Amazon Backend Report
by @mguozhen
Amazon Seller Central backend data report auto-analysis agent. Automatically analyze business reports, inventory reports, advertising reports, and financial...
clawhub install amazon-backend-reportπ About This Skill
name: amazon-backend-report description: "Amazon Seller Central backend data report auto-analysis agent. Automatically analyze business reports, inventory reports, advertising reports, and financial reports from Amazon Seller Central to surface actionable insights. Triggers: amazon backend report, seller central report, business report, inventory report, amazon data analysis, seller central analytics, amazon performance report, sales report analysis, fba report, advertising report analysis, financial report" allowed-tools: Bash metadata: openclaw: homepage: https://github.com/mguozhen/amazon-backend-report
Amazon Backend Report Analyzer
Automatically analyze Amazon Seller Central reports β business performance, inventory health, advertising, and financial data β and surface the insights that matter most for your business.
Paste your exported report data. The agent processes it, identifies anomalies, highlights opportunities, and outputs a clear performance summary with prioritized action items.
Commands
report business # analyze business report (traffic + conversion)
report inventory # analyze inventory health report
report advertising # analyze advertising performance report
report financial # analyze financial/payment report
report fba # analyze FBA performance and fees
report returns # analyze returns and refunds report
report search-terms # analyze search term report from ads
report compare # compare two time periods
report digest # generate weekly management digest
report save # save analysis to workspace
What Data to Provide
Report Analysis Framework
Business Report Analysis
Key metrics in Business Report:
Column What to track Benchmark
Sessions Unique visitors Growing week-over-week
Page Views Total product page views Ratio to sessions
Buy Box % % of time you own Buy Box >90%
Units Ordered Units sold per period Week-over-week trend
Unit Session % Conversion rate >10% (varies by category)
Ordered Product Sales Revenue by ASIN Growing trend
Conversion rate diagnostic:
CVR < 5%: Listing issue β images, bullets, or price problem
CVR 5-10%: Below average β improve weakest listing element
CVR 10-15%: Good β optimize further for incremental gains
CVR > 15%: Excellent β scale traffic with ads
Sessions dropping:
Sessions growing, revenue not growing:
Inventory Health Report Analysis
Key inventory metrics:
Metric Target Action if violated
Days of Supply 30-60 days Reorder if <30 days
Inventory Age (0-90d) >90% of stock Monitor aging inventory
Inventory Age (91-180d) <10% of stock Run promotions to clear
Inventory Age (180d+) <2% of stock Deep discount or removal
Stranded Inventory 0 units Fix listing issues immediately
Unfulfillable Units 0 units Remove or dispose
Excess Inventory <30 days excess Reduce reorder quantity
Long-term storage fee risk:
Inventory planning dashboard:
ASIN | Units | Daily Sales | Days Cover | Reorder Point | Order Now?
BXXX | 450 | 15/day | 30 days | 150 units | β Yes
BYYY | 800 | 10/day | 80 days | 100 units | β No
BZZZ | 50 | 5/day | 10 days | 75 units | π¨ Urgent
Advertising Report Analysis
Search Term Report (most important ad report):
Analysis steps:
1. Sort by Spend descending β find where budget is going
2. Find terms with high spend, zero conversions β Negative match
3. Find terms with conversions, good ACOS β Add to Exact campaign
4. Find terms with high impressions, 0 clicks β Review bid or relevance
5. Compute true ACOS per term: Ad Spend / Ad Sales Γ 100
ACOS benchmarks by action:
ACOS < 15%: Raise bids β underinvesting in profitable keywords
ACOS 15-25%: Maintain β at break-even or profitable range
ACOS 25-35%: Review β marginal, may be justified for ranking
ACOS > 35%: Reduce bids or pause β unprofitable
Campaign performance buckets:
Bucket ACOS Impressions Conversions
Stars: <20% High High β Scale budget
Cash Cows: <20% Low Moderate β Increase bids
Potential: 20-35% High Low β Improve listing
Underperformers: >35% Any Low β Reduce or pause
Financial Report Analysis
Key financial metrics:
Metric Formula Target
Gross Revenue Sum of product sales β
Amazon Fees Referral + FBA + storage + ads <40% of revenue
Returns/Refunds Refund amount / gross revenue <5%
Net Revenue Gross - Returns - Fees β
Net Margin Net Revenue / Gross Revenue >20%
Fee percentage benchmarks by category:
Category Referral FBA Total Fees Net Margin Target
Electronics 8% $5-8 18-22% >25%
Home & Kitchen 15% $4-6 22-26% >20%
Clothing 17% $3-5 22-26% >20%
Beauty 15% $3-5 21-25% >22%
Cash flow planning:
Disbursement cycle: Every 14 days (typically)
Reserved amount: Amazon holds ~7 days of sales as reserve
Working capital needed: 45-60 days of COGS (production + freight + reserve)
Weekly Management Digest Format
WEEK OF [DATE] β PERFORMANCE DIGESTπ REVENUE
This week: $XX,XXX | Last week: $XX,XXX | Change: +/-X%
YTD: $XXX,XXX | YTD goal: $XXX,XXX | On track: Yes/No
π¦ INVENTORY
Total units: X,XXX | Days of supply: XX days
β Low stock: [ASIN list]
π¨ Urgent reorder: [ASIN list]
π’ ADVERTISING
Ad spend: $X,XXX | ACOS: XX% | ROAS: X.Xx
Best performer: [term] at X% ACOS
Worst performer: [term] at X% ACOS β ACTION NEEDED
β ALERTS
[List of any anomalies detected]
β
TOP 3 ACTIONS THIS WEEK
1. [Highest priority action]
2. [Second priority]
3. [Third priority]
Workspace
Creates ~/backend-reports/ containing:
business/ β business report analyses by periodinventory/ β inventory health trackingadvertising/ β ad performance archivesfinancial/ β financial summariesdigests/ β weekly management digestsOutput Format
Every report analysis outputs: 1. Performance Summary β key metrics vs. prior period with trend indicators 2. Anomaly Detection β unusual patterns that require attention 3. Inventory Status β stock health with specific reorder actions 4. Ad Performance β ACOS summary with specific optimization actions 5. Financial Health β margin and fee analysis 6. Priority Action List β top 5 actions ranked by expected business impact 7. Next Week Forecast β projected performance based on current trends