What data do I need for an Amazon PPC diagnosis?

Start with campaign and search-term reports for the same marketplace and date range, plus spend, clicks, orders, attributed sales, attribution window, and product contribution economics. Placement, advertised-product, purchased-product, inventory, price, promotion, and retail conversion reports improve the diagnosis. Missing fields are explicitly marked unknown.

Does a low ACOS mean the campaign is profitable?

Not by itself. ACOS compares ad spend with attributed sales, not contribution or incremental profit. The agent needs complete product economics and the correct sales scope to estimate break-even thresholds, and it flags attribution and omitted-cost uncertainty.

Will the agent change my Amazon campaigns automatically?

No. It prepares an evidence-backed change brief with rationale, guardrails, monitoring, and rollback for human approval. It does not sign in to Amazon Ads or Seller Central, edit bids, budgets, targets, or negatives, or launch campaigns.

Amazon PPC Profit Doctor — Find Ad Waste

Example session with this skill installed

Diagnose this clearly labeled sample Amazon Sponsored Products campaign for marketplace US, USD, April 1–30. Report totals: 2,000 impressions, 40 clicks, $60 ad spend, 4 orders, $200 attributed sales. Verified product economics: net selling revenue $50/order and contribution before ads $20/order after variable costs. Attribution window is reported as mature. Objective: contribution profit, with inventory healthy. Separate what the data shows from what it cannot prove; compute CTR, CPC, order CVR, ACOS, ROAS, break-even ACOS, and contribution after ad spend. Give a cautious action plan, data gaps, guardrails, and rollback. These are illustrative sample inputs, not live account data.

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Compiled the amazon ppc profit

Amazon PPC Profit Doctor — Sample Diagnosis

Scope: The following calculations use only the illustrative figures in the request. They do not describe a live Amazon account. Contribution assumes the supplied $20 per order is correctly calculated before advertising and the $200 attributed sales equals four $50 orders.

Metric check

Metric	Calculation	Result
CTR	40 / 2,000	2.0%
CPC	$60 / 40	$1.50
Order CVR	4 / 40	10.0%
ACOS	$60 / $200	30.0%
ROAS	$200 / $60	3.33x
Break-even ACOS	$20 / $50	40.0%
Contribution before ads	4 × $20	$80
Contribution after ad spend	$80 − $60	$20

Diagnosis

On the supplied attributed-order economics, this small example is above break-even by $20 before any omitted costs. The observed ACOS is below the 40% break-even reference. This does

not establish incremental profit: attributed sales can include demand that would have occurred organically, and the campaign-level aggregate does not reveal which queries or targets created the result.

Recommended next steps

Reconcile these totals to the original campaign and search-term reports; verify currency, date range, campaign type, attribution window, returns, discounts, and fees.
Review search terms and targets separately. Label low-volume rows as insufficient evidence; do not negate a relevant query based only on a few clicks.
Inspect placement, CPC, budget status, retail readiness, stock cover, and concurrent price or promotion changes before adjusting bids.
If underlying terms remain relevant and mature, test modest bid or budget changes on the strongest supported segment; do not scale the whole campaign from aggregate data.
Record baseline, change, date, and guardrails; monitor spend, orders, contribution, query mix, and stock for a pre-set window. Roll back if economics or inventory breach the agreed limits.

Confidence: LOW. No search-term, target, placement, inventory quantity, or incrementality data was supplied. A specific keyword, negative, bid, budget, or profitability claim cannot be justified yet.

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About this skill

Amazon PPC Profit Doctor turns Amazon Ads and retail reports into cautious, profit-aware decisions. It validates marketplace, currency, date range, report type, attribution window, and row semantics before interpreting performance. It distinguishes targets from customer search terms and attributed sales from incremental sales, and it never fabricates campaign state, query volume, CPC, rank, or private account metrics.

Provide campaign, targeting, search-term, placement, advertised-product, purchased-product, business, inventory, and margin reports where available. The agent reconciles totals, defines metric formulas, calculates contribution before and after ads when cost data supports it, and checks retail readiness before recommending bid or budget changes. It identifies waste conservatively, query-harvesting candidates, relevant negatives, scalable opportunities, overlap, placement issues, inventory risks, and campaign-structure improvements.

Recommendations are ranked by expected value, evidence quality, confidence, reversibility, and risk. Each change brief includes the target, current state, proposed action, rationale, exact supported setting, guardrails, measurement window, and rollback. Small samples and immature attribution are flagged. Launch, mature-profit, rank-support, cash-flow, agency, batch, and white-label workflows adapt to the stated objective.

The agent prepares analysis and change plans for human review; it does not access private Amazon Ads or Seller Central data unless the user provides authorized reports or a supported connection. It does not make changes, promise profitability or ranking, encourage click fraud or fake reviews, or advise policy evasion. Verify current platform rules before implementation.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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Amazon PPC Profit Doctor — Find Ad Waste