At a glance
The percentage of time you hold the Buy Box across your 50 highest-revenue ASINs. The Buy Box is the featured offer behind “Add to Cart”, and the large majority of Amazon sales flow through it, so on a competitive listing this single percentage is one of the strongest predictors of whether your sales hold up. Where Buy-Box Loss Burst catches a sudden crisis, this gauge is the steady-state health read on your most important listings.
| What it counts | The share of Buy-Box-eligible time (or sessions) you win across the top-50 ASINs by revenue, expressed as a 0 to 100% rate. A high rate means you are the featured offer most of the time on your best products. |
| Why top-50 revenue | Buy-Box win rate matters most where revenue is concentrated. Tracking it across the whole catalogue dilutes the signal; the top-50 view keeps it focused on the ASINs that actually drive sales. |
| Sampling note | The card samples the top-50 revenue ASINs and the result is cached for several hours to respect SP-API rate limits. It is a representative health read, not a continuous per-second measurement of every ASIN. |
| What moves it | Your price versus competing offers, your fulfilment method (FBA / Prime eligibility helps), your seller metrics and account health, inventory availability, and the number and aggressiveness of competing third-party offers. |
| Why it matters | Losing the Buy Box on a top ASIN is close to losing the sale. A win rate below the target means a meaningful slice of demand on your best products is going to competitors. |
| Fulfilment scope | All fulfilment, but FBA / Prime eligibility is a strong positive factor in winning the Buy Box, so a heavily FBM catalogue may show a lower rate on contested listings. |
| Time window | RT/7D vsP (a real-time read with a 7-day comparison against the prior period) |
| Alert trigger | <85%. A win rate below 85% across the top-50 flips the gauge and notifies owner, marketing, and finance. |
| Roles | owner, marketing, finance |
Calculation
Calculated automatically from your Amazon Seller Central data. Top-50 revenue ASINs are sampled and the result is cached for several hours to respect SP-API rate limits. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A US consumer-goods seller, mixed FBA and FBM on amazon.com. Snapshot taken 17 Mar 26, with a 7-day comparison.| Segment of top-50 | Avg Buy-Box win rate | Note |
|---|---|---|
| FBA ASINs (32 of 50) | 94% | Prime eligibility helps win the Buy Box |
| FBM ASINs (18 of 50) | 67% | competing against Prime offers and 3P sellers |
| Buy-Box Win Rate (top-50, this card) | ~84% | weighted across the 50 |
- 84% fired the alert, just. The blended rate slipped under the 85% floor, and the 7-day comparison shows it fell from about 88% the week before. A few points of Buy-Box loss across the top-50 represents real lost sales on the seller’s most important listings.
- The whole problem is on the FBM side. FBA ASINs win the Buy Box 94% of the time, helped by Prime eligibility, while the FBM ASINs sit at 67%. The blend hides this; the segmentation reveals that fulfilment method is the lever. Moving the contested FBM ASINs to FBA would likely lift the rate sharply.
- The 7-day drop is the actionable signal. A static 84% is one thing; a 4-point fall in a week suggests a competitor re-priced or new offers appeared. Pair with Buy-Box Trend (top revenue ASINs) to see whether the slide is continuing.
- The number is a cached sample, not a tick-by-tick feed. Because Buy-Box state is sampled and cached for several hours to respect rate limits, treat the figure as a reliable health read, not a real-time price-war monitor. For sudden events, the burst card is the live alert.
Sibling cards merchants should reference together
Win rate is the steady-state Buy-Box health number. Pair it with the burst, the trend, and the financial impact:| Card | Why pair it with Buy-Box Win Rate |
|---|---|
| Buy-Box Loss Burst | The crisis alert. This gauge is the steady level; the burst card catches a sudden drop in the same signal. |
| Buy-Box Trend (top revenue ASINs) | The direction. A single win-rate reading is less useful than knowing whether it is rising or falling. |
| Estimated Revenue Lost to Buy-Box Loss | Converts the win-rate gap into a £/$ figure, the cost of every point of Buy Box you do not hold. |
| Top Buy-Box-Loss ASINs | Names the specific ASINs dragging the rate down so you can act on the right listings. |
| ASINs with Third-Party Offers | Competing offers are the main reason you lose the Buy Box. This shows where the competition is. |
| Ad Spend on Out-of-Stock ASINs | If you are advertising ASINs where you no longer hold the Buy Box, that spend is largely wasted. Check both. |
Reconciling against Amazon Seller Central
Where to look in Seller Central:Business Reports → Detail Page Sales and Traffic by Child Item reports the Buy Box percentage per ASIN over the selected period. To reconcile, filter to your top-revenue ASINs and average their Buy Box percentages; the result should track this gauge closely, allowing for the card’s sampling and caching.The live listing also shows whether you currently hold the featured offer, useful as a spot check on a specific ASIN. Timing and reporting-lag table:
| Topic | Detail |
|---|---|
| Timezone | Business Reports use the marketplace’s local timezone; the card aligns its window consistently. Edge-of-window sessions can shift the reported percentage slightly. |
| Sampling and caching | The card samples the top-50 revenue ASINs and caches the result for several hours to stay within SP-API rate limits. Amazon’s own Buy Box percentage aggregates over the period; minor differences are expected. |
| Eligibility effects | Buy-Box eligibility depends on price, fulfilment, account health, and inventory. A change in any of these (for example, a stockout) lowers win rate on the affected ASINs. |
| Period comparison | The 7-day comparison contrasts the current rate with the prior 7 days. A re-pricing event mid-window can make the trend look sharper than a single day’s change. |
| Reason | Direction | Why |
|---|---|---|
| Sampling vs full report | Either direction | The card samples top-50 revenue ASINs with caching; Amazon’s report covers every ASIN over the full period. Aggregates can differ by a small margin. |
| ASIN set definition | Either direction | If you average Buy Box percentage across a different ASIN set than the card’s revenue-ranked top-50, the figures will not match. Use the same set. |
| Caching window | Ours can lag minutes to hours | Because the read is cached, a very recent Buy-Box change may not be reflected until the next sample. The burst card is the real-time view. |
| Card | Expected relationship | What causes legitimate divergence |
|---|---|---|
amazon-ads.active-ads-on-no-buy-box-asins | Spend-efficiency tie-in. A low win rate on advertised ASINs means ad spend is going to listings where a competitor wins the sale. The Ads connector flags these directly. | Different scope; the Ads card focuses on advertised ASINs, this gauge on top-revenue ASINs. They overlap where you advertise your best earners. |
ebay.revenue-by-marketplace | Marketplace peer (loose). eBay has no Buy Box, but the idea of winning the featured / best-match position is analogous. Used as a conceptual peer. | Entirely different mechanics; no shared data. |