you have enough live data that optimizing and scaling both become real, tempting options at the same time.
How do I know which phase I'm actually in?
Ask what you're trying to prove right now. If it's "can this account handle more spend profitably," that's scaling. If it's "am I wasting money on underperformers," that's optimizing. If it's "did that new image actually help," that's plateau. Whichever question you're actually trying to answer names the phase.
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