Amazon Seller Central is the control center for every third-party seller on the world's largest e-commerce marketplace. Whether you're managing a handful of products or a catalog of thousands, understanding the full landscape of Seller Central dimensions and metrics is essential for optimizing listings, managing inventory, maintaining account health, and maximizing profitability.
This guide provides a complete reference of every key dimension and metric available in Amazon Seller Central as of 2026. We cover product identifiers, order data, traffic analytics, conversion metrics, inventory management, returns, account health scores, and FBA-specific metrics — with field names and practical guidance.
What Are Dimensions vs Metrics in Amazon Seller Central?
Understanding the distinction between dimensions and metrics in Seller Central helps you build better reports and make data-driven decisions about your Amazon business.
Dimensions are descriptive attributes that identify and categorize your data. In Seller Central, these include ASIN, SKU, product title, brand, category, fulfillment channel, order ID, and marketplace. Dimensions answer: "What product, order, or segment am I analyzing?"
Metrics are quantitative measurements of business performance. These include units ordered, sessions, conversion rate (unit session percentage), buy box percentage, ordered product sales, and inventory levels. Metrics answer: "How is my Amazon business performing?"
Product and ASIN Dimensions
Every product on Amazon is identified by a set of dimensions that describe what it is, where it fits in the catalog, and how it's fulfilled. These dimensions form the primary axes for slicing your Seller Central data.
| Dimension | Field Name | Description |
|---|---|---|
| ASIN | asin | Amazon Standard Identification Number — unique 10-character alphanumeric ID for each product |
| SKU | sku | Seller-defined Stock Keeping Unit — your internal product identifier |
| Product Title | product-name | Full title of the product listing (up to 200 characters) |
| Brand | brand | Brand name registered on the listing |
| Category | product-group | Amazon browse category the product is listed in |
| Subcategory | item-classification | More specific classification within the main category |
| Fulfillment Channel | fulfillment-channel | How the product is fulfilled: FBA (Fulfillment by Amazon) or FBM (Fulfilled by Merchant) |
| Condition | item-condition | Product condition: New, Renewed, Used - Like New, Used - Good, etc. |
| Price | price | Current listing price for the product |
| Status | status | Listing status: Active, Inactive, Suppressed, Incomplete |
| UPC / EAN | product-id | Universal Product Code or European Article Number barcode |
| Size Tier | size-tier | FBA size classification: Small Standard, Large Standard, Small Oversize, Large Oversize |
| Marketplace | marketplace-id | Amazon marketplace: US, UK, DE, FR, JP, etc. |
Order Dimensions
Order dimensions describe individual customer orders — their identity, timing, status, and fulfillment details. These dimensions let you analyze order patterns and operational performance.
| Dimension | Field Name | Description |
|---|---|---|
| Order ID | amazon-order-id | Unique Amazon-assigned identifier for each order |
| Order Date | purchase-date | Date and time the order was placed by the customer |
| Order Status | order-status | Current state: Pending, Unshipped, Shipped, Cancelled, Returned |
| Ship Service Level | ship-service-level | Shipping speed selected: Standard, Expedited, Priority, Same-Day |
| Fulfillment Channel | fulfillment-channel | FBA (Amazon fulfills) or MFN (Merchant fulfills) |
| Ship Country | ship-country | Destination country for the order |
| Ship State | ship-state | Destination state or region |
| Ship City | ship-city | Destination city |
| Is Business Order | is-business-order | Whether the order was placed through Amazon Business |
| Is Prime | is-prime | Whether the order was fulfilled as a Prime delivery |
Core Order Metrics
Core metrics measure the fundamental sales output of your Amazon business — how many units are selling, at what revenue, and through how many orders. These are the primary metrics in Seller Central's Business Reports.
| Metric | Report Field | Description | Formula / Notes |
|---|---|---|---|
| Units Ordered | units-ordered | Total number of units ordered by customers | Includes all unit quantities regardless of order status |
| Ordered Product Sales | ordered-product-sales | Total revenue from ordered products | Units ordered × item price — includes orders not yet shipped |
| Total Order Items | total-order-items | Total number of order line items | Different from units — one order item can contain multiple units |
| Units Shipped | units-shipped | Total units that have actually been shipped | Excludes pending and cancelled orders |
| Shipped Product Sales | shipped-product-sales | Revenue from shipped orders only | More accurate for financial reporting than ordered product sales |
| Average Selling Price | Calculated | Mean revenue per unit ordered | Ordered Product Sales ÷ Units Ordered |
| Average Units Per Order | Calculated | Mean units per order line item | Units Ordered ÷ Total Order Items |
Traffic Metrics
Traffic metrics measure how customers find and visit your product listings. These metrics are available in the Business Reports > Detail Page Sales and Traffic report and are critical for understanding your product's visibility and discoverability on Amazon.
| Metric | Report Field | Description | Formula / Notes |
|---|---|---|---|
| Sessions | sessions | Unique visitors to your product page within a 24-hour period | One customer visiting 5 times in a day = 1 session |
| Page Views | page-views | Total product page loads including repeat visits | Same customer viewing 5 times = 5 page views |
| Page Views Per Session | Calculated | Average page views per unique visitor session | Page Views ÷ Sessions — higher ratio indicates repeat browsing |
| Buy Box Percentage | buy-box-percentage | Percentage of page views where your offer held the buy box | Most critical traffic metric — 80-90% of purchases go through the buy box |
| Session Percentage | session-percentage | Your ASIN's share of total account sessions | Helps identify which products drive the most traffic to your account |
| Page Views Percentage | page-views-percentage | Your ASIN's share of total account page views | Useful for comparing relative traffic across your catalog |
Conversion Metrics
Conversion metrics measure how effectively your product listings turn visitors into buyers. These are among the most important metrics in Seller Central because improving conversion directly increases revenue without requiring more traffic.
| Metric | Report Field | Description | Formula / Notes |
|---|---|---|---|
| Unit Session Percentage | unit-session-percentage | Amazon's primary conversion rate: units ordered per session | (Units Ordered ÷ Sessions) × 100 — the single most important conversion metric |
| Order Item Session Percentage | order-item-session-percentage | Order items per session | (Total Order Items ÷ Sessions) × 100 — lower than unit session % because multi-unit orders count as one item |
| Buy Box to Conversion Rate | Calculated | How often buy box impressions result in purchases | Helps isolate listing quality from buy box competitiveness |
| Add-to-Cart Rate | Brand Analytics | Percentage of sessions where the product was added to cart | Available in Brand Analytics for brand-registered sellers |
| Purchase Rate | Brand Analytics | Percentage of sessions that resulted in a purchase | Available in Brand Analytics — similar to unit session % but from a different data source |
Inventory Metrics
Inventory metrics track the availability and health of your stock. Poor inventory management leads to stockouts (lost sales), overstock (excess fees), or stranded inventory (stuck product). These metrics are critical for maintaining profitability and consistent sales velocity.
| Metric | Report / Dashboard | Description |
|---|---|---|
| Available Units | Manage Inventory | Current units available for sale (in stock) |
| Inbound Units | FBA Inventory | Units currently in transit to Amazon fulfillment centers |
| Reserved Units | FBA Inventory | Units reserved for pending orders, transfers between FCs, or processing |
| Unfulfillable Units | FBA Inventory | Units that cannot be sold (damaged, defective, customer returns in inspection) |
| Days of Supply | Restock Inventory | Estimated number of days current inventory will last based on recent sales velocity |
| Sell-Through Rate | Inventory Dashboard | Units sold and shipped over the past 90 days ÷ Average units in FBA inventory |
| Stranded Inventory | Fix Stranded Inventory | FBA units that are in stock but not available for sale due to listing issues |
| Stranded Inventory Percentage | Calculated | (Stranded Units ÷ Total FBA Units) × 100 |
| Inventory Performance Index (IPI) | Inventory Dashboard | Amazon's composite score (0-1000) measuring overall inventory management — below 400 triggers storage limits |
| Excess Inventory Units | Inventory Age | Units exceeding 90 days of supply based on forecasted demand |
| Inventory Age (Days) | Inventory Age | Average number of days units have been stored in Amazon fulfillment centers |
| Restock Recommendation | Restock Inventory | Amazon's recommended units to send based on sales velocity and lead time |
Return and Refund Metrics
Return metrics track products sent back by customers and the associated financial impact. High return rates signal product quality issues, listing accuracy problems, or packaging deficiencies that need to be addressed.
| Metric | Description |
|---|---|
| Total Return Units | Total units returned by customers in the period |
| Return Rate | (Units Returned ÷ Units Shipped) × 100 |
| Refund Amount | Total monetary value refunded to customers |
| Refund Rate | (Refund Amount ÷ Shipped Product Sales) × 100 |
| Return Reason: Not as Described | Returns where the product did not match the listing description |
| Return Reason: Defective | Returns due to product defects or quality issues |
| Return Reason: No Longer Needed | Returns where the customer changed their mind |
| Return Reason: Wrong Item | Returns where the wrong product was received |
| Return Reason: Arrived Too Late | Returns due to delivery arriving after the expected date |
| Return Dissatisfaction Rate | Percentage of returns where the customer was dissatisfied with the return experience |
| FBA Return Units (Sellable) | Returned units in sellable condition — automatically restocked by Amazon |
| FBA Return Units (Unsellable) | Returned units in unsellable condition — require removal or disposal |
Account Health Metrics
Account health metrics are Amazon's performance standards for third-party sellers. Failing to meet these thresholds can result in warnings, listing deactivation, or full account suspension. These are non-negotiable operational metrics that every seller must monitor continuously.
| Metric | Threshold | Description |
|---|---|---|
| Order Defect Rate (ODR) | < 1% | Percentage of orders with defects: negative feedback, A-to-Z Guarantee claims, or credit card chargebacks |
| Late Shipment Rate | < 4% | Percentage of seller-fulfilled orders shipped after the expected ship date |
| Pre-Fulfillment Cancellation Rate | < 2.5% | Percentage of orders cancelled by the seller before shipment |
| Valid Tracking Rate | > 95% | Percentage of seller-fulfilled orders with a valid tracking number uploaded |
| On-Time Delivery Rate | > 97% | Percentage of orders delivered by the promised date |
| Customer Service Dissatisfaction Rate | Monitor trend | Percentage of customer contacts where the customer was dissatisfied with the resolution |
| Negative Feedback Rate | Monitor trend | Percentage of orders that received negative seller feedback (1-2 stars) |
| A-to-Z Guarantee Claim Rate | Monitor trend | Percentage of orders with A-to-Z Guarantee claims filed by customers |
| Intellectual Property Complaints | 0 target | Number of IP infringement complaints received |
| Product Authenticity Complaints | 0 target | Number of complaints about product authenticity or counterfeiting |
| Listing Policy Violations | 0 target | Number of listing policy violations (restricted products, prohibited claims) |
FBA Metrics
FBA (Fulfillment by Amazon) metrics track the operational and financial aspects of having Amazon store, pick, pack, and ship your products. Understanding these metrics is essential for maintaining profitability with FBA since fees can significantly erode margins.
| Metric | Description |
|---|---|
| Monthly Storage Fee | Fee charged per cubic foot of inventory stored — standard rate Jan-Sep, premium rate Oct-Dec |
| Long-Term Storage Fee (181-365 days) | Surcharge on units stored between 181 and 365 days in fulfillment centers |
| Long-Term Storage Fee (365+ days) | Higher surcharge on units stored over 365 days — also called aged inventory surcharge |
| FBA Fulfillment Fee Per Unit | Pick, pack, and ship fee per unit — varies by size tier and weight |
| Referral Fee | Amazon's commission per sale — typically 8-15% depending on category |
| Removal Order Cost | Fee to return or dispose of inventory from FBA warehouses |
| Disposal Fee | Fee for Amazon to destroy unsellable or unwanted inventory |
| Inventory Performance Index (IPI) | Composite score (0-1000) based on sell-through, excess inventory, stranded inventory, and in-stock rate |
| FBA In-Stock Rate | Percentage of time your FBA products are in stock and available to buy |
| Aged Inventory Units (90-180 days) | Units stored between 90 and 180 days — approaching long-term storage surcharges |
| Aged Inventory Units (181-365 days) | Units incurring the first tier of long-term storage surcharges |
| Aged Inventory Units (365+ days) | Units incurring the highest long-term storage surcharges |
| Estimated FBA Fee Per Unit | Projected total FBA fee per unit including fulfillment and monthly storage |
| Net Profit Per Unit | Selling Price - (Product Cost + FBA Fees + Referral Fee + Other Costs) |
Brand Analytics Metrics
Brand Analytics is available exclusively to brand-registered sellers on Amazon. It provides aggregated marketplace data that goes beyond your own listing performance, giving you competitive intelligence and market-level insights.
| Metric | Description |
|---|---|
| Search Frequency Rank | Ranking of search terms by popularity — lower number means more frequently searched |
| Click Share | Percentage of total clicks your ASIN receives for a given search term |
| Conversion Share | Percentage of total purchases your ASIN captures for a given search term |
| Top 3 ASINs per Search Term | The three ASINs that receive the most clicks for each search term |
| Market Basket Analysis | Products most frequently purchased together with your product in the same order |
| Item Comparison and Alternative Purchase | Products customers viewed on the same day as yours and what they ultimately purchased |
| Repeat Purchase Behavior | Percentage of customers who purchased your product more than once |
| Demographics | Age, income, education, gender, and marital status of customers who purchased your products |
Advertising Integration Metrics
While Amazon Ads (PPC) has its own dedicated reporting, several Seller Central metrics directly intersect with advertising performance. Understanding this connection helps you evaluate the true impact of your ad spend.
| Metric | Description |
|---|---|
| Total Sessions (Organic + Paid) | Seller Central sessions include traffic from both organic search and sponsored ads |
| TACoS (Total ACoS) | (Ad Spend ÷ Total Revenue) × 100 — measures ad efficiency relative to total business, not just ad-attributed sales |
| Organic Rank Position | Your listing's position in organic (non-sponsored) search results for key search terms |
| Organic vs Paid Session Split | Estimated ratio of traffic from organic search versus PPC campaigns |
| Halo Effect | Increase in organic sales observed during and after running sponsored ads |
How to Use These Metrics for Amazon Business Optimization
With dozens of metrics across multiple dashboards and reports, knowing which to prioritize for each business goal is what separates successful Amazon sellers from those who drown in data.
For increasing sales revenue
Focus on buy box percentage first — if you don't own the buy box, nothing else matters because 80-90% of sales flow through it. Then optimize unit session percentage (conversion rate) through better images, A+ content, reviews, and competitive pricing. Finally, drive more sessions through SEO optimization of titles, bullets, and backend keywords. The revenue formula is: Sessions × Buy Box % × Conversion Rate × Average Price = Revenue.
For improving profitability
Monitor FBA fees per unit against your selling price to ensure healthy margins. Track return rate by ASIN to identify products eroding profit through refunds. Manage inventory age aggressively — units sitting 180+ days incur surcharges that destroy margins. Calculate net profit per unit for every ASIN and discontinue products that don't meet your profitability threshold.
For inventory management
Keep your Inventory Performance Index above 400 (ideally above 600) to avoid storage limits. Monitor days of supply to prevent both stockouts and overstock — aim for 30-60 days of supply. Resolve stranded inventory immediately since those units cost storage fees without being available for sale. Use sell-through rate to identify slow-moving products that need promotions or removal.
For protecting account health
Monitor order defect rate daily and keep it under 1% at all costs — this is Amazon's most critical threshold. For seller-fulfilled orders, ensure late shipment rate stays below 4% and cancellation rate below 2.5%. Respond to all customer messages within 24 hours. Address intellectual property and authenticity complaints immediately as these carry the highest suspension risk.
For listing optimization
Compare unit session percentage across your ASINs to identify underperforming listings. Benchmark against category averages — if your conversion rate is below 10% in most categories, investigate your images, title, pricing, and reviews. Use page views per session as a signal — a high ratio suggests customers are coming back to compare, which may indicate they need more information to make a decision.
Common Mistakes in Amazon Seller Central Analytics
Even experienced Amazon sellers make these errors when analyzing their Seller Central data. Avoiding them will lead to better business decisions and faster growth.
1. Ignoring buy box percentage
Optimizing your listing images, title, and pricing means nothing if you don't own the buy box. A product with a 30% buy box percentage is losing 70% of potential sales to competitors selling the same ASIN. Check buy box percentage first, then optimize everything else. If your buy box percentage is low, investigate pricing, fulfillment method, and seller metrics.
2. Confusing sessions with page views
Sessions count unique visitors (deduplicated within 24 hours); page views count every page load. Using page views as your traffic metric inflates your conversion rate denominator, making your unit session percentage look lower than it actually is. Always use sessions for conversion calculations and page views for understanding browsing behavior.
3. Using ordered revenue instead of shipped for financials
Ordered product sales includes pending and eventually-cancelled orders, which inflates your revenue view. For accurate financial analysis, use shipped product sales or reconcile with your settlement reports. The difference can be 5-15% depending on your cancellation and return rates.
4. Not accounting for FBA fees in profitability
Many sellers calculate profit as selling price minus product cost, forgetting that FBA fulfillment fees, referral fees, storage fees, and advertising costs eat into margins significantly. A product with a 50% gross margin can easily have a 10-15% net margin after all Amazon fees. Build a true per-unit cost model that includes every fee.
5. Ignoring inventory age until fees hit
Long-term storage fees at 181 and 365 days are steep and can turn profitable products into money losers. By the time you notice the fee, the damage is done. Monitor inventory age proactively and take action (promotions, lightning deals, removal orders) well before the 180-day mark.
6. Comparing conversion rates across categories
A 15% unit session percentage is excellent for electronics but mediocre for consumables. Amazon category benchmarks vary significantly — commodity products with low consideration have higher conversion rates than expensive or complex products. Always benchmark your conversion rate against your specific category averages, not a universal standard.
