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    Amazon Sellers Assistant

    1

    the Skill Running an Amazon business means making decisions across multiple systems that directly affect one another.

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    Amazon Sellers Assistant

    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 orders759
    Clicks8,734
    Impressions1,087,000
    Account CTR0.80%
    Average CPC$1.01
    Conversion rate8.69%
    Account ACoS32.84%
    Account ROAS3.04
    CampaignPrevious Period ACoSRecent 14-Day ACoSDirection
    Exact Core Keywords30%24%Improving
    Exact Long-Tail24%19%Improving
    Broad Discovery64%74%Deteriorating
    Auto Discovery51%39%Improving
    Competitor Targeting63%73%Deteriorating
    Category Targeting39%33%Improving
    Branded Defense10%12%Stable
    High-Intent Winners29%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.

    1. 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.

    1. 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.

    1. Budget Waste and Opportunity Detection
    Campaign30-day ACoSSpend/orderSpend shareSales shareEvidence-based interpretation
    Exact Core27.0%$9.5919.0%23.1%Efficient, improving, moderate constraint
    Exact Long-Tail21.0%$7.467.6%11.9%Strong scale candidate
    Broad Discovery69.7%$24.7520.1%9.5%Major inefficiency, deteriorating
    Auto Discovery45.0%$15.9715.3%11.2%Above break-even, but improving
    Competitor Targeting69.9%$24.8012.3%5.8%Major inefficiency, deteriorating
    Category Targeting36.0%$12.789.8%9.0%Below break-even, above target
    Branded Defense11.0%$3.915.3%15.8%Protect; modest additional headroom
    High-Intent Winners25.0%$8.8710.5%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.

    1. 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.

    1. Budget Action Classification
    CampaignCurrentInitial 7-day budgetConditional second-stage budgetClassification
    Exact Core$60$70$75Scale gradually
    Exact Long-Tail$24$30$34Scale gradually
    Broad Discovery$80$65$55Reduce and tighten traffic
    Auto Discovery$55$50$45Controlled reduction; diagnose
    Competitor Targeting$50$35$30Reduce and tighten targets
    Category Targeting$35$35$35Keep stable
    Branded Defense$17$20$20Protect with modest increase
    High-Intent Winners$33$49$60Primary scale candidate
    Total$354$354$354Zero-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.

    1. 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.
    2. 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.

    1. 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

    Generated

    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

    Audit PPC search terms to negate waste and harvest high-converting queries.Analyze SKU unit economics to find fee-driven margin leaks and price pressure.Detect carrier overcharges and inventory loss for reimbursement claims.Translate Amazon winning themes into Shopify and TikTok Shop product listings.PPC Waste InvestigationSearch Term CleanupSKU ProfitabilityCompetitor ResearchListing OptimizationSupplier Negotiation

    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

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    ~30 seconds
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      Ask your agent to use it

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