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The Amazon Buy Box is not national

We check the same products from many locations. Every day. These are aggregate findings from that data. The numbers update on their own. Use them freely.

18.1%

split across locations

of products checked in 2+ locations on 2026-08-22

16.3 pts

win-rate spread by city

between Los Angeles and Denver right now

15.4%

win where they are cheapest

of 52 products whose status differs by city

831,091

checks logged

8,615

positions in rotation

88

brands in sample

5.5/min

current check rate

Location changes the answer

A national Buy Box check gives you one answer. The question has several. On any given day, about a fifth of the products we track in more than one location show a different Buy Box status. It depends on where the shopper is standing.

Products showing a different Buy Box winner by location, daily

Of products checked in two or more locations on a given day, the share that showed a different Buy Box status across those locations that same day. Today is excluded until its scrape completes.

12%20%28%2026-07-292026-08-22
View as table
DaySplit rate
2026-07-2916.5%
2026-07-3017.6%
2026-07-3119.7%
2026-08-0120.5%
2026-08-0220.9%
2026-08-0316.4%
2026-08-0422.3%
2026-08-0521.8%
2026-08-0621.3%
2026-08-0721.7%
2026-08-0822.0%
2026-08-0922.9%
2026-08-1023.5%
2026-08-1123.2%
2026-08-1221.7%
2026-08-1321.6%
2026-08-1419.7%
2026-08-1519.4%
2026-08-1620.0%
2026-08-1721.2%
2026-08-1821.8%
2026-08-1921.2%
2026-08-2020.5%
2026-08-2120.3%
2026-08-2218.1%

The gap between cities is large

Win rates are not evenly spread. The best and worst city we track are 16.3 percentage points apart. Same catalogue. Same moment.

Buy Box win rate by city

Share of tracked product-locations currently winning the Buy Box, by city. Bars start at zero. Cities backed by fewer than five brands are excluded. A single-brand city would publish one seller's performance, not an aggregate.

Los Angeles77.8%Dallas77.0%Atlanta74.2%Miami72.2%New York71.5%Chicago70.5%San Francisco69.1%Seattle64.6%Austin64.6%Denver61.5%
View as table
CityWin rateBrands
Los Angeles, CA77.8%17
Dallas, TX77.0%14
Atlanta, GA74.2%16
Miami, FL72.2%17
New York, NY71.5%20
Chicago, IL70.5%21
San Francisco, CA69.1%16
Seattle, WA64.6%17
Austin, TX64.6%45
Denver, CO61.5%46

Price does not explain it

The obvious theory is that sellers win where they are cheapest. We looked at 52 products whose Buy Box status differs by city. Only 8 were winning in the city where their price was lowest. 26 were winning at a higher price than the city where they were losing. Another 18 showed no price difference at all.

The sample is small. 52 products is an indication, not a law. It is still enough to say that price alone does not decide the Buy Box.

Losing the Buy Box and having none at all are about equally common

Sellers watch for competitors taking the Buy Box. They should also watch for it vanishing. A suppressed listing shows no winner at all. Roughly as many of our tracked positions are suppressed as are lost to another seller. Both sit near 15%.

We do not claim one is commoner than the other. The two are within a point. The ordering reverses depending on how you measure it. A snapshot of current status puts suppression ahead. An average over the last seven days of checks puts loss ahead. A gap that small is not a finding. We would rather say so than pick the cut that reads better.

What tracked positions are doing right now

Current status of every tracked product-location. Suppressed means Amazon shows no Buy Box at all. A further 0.2% is unknown. It is omitted from the bar.

68.9%owned16.1%suppressed14.8%lost
View as table
StatusPositionsShare
owned3,55868.9%
suppressed83016.1%
lost76714.8%
unknown100.2%

What changes on a product page

We snapshot product pages daily and diff them. The most common change is not the one most sellers watch for.

Product page changes detected per day, by type

Content tracking began 19 July 2026, so this series is deliberately short. Variations appearing and disappearing dominate everything else. They run at roughly five times the rate of title edits.

02154302026-07-192026-08-22
  • variations added
  • variations removed
  • title changed
  • description changed
  • bullet points changed
  • Other
View as table
Change typeTotal in window
variations added2,260
variations removed2,170
title changed1,321
description changed203
bullet points changed198
Other403

Method and limits

Buy Box checks logged
831,091
Tracking since
2026-01-27
Distinct ASINs
1,833
Product-location pairs
8,615
Brands in sample
88
Competitor offers captured
123,453

What a location is. Each product is tracked once per city. Each city uses one representative postcode. So this measures variation between cities. It does not measure variation between postcodes inside one city. That is why we say “location” and not “ZIP”.

Which cities appear. A city is shown only if at least five distinct brands are tracked there. A rate built from one brand describes that seller, not the market. Publishing it would be neither useful nor fair to them.

Whose data this is. These are aggregate statistics across our whole customer base. No individual product, brand, seller or price appears on this page. None is available through it.

What this sample is not. It is the catalogue our customers chose to monitor. These are products they already suspected were worth watching. It is not a random sample of Amazon. A seller with no Buy Box problems is under-represented here. Three brands account for roughly a third of tracked positions.

Today is always partial. Every series here drops the current day. Its scrape has not finished. Including it would put a false dip on the right edge of every chart, permanently.

Why the charts start on 29 July 2026. Until 28 July our scraper had a bug. It treated a listing with missing delivery data as suppressed. It is not. The bug inflated our suppressed counts. In the location-split series it produced two spikes above 60%. Those spikes said something about our software, not about Amazon. We could have plotted them with a caveat. Instead we start the series on the day the fix landed. The charts are shorter. They are also honest.

Buy Box checks per week, since tracking began

Our sample as it grew. The plateau through June and July is a throughput ceiling in our own scraping. We found it and raised it in early August. It is a fact about our infrastructure, not about Amazon. The final partial week is excluded.

030k60k2026-01-262026-08-10
View as table
Week beginningChecks
2026-01-266,439
2026-02-029,395
2026-02-0910,423
2026-02-1610,749
2026-02-238,643
2026-03-029,994
2026-03-0910,730
2026-03-1612,271
2026-03-2320,821
2026-03-3024,708
2026-04-0617,776
2026-04-1326,931
2026-04-2028,856
2026-04-2729,550
2026-05-0446,185
2026-05-1131,947
2026-05-1832,364
2026-05-2532,265
2026-06-0132,551
2026-06-0833,093
2026-06-1532,851
2026-06-2233,165
2026-06-2933,435
2026-07-0633,274
2026-07-1334,021
2026-07-2033,630
2026-07-2736,514
2026-08-0344,790
2026-08-1055,224

Check your own products

Run a free Buy Box check across several locations and see whether your own catalogue splits.

Run a free check

Figures regenerate automatically. Free to cite with attribution to Buy Box Checker.