Category comparison
View full table Observed market table
| Category | Visible bought floor | Visible retail floor | Median price | Signal coverage | Daily churn | Rank movers |
|---|
RECOVERY PATH
Public snapshot is paused
No figures are inferred while this snapshot is unavailable. Retry when the observed dataset returns, or keep moving with your own Amazon input.
- Observed onlyNo estimates or filled gaps.
- Preview firstNo account for five rows.
- Traceable outputSource and date stay visible.
Category Benchmark
Compare Amazon categories at a glance.
Find leaders, opportunities and risk using the same observed shelf signals across monitored markets.
Public Amazon observations · selected search results, not the whole Amazon market.
Category coverage breakdown
Market distribution
Where coverage comes from
Explore the category chart
Category opportunity map
Median price vs visible demand floor i
Bubble size is observed shelf size; no seller revenue or Amazon-wide estimate is implied.
Hover, focus or click a bubble for the exact market, price, coverage and lower-bound demand.
Benchmarks use public observed lower bounds and field coverage; they are not seller revenue estimates. Learn more
Observed Amazon category benchmarkingRead methodology and next step
Category Benchmark puts monitored Amazon shelves on one comparable map. Bubble position combines observed median price with visible bought floors, and bubble size reflects the observed shelf size. Leaders, quadrants, distribution bars and the comparison table use the same source payload, so the page stays consistent when a metric changes. Treat the result as directional intelligence for category selection, competitor research and sample design—not as seller revenue, market share or Amazon-wide demand. Hover a bubble for the exact observed values and export the underlying input when the opportunity is worth testing.
ParseShelf uses live public Amazon observations with explicit provenance and freshness. Start with the free intelligence surface, inspect the evidence, then send one URL or up to 20 ASINs for a downloadable sample.
Observed data is useful because it is inspectable: the source market, observation date, rendered fields and missing values stay visible. When a sample matters, the same input can move into a real parser job and a clean export for your team.