eBay Sell-Through Rate Explained (and How to Use It)

What sell-through rate actually measures

Sell-through rate is a demand-versus-supply ratio. It answers one question: of all the listings competing for buyers of this item, what share actually sold? A high rate means buyers are soaking up the supply. A low rate means there are plenty of copies sitting unsold, and yours will be one more.

The formula most tools use, and the one eBay’s own Product Research tool is generally understood to use, is:

You’ll also see resellers quote a second version, sold ÷ active, which can go over 100%. Neither is wrong; they’re just different scales. What matters is that you always use the same one, so your mental benchmarks stay honest. The conversion is simple enough to do in your head for the common points:

This guide uses the first version, sold ÷ (sold + active), throughout.

How to calculate STR manually on eBay

You don’t need a subscription. Here’s the routine we use at the shelf and at the desk.

1. Search specifically. Brand + model/line + the one or two attributes that change the price (size range, material, style). “Patagonia Better Sweater 1/4 zip men’s” beats “Patagonia fleece”.
2. Match your item’s context. Set the category, pick the condition (Pre-owned vs New matters a lot), and for US sellers set item location to US only so you’re not counting overseas listings that most of your buyers skip.
3. Write down the active count. That’s the number of results at the top of the page. Ignore the “Results matching fewer words” section eBay adds below the real matches; those aren’t your competition.
4. Turn on Sold Items. On desktop it’s in the left filter column under “Show only”; in the app it’s under Filter. Write down the new result count.
5. Divide. Sold ÷ (sold + active). Then scroll the sold results and note the price range where most of them landed. The rate on its own is useless without that.

Using Product Research (formerly Terapeak) instead

eBay’s Product Research tool lives under the Research tab in Seller Hub and is free for all sellers. eBay says it covers the last three years of sales and lets you pick any date range in that window. It shows average sold price, price range, average shipping, number of sellers and the sell-through rate, but eBay only shows sell-through for searches covering 90 days or less.

The three-year history is the real reason to use it. Regular search only shows sold listings from roughly the last 90 days, so it can’t tell you whether that ski jacket that sold ten times this winter sells at all in July. Product Research can. Run the same search for the last 90 days and for the same 90 days last year, and you’ll see seasonality straight away.

Benchmarks: what a “good” STR looks like

There is no official eBay benchmark. The bands below are rules of thumb from years of sourcing. Use them as starting points and adjust once you have your own sales history.

How STR tends to behave by category

These are patterns we see, not measured statistics. They explain why the same 25% can be great in one category and mediocre in another.

A worked example: two jackets, one buy decision

You’re at a thrift store with $40 left in the budget and two jackets in the cart, both $15. The numbers below are illustrative, but this is exactly how the check goes.

Jacket B actually sells more units per month, which is why raw sold counts mislead people. But there are two years of competing supply at the current pace, so yours is one of 600 fighting for 25 monthly buyers. You’d have to undercut hard to move it, and at a $32 median the margin after fees and shipping is thin before you undercut anything.

Jacket A is the buy: 40% STR, about four and a half months of supply, and a median that leaves real room after fees. If you’d only looked at sold counts (60 vs 75), you’d have picked the wrong one.

Turning STR into sourcing decisions

STR on its own doesn’t tell you whether to buy. It tells you how long you’ll likely wait, which changes how much you can afford to pay. Our starting point is the common rule of thumb of paying no more than about a third of expected net, then adjusting for speed:

• Fast (40%+): the full third is fine, and a little more can be justified, because the money comes back quickly.
• Workable (20–40%): stay at a third of expected net or less. You’ll carry it a few months.
• Slow (under 20%): only at a quarter to a fifth of expected net or less, and only if it’s small and easy to store. Slow, bulky and cheap is the combination that fills garages.

“Expected net” means median sold price minus marketplace fees and minus shipping you pay. Our pricing guide walks through that math.

Use STR to price, not just to buy

High STR with a tight price cluster means you can list near the top of the cluster and wait a little. Low STR means the market has already rejected most of the asking prices you can see in the active results. Price off the solds, not the actives, and expect to use Best Offer or scheduled price drops.

Common mistakes

• Searching too broadly. “Nike shoes” gives you a meaningless STR across thousands of different products. Get down to the model, and the size range if size drives price.
• Mixing conditions. New-with-tags and pre-owned are different markets. Filter condition on both the active and sold counts.
• Counting the “fewer words” results. eBay pads thin searches with partial matches below the real results. Only count the top number.
• Letting zombie listings scare you. An active count full of listings priced at double the sold median isn’t really competition; those sellers aren’t selling. If most actives are overpriced, the effective STR at a realistic price is higher than the raw number.
• Ignoring seasonality. A 12% STR on wool coats in August says nothing about November. Check the same period last year in Product Research.
• Reading solds as exact prices. When a Best Offer is accepted, eBay shows the original asking price struck through rather than the accepted amount. Treat struck-through prices as “sold for less than this”. Our Best Offer price tool helps with that.
• Mistaking multi-quantity listings. For new retail items, one listing can represent many units. The listing counts don’t always reflect units, so open a few listings and check “sold” quantities before trusting the ratio.
• Using STR alone. 70% STR on a $9 item with $5 shipping is a fast way to stay busy and broke.