An Amazon PPC audit is a structured check of whether your ad spend is making money, where it is leaking, and what it is missing. You compare each product's ACoS (advertising cost of sale) with its break-even point, watch the TACoS (total advertising cost of sale) trend, then work through search terms, targeting, bids, placements, campaign structure and budgets in that order. The last step, and the one most audits skip, is checking whether the real problem is the product page rather than the ads.
This guide walks through that process for Sponsored Products, with shorter notes on Sponsored Brands and Sponsored Display. Every step has a formula, a worked example with numbers, and the Ads console or Seller Central path you need.
Key takeaways
- Set your break-even and target ACoS before you open a single report. Without them, "good" and "bad" have no meaning.
- Judge the account on TACoS trend and organic sales, not ACoS alone. ACoS can hold steady while organic sales fall.
- Most recoverable money sits in three places: search terms with clicks and no sales, bids that ignore conversion rate, and placements that cost more than they return.
- Leave out the most recent days. Seller Sponsored Products sales are credited up to 7 days after a click, and Sponsored Brands and Sponsored Display up to 14 days.
- Fix product problems (price, reviews, stock, listing) before you cut bids. Ads amplify a product; they cannot repair it.
1. What an audit should answer
An audit is a set of questions; the changes follow from the answers. Write these four at the top of your notes:
- Is advertising profitable, product by product? Not the account average. Each product.
- Where is money leaking? Search terms, targets and placements that spend without returning enough sales.
- Where is money missing? Converting search terms you are not bidding on directly, profitable campaigns that run out of budget, and placements where you are underbidding.
- Is this actually an advertising problem? A drop in conversion rate, a lost Buy Box or a stock-out looks like "PPC stopped working" in the ads data.
Work through the sections in order. There is no point fine-tuning placements on a campaign whose search terms are half irrelevant, or raising budgets before removing waste.
InsightAudit the product, not the account average
A blended account ACoS of 25% can hide one product at 12% and another at 60%. Big catalogs make this worse, because a few best-sellers dominate the totals. Run the health checks below per product (or per parent product for variations), then sort by ad spend so you review the biggest spenders first.
2. Prepare: the data you need before you start
The reports to pull
You need data from two places: the Amazon Ads console, which knows about ad clicks, and Seller Central, which knows about all sales and traffic.
| Report | Where to find it | What it answers |
|---|---|---|
| Search term report | Ads console: Measurement & Reporting > Sponsored ads reports > Create report > Sponsored Products > Search term | Which shopper searches and ASINs spend money, and which convert |
| Targeting report | Same path, report type Targeting | How each keyword and product target performs, for bid decisions |
| Placement report | Same path, report type Placement | Top of search vs rest of search vs product pages (and off-Amazon, where shown) |
| Advertised product report | Same path, report type Advertised product | Spend and sales per advertised ASIN |
| Purchased product report | Same path, report type Purchased product | Sales of products other than the one in the ad |
| Search term impression share | Same report centre, Sponsored Products | Your share of ad impressions on searches you already win clicks on |
| Business Reports | Seller Central: Reports > Business Reports > Detail Page Sales and Traffic by Child Item | Total sales, sessions, unit session percentage and Featured Offer (Buy Box) percentage |
| Search Query Performance | Seller Central: Brands > Brand Analytics (brand-registered sellers) | Your share of all impressions, clicks and purchases for a search, ads and organic combined |
If you prefer one file, a bulk operations spreadsheet (Campaign Manager > Bulk operations) can include campaign structure plus search term data. It is the easiest file to filter for structure problems, and you can upload changes back through it.
Choose your date ranges
Different checks need different windows:
- Search terms and targets: 30 to 60 days. The console only keeps roughly the last two months of search term data, so save a copy every month.
- Account health trend: the last three full months, plus the same months last year if you have them, to allow for seasonality.
- Placements and bids: 30 days for busy campaigns, 60 for quieter ones.
- Weekly checks: the last 7 to 14 days, read with caution.
Allow for attribution lag
Ad sales are tied to the date of the click, not the date of the order. For sellers, Sponsored Products credits a sale to a click for up to 7 days. Sponsored Brands and Sponsored Display use 14 days. Business Reports count sales by order date.
That means the last few days of any ads report always look worse than they will end up. When your report period ends today, leave out at least the last 3 days for Sponsored Products decisions, and up to a week for Sponsored Brands and Display. It also means ad sales and Business Reports sales will not line up exactly over short periods. Over 30 days or more, the difference mostly evens out.
Red flagsSigns your audit data is misleading you
- The report ends yesterday and the last week shows a sudden ACoS spike.
- You are comparing Sponsored Products ACoS with Sponsored Brands ACoS as if they counted sales the same way.
- A search term "has no sales" after 4 clicks.
- The period includes Prime Day, a Lightning Deal or a stock-out, and you are treating it as normal.
- You compare October with September and forget that holiday shopping and peak fees start in mid-October.
Know your numbers first: break-even and target ACoS
Break-even ACoS is the ACoS at which an ad sale makes zero profit. It equals your profit margin before advertising. Every check in this guide compares against it, so calculate it per product before you look at a campaign. Our guide to break-even ACoS covers it in depth.
Break-even ACoS
Example: price $34.99; landed product cost $9.80; referral fee 15% = $5.25
FBA fee (large standard, 12–16 oz, $10–$50 band) $4.60 + 3.5% surcharge = $4.76
Storage, returns and inbound allowance: $1.00
Profit before ads = 34.99 − 9.80 − 5.25 − 4.76 − 1.00 = $14.18
Break-even ACoS = 14.18 ÷ 34.99 = 40.5%
Your target ACoS is lower than break-even, because you want ads to earn a profit. How much lower depends on the product's stage, which section 12 covers. In this example, a 30% target leaves about $3.68 of profit per ad sale (10.5% of $34.99).
Two timing notes for October 2026. Holiday peak fulfillment fees apply from 15 October 2026 to 14 January 2027, so the FBA fee is higher and break-even ACoS is a little lower during that window; see Amazon holiday peak fees. And if you run a coupon or deal, use the price after the discount.
3. Account health in five numbers
Before you look at a single search term, get a one-page view of how advertising is affecting the business. Five numbers do most of the work.
| Metric | Formula | What it tells you |
|---|---|---|
| ACoS | Ad spend ÷ ad sales | Efficiency of the ad sales themselves |
| TACoS | Ad spend ÷ total sales | Ad cost as a share of the whole business |
| Ad share of sales | Ad sales ÷ total sales | How dependent sales are on advertising |
| Conversion rate (CVR) | Orders ÷ clicks (ads) or units ÷ sessions (Business Reports) | Whether traffic turns into sales |
| Cost per click (CPC) | Ad spend ÷ clicks | Whether clicks are getting more expensive |
For more on the first two, see ACoS vs TACoS.
TACoS and ad share of sales
Ad share of sales = Ad sales ÷ Total sales
Organic sales = Total sales − Ad sales
Example: ad spend $6,000; ad sales $20,000; total sales $50,000
ACoS = 6,000 ÷ 20,000 = 30.0% TACoS = 6,000 ÷ 50,000 = 12.0%
Ad share = 20,000 ÷ 50,000 = 40.0% Organic sales = $30,000
Worked example: the trend that ACoS hides
Say a brand's last three months look like this:
| Month | Ad spend | Ad sales | Total sales | ACoS | TACoS | Ad share | Organic sales |
|---|---|---|---|---|---|---|---|
| July | $4,500 | $16,000 | $50,000 | 28.1% | 9.0% | 32.0% | $34,000 |
| August | $5,200 | $17,500 | $49,500 | 29.7% | 10.5% | 35.4% | $32,000 |
| September | $6,000 | $20,000 | $50,000 | 30.0% | 12.0% | 40.0% | $30,000 |
Looked at through ACoS alone, nothing is wrong. It moved from 28.1% to 30.0%, well inside a typical target. But total sales did not grow. Ad spend rose by $1,500 a month while organic sales fell by $4,000. The business is paying more to stand still.
Likely causes: ads now winning searches the product used to win organically (such as your own brand name), slipping organic rank on key searches, a drop in conversion rate, or a planned launch inside the totals. The sections below narrow it down.
InsightACoS measures ads. TACoS measures the business.
ACoS can only tell you whether ad sales are efficient. It cannot see organic sales. A falling TACoS with growing total sales usually means ads are helping the whole listing. A rising TACoS with flat sales means ads are taking a bigger share of sales you might have made anyway. Track both, every month, per product.
Red flagsAccount health warning signs
- TACoS rising for three months while total sales are flat or falling.
- Ad share of sales climbing on a mature product that used to sell well organically.
- Blended ACoS above break-even on a product that is not in a planned launch or ranking push.
- CPC rising faster than conversion rate, month after month.
- One or two products account for most of the ad spend but nobody has looked at their search terms recently.
4. Search term audit: find the leaks
The search term report is where most audits find their quickest savings. It lists what shoppers actually typed (or the ASIN of the product page they were on) before clicking your ad. If you are new to it, read our search term report guide first.
You are looking for four things: waste, gaps, conflicts and patterns.
4.1 Set a click threshold
You cannot call a search term a failure after three clicks. Set a minimum number of clicks before you judge a term with zero orders. The usual starting point is based on your conversion rate.
Click threshold for judging a search term
Click threshold ≈ (1 ÷ CVR) × 1.5
Example: CVR 10% → 1 ÷ 0.10 = 10 clicks per order → threshold ≈ 15 clicks
Example: CVR 8% → 1 ÷ 0.08 = 12.5 clicks per order → threshold ≈ 19 clicks
A term with 15+ clicks and no order at a 10% CVR is a negation candidate.
The 1.5 multiplier gives each term a fair chance. Obviously irrelevant terms (wrong size, wrong product, wrong use) can be negated at any click count.
4.2 Measure wasted spend
Wasted spend is the money spent on search terms that passed the threshold and produced nothing. It is the clearest single number for how well negatives are being maintained.
Wasted spend share
Example (one product, 60 days): total search term spend $9,000
Terms with ≥ 15 clicks and 0 orders: $1,170
Wasted spend % = 1,170 ÷ 9,000 = 13.0%
Monthly saving if negated: 1,170 ÷ 2 = about $585 a month
Keep two other buckets separate:
- Unproven: zero orders but below the click threshold. In the same example this might be another $860. It is not waste yet; it is the cost of testing.
- Inefficient: terms with orders but an ACoS well above target. These need lower bids, not negatives, unless the term is irrelevant.
Some waste is normal. Discovery costs money. What you want to know is whether the same kind of waste returns every month, which means negatives are not being added, or whether new waste appears and is cleaned up quickly.
4.3 Check negatives for conflicts
Negatives are easy to add and easy to forget. Over time they can start blocking traffic you want. Pull your negatives (the bulk file shows them all) and check:
- Negatives that block your own targets. A negative phrase "foam" in an exact campaign that also bids on "memory foam pillow" stops that keyword serving. The console does not always warn you.
- Negative phrase on a word that also appears in winners. Before you keep a single-word negative phrase, search the converting terms for that word.
- Missing source negatives. When a term is harvested into exact, it should be added as a negative exact in the auto, broad or phrase campaign it came from. Otherwise your campaigns bid against each other and the data splits.
- Negative ASINs. In auto and product targeting campaigns, competitor ASINs that took many clicks without sales should be negative product targets.
Our guide to negative keywords covers how negative exact and negative phrase behave.
Quick winFind duplicate search terms in five minutes
In the search term report, sort by the "Customer search term" column and look for the same term appearing under two or more campaigns. Each duplicate is a term your campaigns are competing for. Keep it in the campaign where you want to control it (usually exact) and negate it exact everywhere else.
4.4 Look for harvesting gaps
The reverse of waste: converting search terms that only run through auto, broad or phrase campaigns, sharing one bid with hundreds of other searches. A simple rule many sellers use is to move a term into exact match when it has two or more orders at or below target ACoS. The full routine is in keyword harvesting.
In the audit, count how many search terms meet your harvesting rule but are not yet exact keywords anywhere in the account. If that list is long, harvesting has stopped happening, and your best searches are being bid on with a discovery-level bid.
The same applies to ASINs. A competitor's product page that converts well for you belongs in a product targeting campaign with its own bid.
4.5 Word-level (n-gram) analysis
Single rows hide patterns. Twenty search terms that each waste $6 do not stand out, but if they all contain the word "kids", that word cost you $120. Word-level analysis (often called n-gram analysis) splits every search term into single words (and sometimes two- or three-word phrases), then adds up clicks, spend and orders for each word.
Here is a worked example. Say you sell an adult cooling pillow for $39.99. A 60-day search term report, split into single words, shows:
| Word | Search terms containing it | Clicks | Spend | Orders | Sales | ACoS |
|---|---|---|---|---|---|---|
| cooling | 64 | 820 | $779.00 | 92 | $3,679.08 | 21.2% |
| queen | 41 | 510 | $459.00 | 48 | $1,919.52 | 23.9% |
| kids | 23 | 140 | $126.00 | 1 | $39.99 | 315% |
| travel | 17 | 96 | $81.60 | 0 | $0 | – |
| cheap | 12 | 75 | $60.00 | 1 | $39.99 | 150% |
How to read it:
- "kids" and "travel": you do not sell a kids pillow or a travel pillow. Together they cost $126.00 + $81.60 = $207.60 over 60 days for one sale. Both are strong negative phrase candidates.
- "cheap": one sale, but at 150% ACoS. Shoppers who type "cheap" are price-led. Check whether your price is competitive for them before negating; often a negative phrase is still the right call.
- "cooling" and "queen": both well under a 30% target. If any search terms containing them are not yet exact keywords, they are harvesting candidates. They are also words to make sure no negative accidentally blocks.
One caution: the rows overlap. "cooling pillow queen" counts under both "cooling" and "queen", so you cannot add the rows up to get a total.
Avoid
Do this
4.6 Odd search terms to expect in 2026
Two recent changes can put unfamiliar rows in your report:
- Longer, conversational searches. Since 13 May 2026, Amazon's Rufus assistant has been folded into Alexa for Shopping, which answers shopper questions from the search bar. Expect more question-style phrases. Judge them by results like any other term. See Amazon Rufus and Alexa for Shopping for sellers.
- Sponsored Products prompts. AI-written prompt ads for Sponsored Products and Sponsored Brands have billed on CPC under your existing bids since 25 March 2026 in the US. They have their own Prompts report type. Include it in monthly audits.
Sponsored Products ads can also serve off Amazon. Where there is no shopper search, Amazon may show a search term it has inferred. Treat those rows with the same click-threshold logic.
5. Targeting and match-type mix
Once search terms are clean, step back and look at where the money goes by targeting type. This tells you whether the account is still mostly "discovering" or is spending on what it already knows works.
Pull the targeting report (or a campaign report, if your campaigns are split by targeting type) and group spend and sales by type.
Worked example: a mature product still paying to explore
Say one mature product's Sponsored Products campaigns show this over 60 days:
| Targeting type | Spend | Ad sales | ACoS | Share of spend |
|---|---|---|---|---|
| Auto | $2,700 | $6,750 | 40.0% | 30% |
| Broad | $2,250 | $6,000 | 37.5% | 25% |
| Phrase | $900 | $3,000 | 30.0% | 10% |
| Exact | $1,800 | $9,000 | 20.0% | 20% |
| Product targeting | $1,350 | $3,375 | 40.0% | 15% |
| Total | $9,000 | $28,125 | 32.0% | 100% |
Exact match produces the best ACoS and a third of all ad sales ($9,000 of $28,125), yet it gets only 20% of the spend. Auto and broad together take 55% of spend at 37.5% to 40% ACoS. For a launch product, heavy discovery spend is normal. For a mature product, it usually means harvesting has fallen behind (section 4.4), or the exact campaign is held back by low bids or a small budget.
Next, check whether the exact campaign runs out of budget (section 9), whether exact bids sit below what their revenue per click supports (section 6), and whether the auto campaign's four targeting groups have separate bids, since close match usually behaves very differently from complements (see auto campaign targeting groups). There is no single correct split; what you want is a reason for the split you have.
Branded vs non-branded
If shoppers search your brand name, branded campaigns will usually show a very low ACoS. Mixed into other campaigns, that low ACoS hides weak generic performance. In the audit, separate spend and sales on searches containing your brand name from everything else. Then ask two questions: is the non-branded ACoS acceptable on its own, and is branded spend protecting sales from competitors or just paying for sales you would have made organically? The Search Query Performance report helps answer the second question; see our Search Query Performance guide.
InsightMatch types do different jobs
Auto and broad find new searches. Phrase narrows them. Exact controls the bid for one search. Product targeting reaches shoppers on specific product pages. An audit should judge each against its job: discovery campaigns on how many good new terms they find, exact campaigns on profit and volume. Our keyword match types guide explains how each one matches.
6. Bids: are they based on the numbers?
Many accounts run on suggested bids, round numbers or bids set at launch and never changed. The audit question is simple: for each target with enough data, is the bid what its results can afford?
Sales per click: the number behind every bid
Every click is worth, on average, the ad sales it brings in. That is revenue per click, also called sales per click. It combines order value and conversion rate in one number.
Revenue per click and max bid
Max CPC = Revenue per click × Target ACoS
Check: if you pay exactly the max CPC, ACoS = CPC ÷ Revenue per click = Target ACoS
Example: 400 clicks, $1,759.56 ad sales → revenue per click = $4.40
Target ACoS 30% → max CPC = 4.40 × 0.30 = $1.32
Actual revenue per click beats list price as an input, because it picks up multi-unit orders, coupons and sales of other products in your brand.
Worked example: four keywords, four different answers
Same cooling pillow, $39.99, target ACoS 30%, 60 days of exact match data (most recent week excluded):
| Keyword (exact) | Clicks | Orders | Ad sales | Spend | Avg CPC | Current bid | ACoS |
|---|---|---|---|---|---|---|---|
| cooling pillow | 400 | 44 | $1,759.56 | $520.00 | $1.30 | $1.40 | 29.6% |
| cooling pillow queen | 150 | 18 | $719.82 | $165.00 | $1.10 | $1.20 | 22.9% |
| gel pillow | 220 | 11 | $439.89 | $286.00 | $1.30 | $1.50 | 65.0% |
| pillow for hot sleepers | 60 | 8 | $319.92 | $54.00 | $0.90 | $0.90 | 16.9% |
Now work out revenue per click and the max CPC at 30%:
| Keyword | Revenue per click | Max CPC at 30% | Verdict |
|---|---|---|---|
| cooling pillow | $1,759.56 ÷ 400 = $4.40 | $1.32 | On target. Leave it, or trim the bid to about $1.32. |
| cooling pillow queen | $719.82 ÷ 150 = $4.80 | $1.44 | Under target. Raise the bid toward $1.44 in steps. |
| gel pillow | $439.89 ÷ 220 = $2.00 | $0.60 | Paying more than double what it can afford. Cut toward $0.60, and check relevance. |
| pillow for hot sleepers | $319.92 ÷ 60 = $5.33 | $1.60 | Strong but only 60 clicks. Raise gradually, for example to $1.10–$1.20, and recheck. |
Notice that "cooling pillow" has a bid ($1.40) above its max CPC ($1.32) but still hits target, because the average CPC paid ($1.30) is below the bid. Amazon's auction often charges less than your maximum. Bid on the numbers, then judge on actual CPC and ACoS.
InsightNot enough data? Use the product's average
A keyword with 20 clicks does not have a reliable conversion rate of its own. Until it does, base its bid on the ad group's or product's average revenue per click, then switch to its own numbers once it passes your click threshold. This stops one lucky or unlucky week from driving the bid.
Check the bidding strategy and stacking
Each Sponsored Products campaign has one bidding strategy: dynamic bids – down only, dynamic bids – up and down, or fixed bids. Under up and down, Amazon's dynamic bidding guide says it can raise bids by up to 100% for all placements. Placement adjustments are applied first, and dynamic bidding works on top. Our bidding strategies guide compares the three.
Highest possible CPC
Example: bid $1.20, top of search adjustment 50%, up and down
1.20 × 1.50 = $1.80 after the adjustment
1.80 × 2 = up to $3.60 per click at top of search
With down only or fixed bids, the ceiling is $1.80.
In the audit, list every campaign that uses up and down together with a large top of search adjustment. Those are the campaigns where actual CPC most often drifts far above the bid you think you set.
Red flagsBid warning signs
- Bids are suspiciously round ($1.00, $1.50, $2.00) across many targets.
- Many targets still sit at the bid they launched with months ago.
- Bids match Amazon's suggested bid rather than your own numbers.
- Up and down bidding is combined with a 200%+ top of search adjustment.
- Bids are changed daily on targets with only a handful of clicks.
7. Placements: where your ads show and what each costs
Sponsored Products ads show in three main placements: top of search (the first row on page one), rest of search (other search result slots) and product pages (detail pages and other non-search pages). Each can be raised by 0% to 900% at campaign level. Adjustments can only increase bids, so the base bid has to be right for the weakest placement. The full method is in our placement bid adjustments guide.
In the audit, open each important campaign's Placements tab in Campaign Manager (or download the placement report) and calculate conversion rate and ACoS per placement.
Worked example: one healthy placement hidden in a 35% average
Say an exact match campaign sells a $49.99 product, target ACoS 30%. Current settings: base bid $1.40, top of search +30%, rest of search 0%, product pages 0%, fixed bids. Thirty days of placement data:
| Placement | Clicks | Orders | CVR | Avg CPC | Spend | Ad sales | ACoS |
|---|---|---|---|---|---|---|---|
| Top of search | 300 | 36 | 12.0% | $1.75 | $525.00 | $1,799.64 | 29.2% |
| Rest of search | 200 | 14 | 7.0% | $1.30 | $260.00 | $699.86 | 37.1% |
| Product pages | 250 | 10 | 4.0% | $1.10 | $275.00 | $499.90 | 55.0% |
| Total | 750 | 60 | 8.0% | $1.41 | $1,060.00 | $2,999.40 | 35.3% |
The blended 35.3% suggests a campaign slightly over target. In fact top of search is on target, and the problem is mostly product pages.
Placement bids from conversion rate
Top of search: 49.99 × 0.12 × 0.30 = $1.80
Rest of search: 49.99 × 0.07 × 0.30 = $1.05
Product pages: 49.99 × 0.04 × 0.30 = $0.60
Base bid = lowest max CPC = $0.60
Adjustment % = (Placement max CPC ÷ Base bid) − 1
Rest of search: (1.05 ÷ 0.60) − 1 = 75% Top of search: (1.80 ÷ 0.60) − 1 = 200%
The new setup is a $0.60 base bid with +200% top of search and +75% rest of search. Two cautions before you apply it. First, $1.40 to $0.60 is a 57% cut in the base bid; make it in two or three steps and watch impressions. Second, keep this campaign on fixed or down-only bidding, because +200% with up and down could take top of search to $3.60 per click.
Off-Amazon placements
Sponsored Products ads can also run on third-party sites and apps. Campaigns have a setting for ads served off Amazon that lets you lean toward reach or limit that spend, and the placement report can show an off-Amazon row. Trade press also reported that from August 2026 Amazon began showing Sponsored Products through creators in its influencer programme, with existing campaigns enrolled by default. Top of search and product page adjustments do not apply off Amazon. In the audit, check that row's ACoS and decide, campaign by campaign, whether to keep the default. The exact setting names have changed during rollout, so check the campaign's settings in your console.
Quick winCheck your three biggest campaigns' placements today
Open the Placements tab for the three campaigns with the most spend. If one placement has double the ACoS of another and the campaign still has 0% adjustments (or one large adjustment applied everywhere), you have found an easy fix. It takes ten minutes and often moves more money than a week of keyword tweaks.
8. Campaign structure and naming
Structure problems show up as an account you cannot read, budgets going to the wrong traffic, and bid changes hitting targets you did not mean to touch. Our campaign structure guide covers how to build a clean setup. Here is how to audit an existing one.
What to check
- One job per campaign. Budget, bidding strategy and placement adjustments are all set at campaign level. A campaign that mixes exact keywords, broad keywords and competitor ASINs cannot have the right settings for all three.
- Related products grouped sensibly. Variations that share keywords (sizes, colours) can share campaigns. Unrelated products in the same ad group share bids that suit neither.
- Portfolios. Grouping campaigns by product or brand line makes the advertised product report and Campaign Manager far easier to review.
- Naming. Can you tell from the name alone which product, ad type, targeting type and match type a campaign covers? If not, filtering and bulk edits become guesswork.
- Dead weight. Paused or archived campaigns with old negatives, enabled ad groups with no active ads, and ads for ASINs you no longer sell.
- Duplicates. The same keyword in the same match type in two enabled campaigns for the same product.
A simple naming pattern many sellers use is Brand | Product | Ad type | Targeting | Match, for example BrandX | Cooling Pillow Queen | SP | KW | Exact. Pick one pattern, keep the field order fixed, and leave dates out of names.
Avoid
Do this
InsightStructure decides what you can control
If your best keyword shares a campaign with a weak one, you cannot give it a bigger budget or a different placement adjustment without giving the weak one the same. When an audit finds you cannot make a sensible change because of how campaigns are grouped, that is the structure problem to fix, rather than the bid.
9. Budgets and out-of-budget checks
A campaign that runs out of budget stops showing ads until the budget resets at midnight. If that campaign is profitable, you are leaving sales on the table every afternoon and evening. If it is not profitable, more budget just buys more waste.
How Amazon applies daily budgets
The daily budget is averaged over the calendar month. Under Amazon's budgeting policy, a campaign can spend more than its daily budget on a given day, using budget unspent on earlier days; Amazon's default allows up to 100% more, and you can set that to 25% in the account settings. Over the month, total spend stays within your daily budget multiplied by the number of days. Check the current rule in your console's settings.
What to check
- Which campaigns run out of budget, and when? Campaign Manager flags out-of-budget campaigns, and Amazon's budget tools can show time in budget, estimated missed impressions, clicks and sales, and a recommended budget. Amazon's Sponsored Products budget guide explains these.
- Are those campaigns at or below target ACoS? Only those deserve more budget.
- Has waste been removed first? Run the search term checks from section 4 on any campaign before raising its budget.
- Are budget rules in place for known peaks? Schedule-based rules can raise budgets for events and busy days; performance-based rules can raise them when a campaign hits a metric you choose.
- Is budget spread to match results? Proven exact and branded campaigns usually deserve more of the budget than discovery campaigns.
Cost and value of extra budget
Extra ad sales ≈ Estimated missed clicks × Revenue per click
Example: exact campaign runs out mid-afternoon; estimated 40 missed clicks a day
Average CPC $1.10; revenue per click $4.80
Extra budget ≈ 40 × 1.10 = $44.00 a day
Extra ad sales ≈ 40 × 4.80 = $192.00 a day → ACoS on that extra ≈ 44 ÷ 192 = 22.9%
Amazon's missed-click figures are estimates, so treat them as a guide. If the campaign's ACoS is under target, raise the budget in steps and check that ACoS holds as spend increases; the extra clicks later in the day are not always as good as the morning ones.
Red flagsBudget warning signs
- Your best exact campaign runs out of budget most days while auto campaigns never do.
- A campaign above break-even ACoS has had its budget raised because it "keeps running out".
- Budgets have not been reviewed since before the holiday period started.
- A portfolio budget cap is silently stopping campaigns you thought were running.
10. When it is not a PPC problem
Ads send shoppers to your product page. What happens next depends on the page, the price, the reviews and whether you can actually sell the item. If those break, every ad metric gets worse at once, and cutting bids makes it worse again.
Signs the problem is the product, not the campaigns
- Conversion rate fell across all campaigns and targets at once, not just one.
- Organic sales fell at the same time as ad sales.
- CPC is stable but ACoS rose. If clicks cost the same but return fewer sales, something changed after the click.
When you see these, open Reports > Business Reports > Detail Page Sales and Traffic by Child Item and compare Unit Session Percentage (units ÷ sessions) and Featured Offer (Buy Box) Percentage with the previous period.
How a conversion drop cuts what you can bid
Example: $39.99 product, 30% target ACoS
At 14% CVR: 39.99 × 0.14 × 0.30 = $1.68
At 9% CVR: 39.99 × 0.09 × 0.30 = $1.08
Drop in affordable CPC = (1.68 − 1.08) ÷ 1.68 = 36%
Same clicks, same competitors, but you can now afford about a third less per click.
The product checklist
| Check | Where | What to look for |
|---|---|---|
| Featured Offer (Buy Box) | Business Reports, Featured Offer Percentage | Sponsored Products ads only show when your offer is the featured offer. A drop here cuts impressions directly. |
| Stock | Inventory > Manage FBA Inventory | Out-of-stock ASINs stop serving ads; low stock can push you to cut ads early. See inventory restock planning. |
| Price | Your listing vs the products you appear next to | A price rise, a lost coupon or a competitor's deal changes conversion overnight. |
| Rating and reviews | Detail page | A small drop in star rating or a recent run of negative reviews can lower conversion. |
| Listing content | Detail page, on mobile | Main image, title, bullets and A+ content; missing variations; suppressed or changed content. See listing optimization. |
| Relevance | Search term report | Ads serving on searches the listing does not clearly answer, which often points to title or backend keyword issues. |
Our conversion rate guide goes deeper on fixing the page itself.
InsightAds amplify the product
If a product converts well, ads scale it profitably. If it converts poorly, ads scale the loss. When an audit finds conversion problems, fix those first and hold bids steady. Cutting bids to protect ACoS on a weak listing only lowers traffic, which lowers sales history, which tends to lower organic rank.
11. Sponsored Brands and Sponsored Display, briefly
Most of the audit applies to Sponsored Brands and Sponsored Display too, with a few differences that change how you read the numbers. See Sponsored Products vs Brands vs Display for the full comparison.
- Attribution is longer and wider. For sellers, Sponsored Brands credits sales of any product from your brand within 14 days of a click. Sponsored Display also uses 14 days, and vCPM (cost per thousand viewable impressions) campaigns can count views as well as clicks; Amazon updated view attribution for vCPM display campaigns from 1 January 2026. Never compare their ACoS directly with Sponsored Products.
- Judge them on the whole brand. Look at TACoS and total brand sales over the same period, plus new-to-brand metrics, which show how many orders came from shoppers who had not bought your brand recently.
- Search terms still matter. Sponsored Brands keyword campaigns have their own search term report. Apply the same click threshold and negative checks.
- Check landing pages and creative. A store page full of out-of-stock products wastes clicks no matter how good the bids are.
12. Launch vs mature: different products, different scorecards
The same numbers mean different things depending on how old the product is. An audit that applies one target to everything will either strangle launches or let mature products waste money. Our product launch strategy guide covers the launch side in detail.
| Check | Launch product | Mature product |
|---|---|---|
| ACoS vs break-even | Above break-even can be acceptable for a limited, planned period | Should sit below break-even, at your profit target |
| TACoS | High and expected to fall as organic sales start | Stable or falling; a rise needs an explanation |
| Ad share of sales | High at first | Lower, with a steady organic base |
| Spend mix | More in auto and broad discovery | More in proven exact and product targets |
| Main question | Is organic rank and conversion improving week by week? | Is each dollar earning its target return? |
| Main risk | "Investing in rank" with no end date or loss limit | Waste creeping back; harvesting and negatives not maintained |
InsightGive every launch a budget for losses
Before a launch, set a maximum total loss you will accept and a review date. In the audit, check spend to date against that limit and look for signs it is working: improving organic rank on target searches, rising organic sales and a stable conversion rate. If none of those are moving, more spend will not fix it.
13. How often to audit: a weekly, monthly and quarterly rhythm
An audit works best as a routine, because waste comes back if nobody watches it. Split the work by how quickly each problem can cost money.
| Cadence | Time needed | What to check |
|---|---|---|
| Weekly | 20–40 minutes per key product | Spend and ACoS vs target; out-of-budget campaigns; stock and Buy Box; new search terms past the click threshold; obvious irrelevant terms |
| Monthly | A few hours for a mid-sized account | Full search term review with word-level analysis; harvesting; bid review from revenue per click; placement review for big campaigns; TACoS and organic trend; download and save reports |
| Quarterly | Up to a day for a large catalog | Break-even ACoS refresh (fees, costs, prices); campaign structure and naming; targeting mix; product-level checks on top spenders; launch products moved to mature targets; seasonal plan and budget rules |
Also run an unscheduled check after anything that changes the economics: a fee update, a price change, a new shipment at a different cost, a big deal, or the start of the holiday period.
Quick winKeep a change log
Every time you change a bid, budget, placement or negative, note the date, the change and the reason in a simple sheet. At the next audit, compare the two weeks before and after. Without a log you cannot tell which change helped.
14. Common audit mistakes
Our list of general Amazon PPC mistakes covers campaign management. These are the ones specific to auditing.
- Starting with keywords instead of the numbers. Without break-even and target ACoS, nothing has a standard to be judged against.
- Auditing the account average. Averages hide the products losing money.
- Cutting everything above target. Some high-ACoS terms are key ranking searches. Lower the bid rather than delete them, and check TACoS first.
- Raising budgets before removing waste. You fund the same bleeding search terms at a larger scale.
- Blaming PPC for a product problem. Check conversion rate, Buy Box, stock and price first.
- Changing everything at once. You cannot tell what worked. Make the biggest change first and give it one to two weeks.
- Not saving the data. Without saved reports, next quarter's audit has nothing to compare against.
Prioritize by dollars, not by count
Finish the audit by putting a rough monthly dollar figure next to each finding, then work from the top. Using the examples in this guide for one product:
| Finding | Rough monthly impact | Action |
|---|---|---|
| Wasted search term spend (section 4.2) | About $585 a month saved | Negate terms past threshold |
| Word-level negatives (section 4.5) | About $104 a month saved ($207.60 over 60 days) | Add "kids" and "travel" as negative phrase |
| Out-of-budget exact campaign (section 9) | About $5,760 a month in extra ad sales ($192 × 30) at about 23% ACoS | Raise budget in steps |
| "gel pillow" overbid (section 6) | Bring ACoS from 65% toward target | Cut bid toward $0.60 |
Note that the word-level savings may overlap with the wasted-spend total, so do not add every line together. The point is order: do the biggest items first, then the rest.
Quick-reference formulas
| Metric | Formula | Example |
|---|---|---|
| ACoS | Ad spend ÷ Ad sales | $6,000 ÷ $20,000 = 30.0% |
| ROAS | Ad sales ÷ Ad spend (= 1 ÷ ACoS) | $20,000 ÷ $6,000 = 3.33 |
| TACoS | Ad spend ÷ Total sales | $6,000 ÷ $50,000 = 12.0% |
| Ad share of sales | Ad sales ÷ Total sales | $20,000 ÷ $50,000 = 40.0% |
| Organic sales | Total sales − Ad sales | $50,000 − $20,000 = $30,000 |
| Break-even ACoS | Profit before ads ÷ Price | $14.18 ÷ $34.99 = 40.5% |
| Conversion rate (CVR) | Orders ÷ Clicks | 44 ÷ 400 = 11.0% |
| Cost per click (CPC) | Spend ÷ Clicks | $520 ÷ 400 = $1.30 |
| Click-through rate (CTR) | Clicks ÷ Impressions | 400 ÷ 20,000 = 2.0% |
| Revenue per click | Ad sales ÷ Clicks (= AOV × CVR) | $1,759.56 ÷ 400 = $4.40 |
| Max CPC | Revenue per click × Target ACoS | $4.40 × 0.30 = $1.32 |
| Click threshold | (1 ÷ CVR) × 1.5 | (1 ÷ 0.10) × 1.5 = 15 clicks |
| Wasted spend % | Zero-order spend past threshold ÷ Total spend | $1,170 ÷ $9,000 = 13.0% |
| Placement adjustment | (Placement max CPC ÷ Base bid) − 1 | ($1.80 ÷ $0.60) − 1 = 200% |
| Highest possible CPC | Bid × (1 + adjustment) × 2 (up and down) | $1.20 × 1.5 × 2 = $3.60 |
| Extra budget needed | Missed clicks × CPC | 40 × $1.10 = $44.00 a day |
Closing
A good Amazon PPC audit follows the money in order: set your break-even and target ACoS, check whether advertising is growing the business through TACoS and organic sales, then clean search terms, fix bids from revenue per click, set placements from their own conversion rates, tidy the structure and feed budget to what works. Before cutting anything, make sure the product itself can still convert. Do a light version every week, a full one every month and a structural one every quarter, and keep a log so each audit builds on the last.
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Frequently asked questions
How long does an Amazon PPC audit take?
A focused weekly check of one product's campaigns takes 20 to 40 minutes. A full monthly audit of a mid-sized account usually takes a few hours, most of it spent in the search term report. A quarterly review of structure, targets and product health can take a day for a large catalog.
What is a good TACoS for an Amazon brand?
There is no single good number, because it depends on margin and product stage. Mature private-label products often sit somewhere in the single digits to low teens, while launches run higher. The trend matters more than the level: TACoS that rises while total sales stay flat is a warning sign.
How much wasted ad spend is normal on Amazon?
Some waste is the cost of finding new search terms, so zero is not the goal. What matters is whether spend on terms with plenty of clicks and no sales keeps coming back after you negate it. If that share is large and stable month after month, negatives and bids are not being maintained.
Should I audit my PPC account myself or hire an agency?
You can run the core audit yourself with the Ads console, Business Reports and a spreadsheet. The checks in this guide do not need paid software. An outside reviewer is most useful when you are too close to the account to question its structure, or when the catalog is too large to review by hand.
Why does my ACoS look worse in the last few days?
Ad sales are credited to the day of the click, and orders can arrive days later. For sellers, Sponsored Products uses a 7-day window and Sponsored Brands and Sponsored Display use 14 days. Recent days fill in over time, so leave them out of audit decisions.
Can an Amazon PPC audit fix low sales on its own?
Only if advertising is the cause. If conversion rate has fallen because of price, reviews, stock or a weak listing, cutting bids just lowers traffic further. A good audit checks the product page and offer before blaming the campaigns.
Amazon Ads features and limits change often. Checked in October 2026. Sotrics is not affiliated with Amazon.