Use cases
Wherever Amazon advertising costs you time or margin.
Each of these is a job rather than a feature. They're the things teams actually hire an Amazon PPC platform to do — and each one is easier when the likely outcome is modelled before the money moves.
Reduce Advertising Waste
Reducing Amazon advertising waste means identifying the search terms, placements, and products whose predicted return does not justify their spend — and stopping them before the budget is consumed, rather than reporting on them afterwards.
Read more →Why it's hard
Waste doesn't arrive as one big mistake. It accumulates quietly across hundreds of search terms and placements, each too small to notice on its own, and shows up only as a disappointing month.
The approach
Find it where it hides
Continuous search-term, placement, and product-level review rather than a periodic sweep when someone has time.
Judge it on profit
A term isn't wasteful because it's expensive; it's wasteful when its predicted contribution doesn't cover what it costs.
Stop it before it spends
Negations and bid reductions applied — or proposed with their predicted saving — while the budget is still there to save.
Improve TACOS
Improving TACOS (Total Advertising Cost of Sale) means reducing advertising spend as a proportion of total revenue — which requires growing organic and total sales, not simply cutting ad budget until the ratio looks better.
Read more →Why it's hard
TACOS is trivially easy to improve on paper: spend less. It's also the fastest way to starve the ranking and momentum that produce organic sales in the first place.
The approach
Separate the two levers
TACOS falls when ad spend drops or when total revenue rises. Only one of those is worth having.
Protect what compounds
Identify the spend that drives ranking and repeat purchase, and stop treating it like the spend that doesn't.
Cut what doesn't compound
Reduce spend that produces neither profitable orders nor organic momentum.
Scale Profitable Revenue
Scaling profitable revenue on Amazon means increasing spend specifically where predicted contribution profit supports it, rather than raising budgets across the account and hoping the average holds.
Read more →Why it's hard
Scaling by raising every budget works right up until it doesn't. The average hides the fact that some campaigns had headroom and others were already at their limit.
The approach
Find the headroom
Identify campaigns and targets where additional spend is predicted to convert profitably.
Fund it from the right place
Reallocate from spend that has stopped earning, before asking for more budget.
Grow in controlled steps
Increase, measure the realised result against the prediction, and adjust.
Automate PPC Operations
Automating Amazon PPC operations means delegating bid changes, negations, budget moves, and placement adjustments to controlled AI workflows that run inside defined guardrails and log every action.
Read more →Why it's hard
The repetitive work is exactly what gets skipped when the week is busy — and it's exactly the work where consistency matters most.
The approach
Choose your autonomy level
From recommendation-only to full automation, set per account and per action type.
Define the limits
Spend ceilings, ACOS thresholds, margin floors, and campaigns that are off-limits.
Let it run, and check the record
Every action is logged with the prediction that justified it, and is reversible.
Launch New Products
Launching a product on Amazon requires spending ahead of profitability to build ranking and review velocity — which means budgets tuned for the launch phase and guardrails that prevent that spend running away.
Read more →Why it's hard
Launch is the one time a high ACOS is rational, which is exactly why it's the easiest time to lose control of it. Rules built for mature products fight the launch; no rules at all lets it run.
The approach
Set launch-phase expectations
Accept an ACOS that steady-state rules would reject, deliberately and with a limit.
Buy the right visibility
Concentrate spend on terms that build relevant ranking, not on volume for its own sake.
Transition on evidence
Move toward profitability targets as ranking and conversion data actually arrive.
Protect Campaign Budgets
Protecting Amazon campaign budgets means predicting end-of-day spend from intraday pacing and acting on overspend risk before the budget is consumed, rather than discovering it in the next day's report.
Read more →Why it's hard
By the time a daily report shows a campaign spent 240% of plan, the money is gone. Overspend is only a solvable problem while it's still happening.
The approach
Predict the day, not report it
Project end-of-day spend from pacing as the day runs.
Raise it early, with the number
Alert while there's budget left, with the predicted overspend attached.
Set a ceiling that can't be crossed
Hard limits that automation is not permitted to exceed, whatever it predicts.
Discover Growth Opportunities
Discovering Amazon growth opportunities means systematically surfacing unserved profitable demand — keywords with headroom, budget-capped winners, and competitor movement — rather than waiting for them to be noticed.
Read more →Why it's hard
Opportunities don't raise alerts. A keyword you've never bid on generates no report line, and a budget-capped winner just looks like a campaign hitting its budget.
The approach
Look for absence, not just anomalies
The most valuable gaps are things that aren't happening yet.
Size it before chasing it
Predict the profit impact so opportunities can be ranked rather than merely listed.
Surface it with an action
An opportunity without a proposed next step is just trivia.
Manage Multiple Accounts
Managing multiple Amazon accounts means applying one consistent, margin-aware decision standard across every brand, account, and marketplace, with per-account guardrails and a portfolio view of what needs attention.
Read more →Why it's hard
Managing ten accounts isn't ten times one account. It's the same review work multiplied, with quality determined by whichever account happened to get attention this week.
The approach
One standard, many accounts
The same evaluation logic everywhere, so differences reflect markets rather than configuration.
Guardrails per account
Each brand's margins, limits, and risk appetite respected individually.
Attention by exception
A portfolio view that surfaces the accounts that need you, instead of a rota.
FAQ
Common questions
- How do I reduce wasted Amazon ad spend?
- Review search terms, placements, and products continuously rather than periodically; judge each on predicted contribution to profit rather than on ACOS alone; and apply negations and bid reductions before the budget is spent. SellZyme does this automatically and shows the predicted saving for each action.
- What counts as wasted Amazon ad spend?
- Spend whose predicted return doesn't justify its cost — most commonly search terms with no conversion history, placements paying premium prices for poor conversion, and products whose margin cannot support advertising at any realistic ACOS.
- What is TACOS in Amazon advertising?
- TACOS (Total Advertising Cost of Sale) is total advertising spend divided by total sales revenue — both organic and ad-attributed. Unlike ACOS, which only measures ad-attributed sales, TACOS shows what advertising costs relative to the whole business.
- How do I improve TACOS without slowing growth?
- Distinguish spend that drives organic ranking and repeat purchase from spend that produces neither, and cut only the latter. Cutting budget indiscriminately improves the TACOS ratio while starving the momentum that generates organic sales — which raises TACOS again later.
- What is a good TACOS?
- It depends on margin, category, and stage — a launching product may accept a high TACOS to buy ranking, while a mature product should expect a low one. There is no single correct figure; the useful question is whether TACOS is trending in the right direction while total revenue grows.
- How do I scale Amazon PPC profitably?
- Increase spend only where predicted contribution profit supports it — typically budget-capped campaigns still converting well at the cap, and keywords with strong conversion but limited impression share. Fund the increase by reallocating from spend that has stopped earning, and grow in steps you measure.
- What Amazon PPC tasks can be automated safely?
- Bid adjustments, negative keywords, budget reallocation, and placement multipliers can all be automated safely provided each action is checked against guardrails, predicted before it runs, logged with its reasoning, and reversible. Higher-impact structural changes are usually better left as recommendations.
- How much should I spend launching a product on Amazon?
- Enough to build ranking and review velocity on relevant terms, with an explicit ceiling. Launch is a phase where a high ACOS is rational, so the control that matters is a hard limit plus evidence that ranking is actually progressing — not a steady-state ACOS target that fights the launch.
- How do I stop Amazon campaigns from overspending?
- Predict end-of-day spend from intraday pacing and act while budget remains, rather than reviewing spend the next day. Combine that with hard daily ceilings that automation cannot cross, so a prediction error can't become an expensive one.
- How do I find Amazon PPC growth opportunities?
- Look systematically for unserved demand — converting search terms that were never promoted to their own targeting, budget-capped campaigns still profitable at the cap, and competitor movement opening space — then size each by predicted profit impact so they can be ranked rather than just listed.
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