Audit Your Amazon PPC Agency

You hired an agency so you wouldn't have to live in Campaign Manager. That shouldn't mean flying blind. Connect your own Amazon Ads and Seller Central data — read-only — and get a second set of AI eyes on the work, plus a short list of questions worth raising on the next call.

This isn't a breakup tool. Most brands who run this end up with a better standing report and a sharper monthly review, not a new agency. We work with agencies too. See the agency side →

Read-only by default Unlimited seats — invite your agency Claude, ChatGPT or in-app
AI Chat — before the agency call
You: Our agency's deck says ACOS improved from 31% to 24% last quarter. Is that real?
MAP: Partly. Blended ACOS did fall to 24.3%. But branded keyword spend went from 18% to 41% of keyword-targeted spend over the same period. On non-branded terms, ACOS moved the other way — 34.8% to 39.1%.
You: So how do I raise that without starting a fight?
MAP: Ask this: "Blended ACOS looks great — can you walk me through branded vs non-branded separately, and what the plan is for non-branded efficiency next quarter?" Neutral, specific, and it's a question they can answer with work rather than defend.

What an Amazon PPC agency audit actually is

An Amazon PPC agency audit is an independent read of your own advertising data to check whether the results you're being shown hold up, and to surface the questions worth asking next. It does not require replacing your agency, exporting spreadsheets, or asking anyone's permission — the ad account belongs to your business. The useful output is a short, specific list of questions, not a scorecard.

Good agencies survive oversight

The problem usually isn't a bad agency. It's a reporting gap — a monthly deck built from one set of numbers, and no independent way to sanity-check it between calls.

You only see the deck

Monthly reporting is a summary someone chose to build. Without the raw data you can't tell a real efficiency gain from a change in the mix.

Thirty days is a long gap

Wasted spend, stranded inventory, and a paused hero campaign all compound quietly between reviews. You want to see them in week two, not week five.

You don't know what to ask

"How's it going?" gets you a status update. A question with a number attached gets you a plan — and good agencies genuinely prefer the second kind.

One incentive worth naming. Agencies paid a percentage of revenue are structurally rewarded for spending on branded keywords, which convert cheaply and would often have converted anyway. Agencies paid on ad spend are rewarded for spending more of it. Neither arrangement makes anyone dishonest — but it does tell you which number to check first. We charge on ad spend and say so on our own managed services page.

Nine questions AI can answer from your own data

Each one is answerable from the Amazon Ads and Selling Partner APIs. Each one ends with what a good agency will say — because a clean answer is just as useful as a problem.

1

Did ACOS improve, or did spend just move onto our own brand name?

What the data shows: keyword-targeted spend split into branded and non-branded, trended by month. Blended ACOS can fall for a quarter purely because the mix drifted toward terms that were already going to convert.

A good agency says: "Here's the split, here's why we leaned into brand defense this quarter, and here's the non-branded efficiency target." Search query data backs it up.

2

How much did we spend on search terms that produced zero orders?

What the data shows: every search term with clicks and no orders over the last 30 or 60 days, ranked by cost, with the campaign and match type attached.

A good agency says: "That's our harvest list — here's the negative cadence and what we added last week." See the wasted ad spend dashboard.

3

Are we advertising products that are out of stock or unbuyable?

What the data shows: ad spend joined to FBA inventory and listing status, so ASINs that are out of stock, suppressed, or inactive but still taking budget surface immediately.

A good agency says: "We pace against inventory." If they don't, this is the cheapest fix on the list. See inventory-aware advertising.

4

What share of our catalog gets any ad spend at all?

What the data shows: which ASINs carry the budget and which have never had an impression. Concentration isn't automatically wrong — unintentional concentration is.

A good agency says: "Here's why the tail is unadvertised — margin, inventory depth, or review count." A blank look is the finding.

5

Is advertising growing total sales, or replacing organic ones?

What the data shows: TACoS — ad spend against total Seller Central or Vendor Central sales, not just ad-attributed sales. Requires your Seller Central integration connected alongside Ads.

A good agency says: they already report TACoS. Ad-attributed sales alone can rise while the business stands still.

6

Are Sponsored Brands, Sponsored Display, and DSP doing anything?

What the data shows: spend and return by ad product. An empty result here almost always means the ad type isn't running at all, rather than that data is missing.

A good agency says: a reason — brand registry status, budget priority, a deliberate sequencing call. Silence on a whole ad type is worth a follow-up.

7

Are we paying for placements we already own organically?

What the data shows: top-of-search impression share and cost per click on terms where you already hold strong organic share in Brand Analytics search query data.

A good agency says: defensive spend is a real strategy with a real cost, and they can tell you which terms they've chosen to defend and why.

8

What changed last month, and what happened after it changed?

What the data shows: the footprint of the change. Amazon's API doesn't expose another user's edit log, so no tool can hand you a literal audit trail of agency actions — but daily spend, bid, budget, and placement-mix curves make the week something moved obvious.

A good agency says: here's the change log. Ask for one as a standing deliverable if you don't get it.

9

Does the reporting we get match the raw Amazon data?

What the data shows: the same period, pulled independently. Most mismatches are innocent — a different attribution window, a date range that slid, or several marketplaces summed without converting currency — and all of them change the story.

A good agency says: the window and attribution setting are labelled on every chart, so this reconciles in a minute.

You walk out with questions, not a verdict

A scorecard puts people on the defensive. Three specific questions with numbers attached start a working session. Ask the AI to do the translation for you — it's the difference between "your ACOS reporting is misleading" and something your agency can actually act on.

The same connection keeps working after the call. Watch whether the thing you agreed on actually happened, then bring the follow-up next month.

Browse the full prompt library
AI Chat — question list
You: Turn what you found into three questions I can ask on Thursday's call. Neutral tone — I like these people.
MAP: 1. "Can we see branded and non-branded ACOS split out going forward?"
2. "$3,180 went to search terms with clicks and no orders in the last 30 days — what's the negative-keyword cadence?"
3. "Four ASINs took spend while out of stock. Can we pace advertising against inventory?"
MAP: Each one is answerable with work rather than defence, and none of them require you to have been in the account.

Six prompts to run before your next agency call

Paste these into Claude, ChatGPT, or the in-app chat once your accounts are connected. Nothing here writes to your account.

Split my Sponsored Products spend into branded and non-branded keyword
spend by month for the last 6 months. Show ACOS for each separately.
Show me every search term from the last 30 days with more than 10 clicks
and zero orders, ranked by spend. Include campaign and match type.
Which ASINs took ad spend in the last 30 days while out of stock,
suppressed, or inactive? Show the wasted spend per ASIN.
Give me TACoS by month for the last 6 months, using total Seller Central
sales rather than ad-attributed sales. Chart ad spend against total sales.
Break spend and sales down by ad product — Sponsored Products, Sponsored
Brands, Sponsored Display, DSP — for the last 90 days.
Based on everything above, write three neutrally-worded questions I can
ask my agency on our next call, each with the number that prompted it.

More where these came from: the Amazon Ads prompt library, the Seller and Vendor Central prompts, and the listing audit prompts.

What you find, and what it usually means

Almost none of these are proof of anything on their own. They're prompts for a conversation.

What you see in the data Usually means Worth escalating when
Branded share of keyword spend climbing quarter over quarter Brand defence, or an easy route to a better blended ACOS Non-branded ACOS is getting worse at the same time and nobody mentioned it
A long tail of search terms with clicks and no orders Normal discovery spend on any healthy account The same terms are still there 60 days later
Spend on out-of-stock or suppressed ASINs A gap between the ads workflow and the inventory workflow It repeats every restock cycle
Only Sponsored Products running A deliberate sequencing decision, or missing Brand Registry Nobody can say which of the two it is
Reported numbers don't reconcile with the API A different attribution window or date range The window changes between reports without being labelled
Flat account structure, no changes visible for months A stable account in maintenance mode You're paying a management fee for maintenance mode

How it works

Connect once. Ask whenever.

1

Connect your accounts

Sign in with your own Amazon Ads login, and Seller or Vendor Central if you have it. Read-only by default — write access is a separate opt-in you can decline.

2

Let history backfill

We pull your campaign, search term, and Selling Partner report history so month-over-month comparisons have something to compare against.

3

Ask in plain English

Use Claude, ChatGPT, any MCP client, or our in-app chat. Every answer can show you the report and query behind it.

4

Bring the questions

Take the list to your review call — or invite your agency into the workspace and look at the same screen together.

The best version of this is collaborative

Every plan includes unlimited seats, so adding your agency costs nothing. Plenty of agencies ask their clients to do exactly this — a shared source of numbers means the monthly call stops being about whose export is right and starts being about what to do next.

Your agency, in your workspace

Same data, same dashboards, no per-seat fee.

How agencies use MAP

Looking for an agency?

We publish the partners we work with directly.

See our partners

Rather not run it yourself?

We run accounts too, priced on ad spend rather than revenue.

Managed services

Frequently Asked Questions

No. The Amazon Ads account belongs to your business, and you connect Marketplace Ad Pros with your own Amazon login and your own permissions. Your agency's access is unaffected. We'd still suggest telling them — the goal is a better conversation on the next call, not a gotcha.

No. Marketplace Ad Pros is read-only by default. Write access is a separate opt-in during the OAuth flow, and you can leave it off permanently. If you never grant it, nothing in the account can be edited through us — no bids, no budgets, no campaign states, no negatives. How writes work, if you ever want them.

Not directly. Amazon's advertising API does not expose another user's edit history, so no third-party tool can hand you a literal change log of your agency's actions. What you can see is the footprint of the change: the day bids, budgets, placement mix, campaign counts, or targeting spend shifted, and what happened to performance in the weeks on either side. That's usually enough to ask a precise question.

It depends what you bring. Arriving with a verdict puts people on the defensive; arriving with three specific questions and the numbers behind them usually doesn't. Marketplace Ad Pros includes unlimited seats on every plan, so the most productive setup is to invite your agency into the same workspace and let both sides look at the same data.

Connecting your accounts is free. AI Connect is $10/week, or $39/month if you'd rather have one invoice, and covers 5 brands with read-only access from Claude, ChatGPT, any MCP client, or our in-app chat. If you want dashboards, alerts, and daily AI recommendations on top, the Optimization Suite starts at $149/month. Full pricing.

No. Marketplace Ad Pros has an in-app AI chat and dashboards that answer the same questions. The MCP server is there for people who already live in Claude, ChatGPT, Claude Code, or n8n and would rather ask there.

Most of the time the answer isn't a new agency, it's a better standing report and a shorter feedback loop. If you do decide to look, our Partners page lists agencies we work with directly, and we also run accounts ourselves through Managed Services. Either way, the data stays in your account and comes with you.

Walk into the next call with the numbers

Read-only by default. Free to connect. Your agency keeps doing the work — you just stop taking it on faith.

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