The Ratio, Not the Rows
How many of the things on offer actually found a buyer, over a window you can see. One number, derived from both sides, that decides whether a category is busy or alive.
Four hundred listings and three sales last month is a dead category that looks busy. Browsing what is for sale measures supply.
Two lists exist for every eBay search and only one of them is demand. Below: both lists together, what the sold prices say that the asking prices do not, and how much the answer depends on wording.
How many of the things on offer actually found a buyer, over a window you can see. One number, derived from both sides, that decides whether a category is busy or alive.
What sellers wanted and what buyers paid are two different numbers, and the gap between them is where the margin went. Both come back, along with how wide the spread is.
The same item is listed under four different phrasings by four sellers, so the search terms used are listed with the results — and so is what a narrower wording would have missed.
Three steps from a product idea to a read on whether anyone is actually buying it.
A product, a category, or a listing you are looking at. Say the condition you would sell in if it matters.
It gathers the active listings and the completed sales, works out the ratio, compares asking prices against achieved ones, and records which search terms produced the set.
The numbers describe a market; whether it is your market is a call only you can make. Save the run as a Playbook so the same category can be rechecked.
eBay publishes what sold. Almost nobody researches with it.
The default way to research eBay is to search and scroll. That is a picture of how many people want to sell the thing, not of how many want to buy it. A crowded results page reads as a healthy market and can equally mean nobody is buying.
.jpeg&w=1920&q=75)
Anyone can list at any number, and plenty do. Offers get accepted below it, auctions close under the buy-it-now, and condition moves the figure more than the model does. An average built from what is currently listed describes what sellers hope for, which is not information you can price against.
.jpeg&w=1920&q=75)
There is no shared product record here, so the same item appears under whatever each seller typed. That means every count depends on how you searched, and a tighter phrase produces a smaller, more confident, and more wrong answer. The search terms are reported alongside the numbers for that reason.
.jpeg&w=1920&q=75)
Demand on eBay moves with the calendar, and a category checked in March tells you about March. Re-running the same search terms in September is the comparison worth having. Your AllyHub never starts from scratch again, so each check gets faster every time.
.jpeg&w=1920&q=75)
Resellers pricing used stock, anyone clearing a collection, buyers deciding what to bid, and people sourcing to flip.
Condition, completeness, and the exact variant decide the price far more than the model name does, and none of that is in a general price guide. What sold, in what state, last month, is the only comparable that means anything.
Forty items inherited or accumulated, and pricing them individually by feel takes a weekend and gets most of them wrong. Knowing which few are worth listing carefully and which should go as a lot is the actual decision.
You are the buyer here, and the question is whether the current price is reasonable. Completed sales answer that directly, and they are the thing an active listings page will never show you.
The margin exists only if the resale price is real. A buy decision made against asking prices is a decision made against what other sellers wish were true.
Explore more AI-powered tools across research, content, and data.

Amazon Bestsellers Scraper — pull any ranking list with rank position, ASIN, price, and rating. No code, no Amazon API, all marketplaces. Try AllyHub free.

Amazon Product Scraper — pull structured product data from any Amazon domain without code or the Amazon API. Export JSON or CSV. Try AllyHub free.

Amazon Niche Finder — start from your interests, a category, or a rival, and get underserved niches scored on demand vs competition. Try AllyHub free.
Guides on the difference between a busy category and a buying one.

Struggling to scrape Amazon product data without getting blocked? Learn safe, effective Amazon scraper methods using APIs, no-code tools, and Python.

Discover the 10 best Amazon competitor analysis tools used to track competitors, uncover keyword gaps, and understand why top listings outperform yours.

Discover the best Amazon SEO tools to boost your rankings, find high-converting keywords, and outpace competitors. Reviewed and ranked for e-commerce marketers.
Sold data, benchmarks, search wording, and checking again later.
Something that helps you decide whether an item is worth selling, and at what price. What separates one from another is whether it works from listings or from sales — eBay publishes both, and only the second one is evidence that anybody wanted the thing.
Yes, one search at a time. Several categories in a pass, wider term coverage, and keeping the search terms so a later check is comparable are on the paid plans.
eBay exposes recent completed sales rather than full history, so the window is measured in weeks rather than years. That answers whether something is moving now, and cannot tell you about last Christmas — which is why re-running the same search seasonally is worth more than one deep look.
There is no universal figure worth quoting, and anyone offering one is averaging across categories that behave nothing alike. What is comparable is a category against itself over time, or against another category measured in the same run and the same window.
Most present the active market and leave the completed side as a separate tab you have to think to open. Here the two are reduced to a single figure you can act on, prices are reported as achieved rather than asked, the search terms behind the count are shown, and those terms are kept so the next check compares like with like.