One account, eight jobs.
A campaign asked to do two jobs at once cannot be optimised for either. Here is the eight-job framework our budget planner is built on, what happens when they get mixed, and how to find out which of your campaigns is quietly doing three of them.
· Advertising
There is a particular kind of Amazon advertising account that resists every fix. Bids come down and sales come down with them. Bids go up and ACOS goes up faster. Negatives get added, and a month later the spend has simply moved somewhere else. Every individual decision looks reasonable and the account does not improve.
Almost always, that account has campaigns doing more than one job. And a campaign doing two jobs cannot be optimised for either, because the two jobs disagree about what a good outcome looks like.
Why mixing jobs breaks optimisation
Consider a single campaign that contains your brand name in exact match and a set of broad keywords aimed at people who have never heard of you. Both are legitimate things to spend money on. They have nothing else in common.
The brand terms will convert at a rate no other traffic reaches, because the person typing your name has already decided. They will show an advertising cost of sale in single digits. The broad discovery terms will convert far less often, cost more per order, and show an ACOS three or four times higher — and that is them working correctly, because their job is to find people, not to close them.
Put both in one campaign and you have one budget, one bidding strategy and one number to judge them by. The blended ACOS describes neither. If you optimise toward it, you either strangle the discovery that feeds the account or you overpay for brand terms you were going to win anyway. There is no bid that is correct for both, which is why no amount of bid work fixes this.
The eight jobs
Our budget planner splits advertising into eight objectives rather than three ad types, because ad type is a delivery mechanism and objective is a decision. A ranking push runs on Sponsored Products exact, Sponsored Brands exact and Sponsored Brands Video simultaneously — asking "what share should go to Sponsored Brands?" has no strategic answer, while asking "what share should go to ranking?" does.
| Objective | What it is for | Expected efficiency |
|---|---|---|
| Exact performance | Scale terms that have already proven they convert | Best in the account |
| Ranking | Buy velocity on terms you want to rank organically for | Deliberately poor, for a fixed period |
| Broad and phrase expansion | Test variations of what already works | Middling, and that is correct |
| Auto discovery | Find queries you would never have guessed | Worst, and worth it |
| Brand defence | Stop competitors intercepting your own name | Flattering — do not use it as a benchmark |
| Competitor conquesting | Appear on competitor listings | Poor, judged on new customers not ACOS |
| SD retargeting | Recapture people who already viewed | Good, on a small audience |
| Brand awareness | Reach, not conversion | Not judged on ACOS at all |
The important column is the third one. Four of these eight should never be judged against your target ACOS, and two of them look better than they are. An account-wide efficiency target applied across all eight will kill discovery, protect brand defence that needed no protecting, and tell you nothing about ranking.
The second symptom: budget in the wrong tier
Once campaigns have one job each, a second question becomes answerable that was not before: how is the money split across the jobs?
This is where a lot of accounts turn out to be upside down. Discovery is cheap to start and easy to leave running, so it accumulates. Exact performance campaigns — the ones actually converting — hit their daily cap by mid-morning and stop. Nobody decided this; it is simply where the account drifted over eighteen months of small changes.
Two failure modes show up in the campaign report, they are opposites, and they are routinely confused:
- A campaign spending its full daily budget every day is constrained by budget. If it is also under break-even, it is the cheapest growth available to you and it is being throttled.
- A campaign spending a third of its budget is constrained by bid or by targeting. Raising its budget will change nothing at all, and the fact that this is the most common response to a campaign underperforming is why so many accounts have large budgets and small spend.
Both look identical in a spend column sorted high to low. Only spend read against the daily cap separates them, which is what the Budget Allocation Audit does across the whole account at once.
The third symptom: your campaigns bidding against each other
The last one is the quietest, because it produces no bad number anywhere. Nothing looks broken. You are simply paying more than you need to.
It happens when the same search query can be matched by more than one of your own campaigns — a broad keyword in a discovery campaign and the same term sitting in exact match in a performance campaign. Amazon does not run both; it picks one. But the auction it picks has one fewer competitor than you think, and the price you pay reflects a bid you set for a different purpose.
The usual cause is harvesting done halfway. A term is found in an auto campaign, promoted to exact match — and never negated in the campaign that found it. The promotion was the interesting half of the job, so the negation gets skipped, and now two of your campaigns want the same query.
Working out which of the three you have
All three are visible in reports you can export this afternoon, and none of them needs a tool to see — though a tool makes it take ten minutes instead of an afternoon.
- Mixed objectives: open a campaign and read its keyword list. If brand terms and discovery terms share it, that is the problem, and no bid change will fix it.
- Budget in the wrong tier: pull the campaign report and put spend next to daily budget. Anything at 95% or more of cap is throttled; anything under 40% has a bid problem being treated as a budget problem.
- Self-competition: pull the search term report and look for the same customer search term appearing under two different campaigns. Every instance is a term you are bidding against yourself on.
Fix structure before you touch bids
The order matters more than the individual actions. Bid changes made on top of a broken structure produce noise: the number moves, you cannot attribute the move to the change, and the account is no easier to reason about than before.
Separate the jobs first, even roughly. Negate the terms you are competing with yourself on. Then look at where budget sits against caps. Only after that does a bid change tell you something, because only then does the campaign it applies to have a single definition of success.
None of this is fast. A structural separation on a real account takes weeks, not an afternoon, and it should be done alongside the existing campaigns rather than instead of them — cut everything over at once and you have no way to tell whether the new structure is working or whether you simply broke something.
But it is the work that makes every subsequent decision cheaper. An account where each campaign has one job is an account where a bad number tells you what to do about it.
See which tier your budget actually sits in.
The Budget Allocation Audit reads your campaign export and totals spend by objective rather than by campaign, then flags what is capped and what never spends. Upload the file you already have — it parses in your browser and never reaches us.
Frequently asked questions.
How many campaigns should an Amazon account have?
Enough that each has one job, which for a single hero product usually means somewhere between four and eight. The number matters far less than the rule behind it: if you cannot say in one sentence what a campaign is for, it is doing more than one thing and its performance figure is an average of objectives that disagree. Sprawl is a real cost too — a hundred campaigns nobody can hold in their head is its own kind of broken.
Should I separate campaigns by match type or by objective?
By objective, with match type as a consequence rather than the organising principle. Match type is a targeting mechanism; objective is a decision about what you are buying. A ranking campaign and a performance campaign might both run on exact match and still need separating, because one is buying velocity at a deliberately poor ACOS and the other is buying profit.
What ACOS should each campaign type target?
Relative to your break-even ACOS, never absolute. Break-even ACOS is your contribution margin, so if 39% of the selling price is left after product cost, fees and shipping, then performance campaigns should sit comfortably under that and discovery campaigns can run closer to it. Ranking campaigns exceed it on purpose for a fixed period. Any published benchmark is describing somebody else's margin.
How do I know if my campaigns are competing with each other?
Pull the search term report and look for the same customer search term appearing under two different campaigns. That is direct evidence. The most common cause is harvesting a term into exact match without negating it in the campaign that discovered it, so the auto or broad campaign keeps matching the same query and you end up paying the higher of your two bids for traffic you were already winning.
- Where Amazon ad spend actually goes
The search-term level view: which queries took money and returned nothing, and the one word leaking across forty of them.
- Amazon PPC optimization and audit
Every advertising module we build, and which report each one reads.
- The Sponsored Products Campaign Report
Where to find spend against daily budget — the column that separates a budget problem from a bid problem.

