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Amazon Sellers Assistant
the Skill Running an Amazon business means making decisions across multiple systems that directly affect one another.
$10
Amazon Sellers Assistant
Example session with this skill installed
First Message
I sell products on Amazon and i need your help with PPC budget reallocation.
Second Message
{Here provided also the CVS file of the Campaign Data}
Marketplace: Amazon US
Category: Home & Kitchen
Primary product ASP: $35.50
Analysis period: Last 30 days
Ad type: Sponsored Products
Optimization objective: improve efficiency while protecting sales volume
Target ACoS: 28%
Break-even ACoS: 38%
Total current daily budget: $354/day
Maximum allowed daily budget: $354/day — cannot increase total funding
Available inventory: 2,250 units
Average total product sales: ~35 units/day
Estimated inventory cover: ~64 days
No major stockout is currently expected.
Account Totals
| Metric Result | |
|---|---|
| Total daily budget | $354 |
| 30-day spend | $8,849.17 |
| Ad-attributed sales | $26,944.50 |
| Ad orders | 759 |
| Clicks | 8,734 |
| Impressions | 1,087,000 |
| Account CTR | 0.80% |
| Average CPC | $1.01 |
| Conversion rate | 8.69% |
| Account ACoS | 32.84% |
| Account ROAS | 3.04 |
| CampaignPrevious Period ACoSRecent 14-Day ACoSDirection | |||
|---|---|---|---|
| Exact Core Keywords | 30% | 24% | Improving |
| Exact Long-Tail | 24% | 19% | Improving |
| Broad Discovery | 64% | 74% | Deteriorating |
| Auto Discovery | 51% | 39% | Improving |
| Competitor Targeting | 63% | 73% | Deteriorating |
| Category Targeting | 39% | 33% | Improving |
| Branded Defense | 10% | 12% | Stable |
| High-Intent Winners | 29% | 22% | Improving |
- Read your context and instructions
- Compiled the amazon sellers assistant
- Generated the data export
{First Response}:
I’m using the Amazon Sellers Assistant skill because PPC reallocation depends on campaign economics, targeting roles, and constraints—not just ACOS. I’ll structure the minimum data needed, then turn it into a defensible reallocation plan.
Yes. Upload your Amazon Ads Campaign report for the last 30–60 days—CSV/XLSX preferred. I’ll analyze it using the PPC Budget Reallocation workflow.
Also provide
Marketplace and currency
Campaign types: Sponsored Products, Brands, Display, or mixed
Target ACoS and, if known, break-even ACoS
Total daily/monthly PPC limit
Any campaigns with a special purpose: launch, ranking, brand defense, discovery, or competitor targeting
If available: budget utilization or out-of-budget data
The campaign report should ideally contain:
Campaign | Daily Budget | Spend | Sales | Orders | Clicks | Impressions | ACoS | ROAS
I’ll classify each campaign into
Reduce or control spend
Keep stable
Protect budget
Reallocate budget
Scale gradually
Investigate bids, targeting, placements, or conversion before changing budget
If you only have screenshots or pasted figures, send those—I can still perform a directional review, but exact reallocation amounts require current budgets and performance data.
{Second Response}:
I’m applying the Amazon PPC Budget Reallocation workflow and the spreadsheet-analysis workflow to the uploaded campaign data. I’ll first reconcile the CSV against your stated account totals, then build a zero-sum daily budget plan capped at exactly $354 while protecting profitable sales volume.
- Scope and Assumptions
Analyzed eight Sponsored Products campaigns from the supplied
amazon_ppc_campaign_data(1).csv, covering the last 30 days.
The CSV reconciles exactly with your account totals:
Budget: $354/day
Spend: $8,849.17
Sales: $26,944.50
Orders: 759
ACoS: 32.84%
ROAS: 3.04
Average actual spend: $294.97/day, or approximately 83.3% of available daily budgets
Economic thresholds based on the $35.50 ASP:
Target spend per ad order: $9.94
Break-even spend per ad order: $13.49
Current account spend per ad order: $11.66
The account is profitable against the supplied break-even ACoS, but misses the 28% operating target.
At current sales, achieving 28% ACoS would require approximately $1,304.71 less spend over 30 days. Alternatively, maintaining current spend would require approximately $4,659.68 more attributed sales. The recommended approach is to redirect exposure before attempting a full spend reduction.
- Budget Performance Snapshot
The account’s problem is concentrated rather than account-wide.
Core Exact, Long-Tail, Branded Defense, and High-Intent Winners generated 64.6% of sales from only 42.4% of spend, at a blended ACoS of approximately 21.6%.
Broad Discovery and Competitor Targeting consumed 32.5% of spend but generated only 15.3% of sales, at a blended ACoS of approximately 69.8%.
Category Targeting is above target but below break-even and improving.
Auto Discovery remains above break-even on the 30-day view, although its recent 14-day ACoS improved to 39%.
Budget availability is clearly constraining the four efficient Exact campaigns at least intermittently: they hit budget early on 8–14 days and used 92–94% of available budgets.
Broad and Competitor campaigns hit budget early on zero days. Their poor results therefore are not caused by insufficient funding.
- Budget Waste and Opportunity Detection
| Campaign | 30-day ACoS | Spend/order | Spend share | Sales share | Evidence-based interpretation |
|---|---|---|---|---|---|
| Exact Core | 27.0% | $9.59 | 19.0% | 23.1% | Efficient, improving, moderate constraint |
| Exact Long-Tail | 21.0% | $7.46 | 7.6% | 11.9% | Strong scale candidate |
| Broad Discovery | 69.7% | $24.75 | 20.1% | 9.5% | Major inefficiency, deteriorating |
| Auto Discovery | 45.0% | $15.97 | 15.3% | 11.2% | Above break-even, but improving |
| Competitor Targeting | 69.9% | $24.80 | 12.3% | 5.8% | Major inefficiency, deteriorating |
| Category Targeting | 36.0% | $12.78 | 9.8% | 9.0% | Below break-even, above target |
| Branded Defense | 11.0% | $3.91 | 5.3% | 15.8% | Protect; modest additional headroom |
| High-Intent Winners | 25.0% | $8.87 | 10.5% | 13.8% | Strongest non-brand scaling opportunity |
The biggest reallocation opportunity is moving budget authority from Broad Discovery and Competitor Targeting toward High-Intent Winners, Long-Tail, and Core Exact.
Branded Defense is exceptionally efficient, but branded demand is finite and some sales may be defensive or partially cannibalized. It should receive protection and modest additional headroom, not the largest increase.
- Root-Cause Diagnosis
Broad Discovery
Observed: 0.58% CTR, 4.36% CVR, 69.7% ACoS, and recent deterioration to 74%.
Likely cause: weak query relevance or excessive bid exposure across low-intent searches.
Alternative explanation: intentional discovery activity that produces valuable search-term learning.
Confirmation needed: search-term report, bid levels, and harvested-term history.
Competitor Targeting
Observed: highest CPC at $1.24, only 5.0% CVR, 69.9% ACoS, and deterioration to 73%.
Likely cause: expensive conquesting traffic with weak product-page conversion.
Alternative explanation: deliberate competitive visibility or ranking objective.
Confirmation needed: target-level ASIN results and placement performance.
Auto Discovery
Observed: 45.0% 30-day ACoS but 39% recent ACoS.
Interpretation: still economically weak, but improvement argues against an aggressive cut before reviewing individual search terms.
Confirmation needed: performance by close match, loose match, substitutes, and complements.
Exact campaigns
Observed: target-level efficiency, meaningful order volumes, improving trends, high utilization, and repeated early budget exhaustion.
Likely conclusion: genuine reallocation candidates, although additional budget will only help if sufficient eligible traffic remains.
- Budget Action Classification
| Campaign | Current | Initial 7-day budget | Conditional second-stage budget | Classification |
|---|---|---|---|---|
| Exact Core | $60 | $70 | $75 | Scale gradually |
| Exact Long-Tail | $24 | $30 | $34 | Scale gradually |
| Broad Discovery | $80 | $65 | $55 | Reduce and tighten traffic |
| Auto Discovery | $55 | $50 | $45 | Controlled reduction; diagnose |
| Competitor Targeting | $50 | $35 | $30 | Reduce and tighten targets |
| Category Targeting | $35 | $35 | $35 | Keep stable |
| Branded Defense | $17 | $20 | $20 | Protect with modest increase |
| High-Intent Winners | $33 | $49 | $60 | Primary scale candidate |
| Total | $354 | $354 | $354 | Zero-sum allocation |
The second-stage allocation is conditional. Do not move directly to it without reviewing the first seven days.
Budget increases represent available headroom, not guaranteed spend or sales. Because the account currently spends only about $295 of its $354 combined daily limits, the receiving campaigns may not consume the additional budgets fully.
- Prioritized Budget Action Plan
Implement the initial seven-day allocation
Urgency: High
Confidence: High
Expected effect: Better allocation and controlled scaling
Reallocate $30/day away from Broad and Competitor Targeting, $5 from Auto, and distribute that headroom across efficient Exact campaigns.
Tighten Broad and Competitor traffic simultaneously
Urgency: High
Confidence: High
Expected effect: Waste reduction
Budget reductions alone are insufficient because neither campaign regularly reaches its current limit. Review bids, search terms, product targets, and placements immediately.
Advance to the second-stage budget only if performance holds
Urgency: Medium
Confidence: Medium
Expected effect: Scale opportunity
Advance efficient campaigns when their rolling performance remains at or below the 28% target with meaningful order volume and no material conversion deterioration.
Pause or reverse the latest increase if a scaled campaign moves above the 38% break-even threshold on adequate data.
Keep Category stable
Urgency: Medium
Confidence: Medium
Expected effect: Sales-volume protection
Its 36% 30-day ACoS is below break-even and the recent result improved to 33%. It does not yet justify either scaling or a hard cut.
Treat Auto as a harvesting problem before a budget problem
Urgency: Medium
Confidence: Medium
Expected effect: Efficiency improvement
Extract profitable terms into Exact campaigns and reduce poor match-type exposure. The recent improvement makes an immediate severe budget reduction premature. - What to Monitor Next
Review performance after seven full days using the same attribution basis:
Actual spend versus the new campaign budgets
Days hitting budget early
ACoS, CPC, CVR, orders, and spend per order
Incremental order absorption in Core, Long-Tail, and High-Intent
Whether Branded Defense can use its additional $3 without CPC inflation
Broad and Competitor spend after target and bid controls
Search terms migrated from Auto/Broad into Exact
Total product sales volume, not just ad-attributed orders
Inventory is currently sufficient for controlled scaling. At approximately 35 units/day, cover is about 64 days. If total sales accelerate materially, recalculate coverage against supplier lead time before continuing the second-stage increases.
- Executive Budget Summary
Main waste finding: Broad Discovery and Competitor Targeting use 32.5% of spend for only 15.3% of sales, with ACoS near 70%.
Main reallocation opportunity: Redirect campaign headroom toward Core Exact, Long-Tail, and High-Intent Winners.
Biggest scale opportunity: High-Intent Winners, supported by 25% ACoS, 105 orders, 94.1% utilization, and 14 early-budget days.
Most urgent action: Apply the initial zero-sum allocation and tighten Broad/Competitor traffic controls concurrently.
Principal limitation: Campaign-level data cannot identify the specific queries, targets, bids, or placements causing waste.
Overall budget condition: Mixed—commercially viable overall, but materially misallocated between efficient Exact traffic and weak discovery/conquesting traffic.
amazon-sellers-assistant.csv
CSV · data export
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
About the Skill
Running an Amazon business means making decisions across multiple systems that directly affect one another.
Advertising influences sales, but sales alone do not prove profitability.
Pricing affects conversion, but conversion can also be damaged by reviews, images, variation structure, stock availability, or fulfillment.
Supplier pricing affects margin, but the cheapest unit cost may become expensive after freight, MOQ, payment terms, inventory exposure, and working-capital requirements.
Competitor reviews contain valuable customer intelligence, but turning hundreds of complaints into a practical positioning or product strategy requires more than summarization.
The problem is therefore not simply having access to information.
It is connecting the right information to the right decision.
Amazon Sellers Assistant is designed to do exactly that.
It combines 10 specialized analytical workflows inside one integrated skill. Each workflow addresses a different Amazon seller problem using its own evidence rules, calculations, diagnostic logic, decision framework, and action structure.
These include:
- PPC Waste Audit Framework
- Search Term Triage & Scaling Framework
- Budget Reallocation & Scaling Framework
- Unit Economics & Margin Leak Framework
- Competitor Sentiment & Differentiation Framework
- Semantic Listing Readiness Framework
- Catalog & Review Recovery Framework
- Shipping & Inventory Discrepancy Framework
- Supplier Negotiation & Landed-Cost Framework
- Cross-Platform Insight Translation Framework
The skill can move from a broad question such as:
“Why is this product becoming less profitable?”
to determining whether the evidence points toward:
Amazon fee pressure advertising burden rising product cost fulfillment costs storage exposure discounting refunds logistics leakage supplier economics or another visible cost layer
Likewise, a question such as:
“Why did sales drop?”
does not automatically become an advertising problem.
The skill can help determine whether the evidence instead points toward:
search-term quality campaign efficiency budget allocation listing conversion competitor positioning review loss catalog changes price inventory offer health or another operational factor.
This is what separates the skill from a collection of isolated Amazon prompts.
It is designed to function as a seller decision system, identifying the actual decision being made, selecting the correct analytical framework, and connecting related business signals when they materially affect the conclusion.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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