Which selling apps price your item for you
Most marketplaces will hand you a number at listing time. Here is what that number is made of, and what it is quietly optimising for.
You photograph the thing, type a title, and the app fills in a price before you have decided on one. It feels like help, and sometimes it is. But a price suggestion is a piece of software with an objective, and the objective belongs to the marketplace rather than to you. Knowing which objective is running is the difference between taking the number and being taken by it.
A suggested price is a sell-through target, not a valuation
Marketplaces make money when items sell, not when items sell for a lot. A listing that sits for four months earns the platform nothing and clutters the category, so the incentive behind every built-in pricing feature points the same direction: toward a number that moves stock. That is a legitimate goal and it is not the same goal as yours.
This is why "suggested" prices so often land slightly under what patient sellers get, and why the nudge almost always arrives as a discount prompt rather than an increase prompt. The app is not lying to you. It is answering a question you did not ask: not what is this worth, but what would make this leave quickly.
Know whether you are being shown asking prices or sold prices
The single most useful thing to work out about any pricing suggestion is which pool of data it came from. A suggestion built from active listings is telling you what other sellers hope to get, including the ones who have hoped for eleven months. A suggestion built from completed sales is telling you what buyers actually paid.
Those two numbers can sit a long way apart on the same item, and the gap is widest exactly where it hurts most: unusual things, collectibles, anything where a few optimistic listings dominate a thin category. We go through the mechanics of that gap in sold price vs asking price. When an app will not tell you which pool it used, assume asking.
What each app actually gives you
eBay is the most transparent of the group. Its listing flow surfaces a suggested range, and more usefully it lets you filter completed and sold listings yourself, which is the raw material rather than a conclusion. For research-heavy items this is the strongest built-in tooling on any marketplace, mostly because it hands you the evidence instead of a verdict.
Mercari leans hardest into automation. It offers suggested pricing at listing time and a smart-pricing option that will walk your price down toward a floor you set while the item sits. Read that second feature carefully: it is a sell-through mechanism with your floor as the only brake, so the floor is the number that deserves your research, not the start price.
Poshmark, Depop and Vinted are comparison-led rather than calculation-led. They will show you similar listings and let you draw your own conclusion, and on Poshmark much of the real price discovery happens afterwards through offers to likers. On these apps the listed price functions as an opening position more than a verdict.
Whatnot barely prices at all, by design. A live auction finds the number in real time, which is excellent for categories with an engaged audience and unforgiving for anything niche enough to draw two bidders on a slow night. Your lever there is the reserve, which is a research question again.
Facebook Marketplace and OfferUp will show you comparable local listings and little else. Local pricing is genuinely local, so the sample is small and the negotiation is the real pricing mechanism.
When to take the suggestion and when to override it
Take it when the item is common, current, and easy to identify exactly: a recent phone model, a mainstream appliance, a current-season brand item in a well-populated category. Here the suggestion is drawn from many near identical things, the spread is narrow, and the convenience is worth more than the few dollars a manual check might add.
Override it when the value hangs on a detail the listing form never asked about. A mark on the base, an early variant, a lens with no fungus, a pattern collectors chase, an original box. Marketplace suggestions match on titles and categories, so anything whose worth lives in a detail will be priced as the generic version of itself, which is the expensive failure mode. The condition side of that is in the item condition guide.
Price the item before you open the listing form
The practical fix is sequencing. Decide your number first, from completed sales for the exact variant you have, then open the app and treat its suggestion as a second opinion you can accept or ignore. Arriving with a number turns the suggestion into information. Arriving without one turns it into a decision, made by software with a different goal.
If you want that first number without doing the comp research by hand, that is what Price×Point is for: photograph the item and it reports what it has recently sold for, what sellers are currently asking, and what a retailer charges new, with the real listings behind each figure. If you would rather do it manually, the tools worth using are compared in the best apps to find what something is worth.
A suggestion you can argue with is a good suggestion. The trouble only starts when it is the only number in the room.