Key Takeaways
  • Active listings show what sellers want — only sold listings show what buyers paid
  • Median sold price is more reliable than average because outliers skew the average badly
  • There are three pricing strategies: fast sale, balanced, and margin-maximising — pick based on your cash position and stock depth
  • The Best Offer play: list 8–10% above target and let buyers negotiate down to your number
  • No sale after 30 days? Drop price 5–8% or relist. No sale after 60 days? Reassess the whole product

Two sellers. Same product. Both getting the pricing wrong — just in opposite directions.

The first one checks eBay, sees listings at £65, lists at £60 feeling clever. Three weeks later: no sale, £65 is still sitting there unsold too. Active listings are not proof of anything except that someone hoped for £65.

The second seller checks the sold tab, sees most items sold for £34–£42, lists at £38, sells within four days. Same product. One person looked at the right data.

Pricing is the variable most directly under your control. Get it wrong and you either leave margin on the table or collect dead stock. This guide covers how to get it right.

Why Active Listings Will Lead You Astray

This is the single most common mistake new eBay resellers make. They search for their product, see what everyone is charging, and anchor to that number. The problem: those are asking prices, not transaction prices.

Take a vintage denim jacket. You search eBay and see 47 active listings ranging from £45 to £85, clustered around £65. That looks like the market rate. But filter to sold items and you'll see the last 12 sold for £30 to £44, with most closing around £38.

Real Example — Vintage Denim Jacket

Active vs Sold: a £27 gap

Active listings (median ask) £65
Sold listings (median sold price, last 90 days) £38
Gap between ask and reality −£27 (41%)
Verdict Price at £38–£42, not £65

Those £65 listings aren't proof of value. They're proof that 47 sellers are hoping. The only data point that matters is the price at which a real buyer clicked "Buy It Now" or accepted an offer. Everything else is noise.

This is also why checking the sell-through rate matters before you buy stock — if the STR calculator shows only 12 sales against 47 active listings, most of those sellers are waiting indefinitely. You'd be joining the queue.

The 5-Step Pricing Research Method

This takes about five minutes once you've done it a few times. Do it for every new product before you commit to a sourcing price.

  • 1

    Search for your exact item

    Be as specific as a buyer would be. Include model number, colour, size, storage capacity, condition — whatever matters for this category. Broad searches mix in irrelevant variants. An iPhone 13 128GB unlocked in good condition has a completely different price profile to an iPhone 13 256GB factory unlocked in pristine condition.

  • 2

    Filter to Sold Items

    On desktop: left sidebar → "Sold Items." On mobile: Filters → Show Only → Sold Items. Every time. No exceptions. If this filter isn't applied, you're looking at fiction.

  • 3

    Filter to the last 90 days

    Use the date filter in the left sidebar. Sales from 12+ months ago may reflect a different market — older tech, out-of-season fashion, discontinued products, or a pre-tariff price. 90 days gives enough volume to be statistically meaningful while being recent enough to be actionable.

  • 4

    Remove obvious outliers

    Scan the prices and flag anything anomalous: bundle sales (two items sold together), heavily damaged items with low prices, or suspiciously high sales that might be shill bids or private sales. Remove these from your mental dataset before calculating the median. Outliers don't tell you what a normal buyer paid — they distort the picture.

  • 5

    Find the median, not the average

    Write the prices in order, lowest to highest. The middle number is your median. This is your anchor price. The next section explains exactly why median beats average — and why the difference matters more than you'd expect.

Privy for eBay

See median sold price without the manual counting

The Privy Chrome extension shows median sold price, average sold price, and sell-through rate automatically on every eBay listing — no filtering, no spreadsheets, no five-minute research ritual every time.

Try Privy Free

20 free lookups. No card required.

Why Median Beats Average for eBay Pricing

This sounds like a statistics lecture but it has a very direct practical consequence for your pricing decisions, so bear with it.

Say you sell five identical items and the prices are: £30, £32, £31, £34, £78.

The average is £41. The median is £32. Which one tells you what most buyers paid? Clearly the median. That £78 sale almost certainly has a story — maybe a rare variant was listed alongside your product, a buyer panicked on the last day of Christmas shopping, or it was a private sale at an inflated price. Whatever the reason, pricing at £41 because the average was £41 would almost certainly leave your listing sitting there while everything priced at £30–£35 sells through.

Worked Example — Median vs Average

Five sales: £30, £32, £31, £34, £78

Average (mean) £41.00 — distorted by outlier
Median (middle value) £32.00 — what most buyers actually paid
Where to price £30–£35 — competitive without panic-discounting

Average is faster to calculate but median is more useful. For eBay pricing specifically, where a single outlier sale (a bundle, a desperate buyer, a mistake) can be 2–3x the normal price, the average reliably misleads.

Note on sample size

If you only have 3–4 sold listings in 90 days, the median is less reliable — you just don't have enough data. Treat it as directional rather than definitive. A small sold sample also suggests low demand, which is a separate problem worth investigating before you commit to buying stock. Check the saturation signals before going further.

Three Pricing Strategies — Pick One Per Product

Once you have the median, you have three options. The right choice depends on your cash position, your stock depth, and how competitive the market is.

Fast Sale

5–10% below median

Use when you need cash quickly, you have a lot of units to move, the market is competitive, or you're a newer seller with limited feedback. You trade margin for velocity. Don't go lower than this unless you've already established the median is moving downward.

Balanced

At the median

The default position for most products. You're neither giving margin away nor positioning yourself as the expensive option. Works well when your listing quality (photos, description, feedback score) is average or better for the category. Most experienced resellers start here.

Margin First

5–10% above median

Use only when you have a clear edge: better condition than comparable sold items, more comprehensive listing (extra photos, full description), strong seller feedback (1,000+), or you're in no hurry to sell. Expect a longer listing time. Don't use this by default — it requires a genuine reason buyers would pay the premium.

A quick note on undercutting: the instinct to be the cheapest listing is usually wrong. You're not competing against all 47 active listings — you're competing against the 5–8 listings at a similar condition and quality level. Price relative to those, not the floor.

The Best Offer Play

Best Offer is underused by resellers who calculate their target price and list right at it. Here's a better approach.

List 8–10% above your true target price. Enable Best Offer.

You now capture three types of buyer:

  • Buyers who pay full price without negotiating (pure upside)
  • Buyers who offer something — you counter or accept, landing near your actual target
  • Buyers who offer too low — you decline, and the listing stays live

The practical effect: you don't publicly advertise a lower price, but you still close sales with bargain hunters. You set an auto-accept threshold (usually your target price or just above) and an auto-decline threshold (usually 15–20% below ask), so low-ball offers are rejected without manual intervention.

Example — Best Offer setup

Target price: £50

List price (Best Offer enabled) £55
Auto-accept threshold £50 (your true target)
Auto-decline threshold £42 (below which you don't deal)
Result Full-price buyers pay £55. Negotiators land at £50–£54. Low-ballers auto-rejected.

Best Offer works particularly well for items with a wide active price range — vintage clothing, used electronics, collectibles, anything where "fair value" is subjective. For commodity products with a tight price band (where buyers know the market rate), it adds less value.

When to Reprice vs Relist

A listing that isn't selling needs a decision. The mistake is waiting indefinitely, checking every few days, doing nothing. Here's the framework.

14
days

Don't touch it yet

Give every new listing at least two weeks before drawing conclusions. eBay's algorithm takes time to index and distribute a new listing. Early views are lower than steady-state. Repricing at day 7 because you've had no enquiries is a false signal.

30
days

First action point

Still no sale after 30 days? Two options: (1) Drop price 5–8% and wait another two weeks. (2) Use "Sell Similar" to create a fresh listing — this resets its position in search and sometimes gives a visibility bump. Don't end and relist as a duplicate; use Sell Similar specifically.

60
days

Reassess the product

No sale after 60 days at a lower price means the issue probably isn't the price — it's the market or your listing. Go back to the sold tab: has the median price fallen since you bought? Are there new high-volume sellers dominating the first page? Check the saturation signals. If the market has structurally shifted, decide whether to hold, drop to cost price to clear, or accept the loss and move on.

The "Sell Similar" trick

When you end a listing and relist it, eBay knows it's the same listing. The "Sell Similar" button creates a genuinely new listing with a new item ID — it gets treated as fresh stock by the algorithm. Use it at the 30-day mark for slow movers instead of just repricing in place.

One thing to protect: don't reflexively drop price every time an item doesn't sell in the first two weeks. Some products have a 3–4 week natural cycle. The sell-through rate calculator gives you a benchmark for how often comparable items sell — if the STR for your product is 40%, you should expect 6 out of 10 listings to sell, not 10 out of 10. Some patience is rational.

Frequently Asked Questions

Always base your price on sold listings, not active ones. Filter eBay to "Sold Items" for your specific product, find the median sold price over the last 90 days, and price within 10% of that. Active listings show what sellers want — sold listings show what buyers actually paid.

It depends on your condition and listing quality. If your item is in better condition or you have strong feedback, price at or slightly above the median sold price. If you want to sell fast or you're newer with fewer reviews, price 5–10% below the median. Never undercut just to be the cheapest — that erodes margin without necessarily winning the sale.

Give a new listing at least 14 days before making changes. If it still hasn't sold after 30 days, drop the price by 5–8% or relist using "Sell Similar" to reset its position. If it hasn't sold after 60 days at a lower price, reassess the product — check current sold prices and decide whether to hold, drop further, or cut your losses.

List 8–10% above your true target price and enable Best Offer. Buyers who want to negotiate will offer something, and you can accept, counter, or decline. Set an auto-accept at your target price and an auto-decline at 15–20% below ask. This lets you capture full-price buyers while still closing deals with bargain hunters — without publicly advertising a lower price.

Yes. eBay's algorithm considers price competitiveness relative to similar sold items. Listings priced too far above comparable sold prices rank lower. Competitive pricing combined with strong sell-through history and good feedback is the most reliable combination for staying visible in search results.

RM
Ryan M
Founder, Privy

Built Privy after years of sourcing eBay resale products manually. Privy automates the sold-data research so you get median price, STR, and competition data in one click instead of five minutes of tab-switching.