> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Estimated Revenue Lost to Buy-Box Loss, Amazon Seller Central > Estimated Revenue Lost to Buy-Box Loss for Amazon Seller Central. Tracked live in Vortex IQ Nerve Centre. How to read it, why it matters, and how to act on it. **Card class:** [Hero](/nerve-centre/overview#card-classes-explained) • **Category:** [Buy-Box & Visibility](/nerve-centre/connectors#connectors-by-type) ## At a glance > The money the Buy Box is quietly costing you. For each ASIN where you are losing the Buy Box, the card multiplies the share of time the Buy Box was not yours by recent units sold and average selling price, then sums across ASINs to a single recoverable-revenue figure. It answers the CFO question "if we reclaimed the Buy Box on everything we are losing it on, how much would we get back this month?" This is an estimate, not a settled number, so treat it as a prioritisation lens rather than an accounting line. | | | | ------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **What it counts** | An estimate of recoverable sales: for each ASIN, `(1 - Buy Box win rate) x recent units x average selling price`, summed across all ASINs where you are losing Buy Box share. It models the orders that plausibly went to another offer (or to no sale) because you did not hold the featured offer. | | **Why it is an estimate** | Amazon does not report "the order you would have won". The card infers lost revenue from your own Buy Box win percentage and your trailing sales rate. It assumes demand that did not convert through you would have converted at your recent ASP and velocity. Real recoverable revenue is usually lower (some of those buyers buy a different brand). | | **Fees / commission framing** | **Gross of fees.** The figure is modelled on ordered product sales value, before Amazon referral fees (typically 8 to 15% by category), FBA fulfilment fees, and refunds. The recoverable *margin* is smaller than the recoverable revenue shown. | | **FBA vs FBM** | Buy Box eligibility and win rate are influenced by fulfilment method (FBA and Prime-eligible offers win more often), price, stock, and seller metrics. The card uses your realised win rate per ASIN regardless of fulfilment method, so an FBM offer losing to a cheaper FBA competitor is captured. | | **Scope** | Typically weighted toward your top-revenue ASINs, where a percentage point of lost Buy Box translates to the most money. Long-tail ASINs with negligible velocity contribute little even at a low win rate. | | **Hijack / third-party offers** | When another seller lists against your ASIN and undercuts or out-fulfils you, your win rate drops and this number rises. Pair with [ASINs with Third-Party Offers](/nerve-centre/kpi-cards/amazon-seller/asins-with-third-party-offers) to see whether the loss is competitive pressure or a hijack. | | **Out-of-stock effect** | If you go out of stock, you cannot win the Buy Box at all, so OOS periods inflate this figure. Reclaiming the Buy Box on those ASINs may simply mean replenishing. Cross-check with inventory cards before assuming it is a pricing fight. | | **Time window** | `30D` (rolling 30 days) | | **Alert trigger** | `>$1k/month` of estimated recoverable revenue | | **Roles** | owner, marketing, finance | ## Calculation Calculated automatically from your Amazon Seller Central data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading. ## Worked example A private-label home-fragrance brand selling on Amazon UK, FBA, period 02 Apr 26 to 01 May 26 (30D). All numbers below are illustrative. | ASIN | Buy Box win rate | 30D units (when winning) | Implied units at full win | Avg selling price | Estimated lost revenue | | ------------------------------- | ---------------- | ------------------------ | ------------------------- | ----------------- | ------------------------------- | | Reed diffuser, signature scent | 72% | 1,440 | 2,000 | £24 | (2,000 - 1,440) x £24 = £13,440 | | Soy candle, large | 88% | 1,760 | 2,000 | £18 | (2,000 - 1,760) x £18 = £4,320 | | Room spray | 95% | 950 | 1,000 | £14 | (1,000 - 950) x £14 = £700 | | Gift set, three-pack | 61% | 305 | 500 | £39 | (500 - 305) x £39 = £7,605 | | **Total estimated recoverable** | | | | | **\~£26,065 / 30D** | ```text theme={null} Per ASIN = (implied units at 100% win - units actually won) x average selling price Total = sum across all losing ASINs This is GROSS of referral + FBA fees and gross of refunds. ``` Five things to notice: 1. **The gift set is the hidden problem, not the diffuser.** The diffuser shows the biggest pound figure, but the gift set is losing 39% of its Buy Box. That is a structural loss (a persistent competitor or a repricing gap), whereas the diffuser's 28% gap may be a few stockout hours. Sort by win-rate gap, not just by pound value, to find fixable losses. 2. **It is gross, so discount it before you celebrate the recovery.** At a 15% referral fee plus roughly £3 per-unit FBA fulfilment, the £26k of gross recoverable revenue is closer to £18k of recoverable contribution, and only a fraction of buyers would have chosen you anyway. Treat the figure as an upper bound on the prize. 3. **A win rate of 95% can still be worth chasing.** The room spray loses only 5% of the Buy Box, but on 1,000 units that is still £700. On very high velocity ASINs, the last few points of win rate matter. 4. **Stock, not price, may be the lever.** Before repricing the gift set down, check whether the lost share lines up with low-stock days. Reclaiming the Buy Box by replenishing protects margin; reclaiming it by cutting price erodes it. 5. **The alert fired.** Estimated recoverable revenue of \~£26k is far above the `>$1k/month` threshold, so Vortex IQ Nerve Centre flags this. The action is to triage the top three ASINs by win-rate gap. ## Sibling cards merchants should reference together This number is a prioritisation lens. Pair it with these to act on it: | Card | Why pair it with Estimated Revenue Lost to Buy-Box Loss | | ---------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | | [Buy-Box Win Rate (top-50 ASINs)](/nerve-centre/kpi-cards/amazon-seller/buy-box-win-rate-top-50-asins) | The input metric. This card turns win rate into pounds; that card shows the rate itself per ASIN. | | [Buy-Box Trend (top revenue ASINs)](/nerve-centre/kpi-cards/amazon-seller/buy-box-trend-top-revenue-asins) | Tells you whether the loss is a sudden break or a slow slide, which changes the fix. | | [Top Buy-Box-Loss ASINs](/nerve-centre/kpi-cards/amazon-seller/top-buy-box-loss-asins) | The ranked worklist. Start your triage here. | | [ASINs with Third-Party Offers](/nerve-centre/kpi-cards/amazon-seller/asins-with-third-party-offers) | Distinguishes a competitive pricing fight from a hijack on your own listing. | | [Ad on OOS Detected](/nerve-centre/kpi-cards/amazon-seller/ad-on-oos-detected) | If the Buy Box loss is really a stockout, you may also be paying ads to drive traffic to an offer you cannot win. | | [Total Revenue](/nerve-centre/kpi-cards/amazon-seller/total-revenue) | Context: recoverable revenue as a share of total tells you how big the prize is relative to the business. | ## Reconciling against Amazon Seller Central **Where to look in Amazon Seller Central:** Amazon does not publish a "revenue lost to Buy Box loss" figure, this is a Vortex IQ composite. The closest native inputs are: > Seller Central → Reports → Business Reports → **Detail Page Sales and Traffic by Child Item**. The **Buy Box Percentage** column per ASIN is the win-rate input; **Units Ordered** and **Ordered Product Sales** give the velocity and ASP inputs. To approximate the card by hand, take an ASIN's Buy Box Percentage, compute the implied full-win units, and multiply the shortfall by that ASIN's average price. Summing across ASINs reproduces the card's logic. **Timing, settlement, and reporting-lag table:** | Topic | Detail | | ------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Timezone** | Business Reports use your marketplace's account timezone; Vortex IQ aligns to your configured reporting timezone. Boundary-day orders can fall on different sides; the effect averages out over 30D. | | **Buy Box percentage reporting lag** | Amazon's Buy Box Percentage in Business Reports is a daily aggregate and can lag intraday. The card refreshes on the standard data cadence, so a fresh competitive change may take a refresh cycle to appear. | | **Estimation, not settlement** | This card is a model. There is no Amazon report to reconcile it against to the penny. Reconcile the *inputs* (win rate, units, ASP) instead. | | **ASP basis** | The card uses recent average selling price. If you ran a discount or coupon during the window, ASP shifts and the modelled recoverable revenue shifts with it. | **Why our number may legitimately differ from a manual estimate:** | Reason | Direction | Why | | ----------------------------- | ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Demand-capture assumption** | Ours higher | The model assumes lost Buy Box share would have converted at your velocity. In reality some buyers buy a competitor or do not buy at all, so true recoverable revenue is lower. | | **OOS periods** | Ours higher | Time out of stock counts as Buy Box loss, inflating the figure even though the fix is replenishment, not repricing. | | **ASP window** | Either | If your manual estimate uses list price and the card uses realised ASP (net of coupons), the two diverge. | | **ASIN scope** | Either | The card weights top-revenue ASINs; a hand calc over a different ASIN set will not match. | **Cross-connector reconciliation against other connectors the same seller may run:** | Card | Expected relationship | What causes legitimate divergence | | ------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------- | | [`ebay.revenue-at-risk`](/nerve-centre/kpi-cards/ebay/revenue-at-risk) | **Marketplace peer.** eBay has no Buy Box, but the "revenue at risk" framing is analogous. Independent populations. | Used as a conceptual peer, not a reconciliation. eBay risk comes from listing and seller-standards issues, not a featured-offer contest. | | [`shopify.total_revenue`](/nerve-centre/kpi-cards/shopify/total-revenue) | **Independent channel.** Buy Box loss on Amazon does not reduce DTC revenue; it may even shift demand to your own site if buyers find you there. | No direct reconciliation. Treat as separate revenue streams. | ## Known limitations / merchant FAQs **Is this a real number I can put in a forecast?** No. It is a modelled upper bound on recoverable revenue, useful for prioritising which ASINs to fix first, not for forecasting. Discount it for fees and for the share of buyers who would have bought a competitor anyway. **Why did this spike when nothing changed on my listings?** The most common cause is a stockout. Time out of stock counts as Buy Box loss, so the card attributes the missed sales to "Buy Box loss" even though the real cause is inventory. Cross-check with [ASINs Stocking Out \<7 Days](/nerve-centre/kpi-cards/amazon-seller/asins-stocking-out-7-days) and [Days of Cover (avg)](/nerve-centre/kpi-cards/amazon-seller/days-of-cover-avg). **Is the loss a competitor or a hijacker?** Check [ASINs with Third-Party Offers](/nerve-centre/kpi-cards/amazon-seller/asins-with-third-party-offers). If another seller is offering on your private-label ASIN, the Buy Box loss is a hijack and the fix is enforcement, not repricing. If it is a legitimate reseller competition, repricing or fulfilment improvements may be the answer. **Should I just drop my price to win the Buy Box back?** Not reflexively. The card is gross of fees, so a price cut to recover £1 of revenue may recover only pennies of contribution. Reclaiming the Buy Box through better stock availability, faster (Prime-eligible) fulfilment, or improved seller metrics protects margin better than price cutting. **Can I change the alert threshold?** Yes. The `>$1k/month` default is configurable per profile in the Sensitivity tab. Set it to a level where the recoverable prize is worth a person's time to chase. *** ### Tracked live in Vortex IQ Nerve Centre *Estimated Revenue Lost to Buy-Box Loss* is one of hundreds of KPI pulses Vortex IQ tracks across Amazon Seller Central and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. [Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.