Why eBay's Suggested Price Is Wrong (and How to Check It in 30 Seconds)

By SaleHistory Editorial · Published · 2 min read · Sold Comps for Resellers
eBay's suggested price can be wrong because it's built from 'similar items,' which can mix new and used condition, include large lots, match the wrong variant, or even compare you to your own listings. Before accepting it, check sold listings for your exact item in your exact condition, drop lots, and take the median. If the suggestion is far from that median, trust the sold comps.
A new-in-box Game Boy Color with eBay's suggested price of $54.99 next to a median sold price of $142 for new copies with no lots

"Why does eBay suggest that I list a mint condition new in box rare item for the price of a pre-owned fair condition same/similar item?" That question pulled in dozens of replies on r/eBaySellers in September 2026, mostly from sellers with the same story.

The suggestion isn't malicious. It's built from "similar items," and similar is doing a lot of work.

Table: a new-in-box Game Boy Color suggested at $54.99 vs a clean median of $142; 16 booster packs suggested at $1,108 vs $151 because a 350-pack lot was counted; an SNES Jr. suggested at $89.99 vs $171.75 because the original model was mixed in
Illustrative examples of the three patterns sellers report.

Three ways the suggestion goes wrong

1. Condition gets mixed

Your item is new in box. The "similar items" include used, worn and incomplete copies. The suggestion lands somewhere in the middle, which is too low for yours. This is the most common complaint.

2. Lots get counted as one item

One seller noticed their 16 booster packs being compared against a sale of 350 packs for $2,425. Treat that as one "item" and 16 packs look worth ten times more than they are. Lots can push suggestions too high just as easily as condition pushes them too low.

3. Wrong variant, or your own listings

The original SNES and the smaller SNES Jr. sell at different prices. Same for colors, editions and sizes. And some sellers report the comparison included their own listings: "eBay gave me a low ball suggestion and as the comparison it showed me other things I had listed myself."

Check it in 30 seconds

  1. Search your exact item: model, edition, size.
  2. Filter Sold items and your condition.
  3. Skip lots and bundles.
  4. Take the median of what's left, and check you have at least 10 sales.

If the suggestion is within about 10% of that median, fine. If it isn't, trust the sold comps. Full method: how to pull eBay comps fast.

Checking a whole inventory

If you list in volume, check suggestions in bulk. Sold-listings data filtered by condition, with lots excluded, is exactly what the suggestion skips:

GET https://api.soldcomps.io/v1/sold?q=game+boy+color+dandelion&condition=new
→ stats.median: 142.00 (lots excluded)

Put that next to each item in a sheet with our Google Sheets formula and you'll see every bad suggestion at a glance.

Building a listing tool? Here's how AI listing tools should price from sold comps.

Frequently asked questions

Why is eBay's suggested price so low?

The suggestion is based on similar items, which can include used or damaged copies when yours is new, or cheaper variants of the same product. That pulls the suggestion down.

Why is eBay's suggested price too high?

Large lots can be counted as if they were single items. Sellers report a 350-pack lot making 16 packs look worth ten times more than they are.

Should I use eBay's suggested price?

Use it as a prompt to check, not as the price. Compare it against the median of sold listings for your exact item and condition, with lots removed.

Sources

  1. r/eBaySellers: Why does eBay suggest a pre-owned price for a new-in-box item? (Sep 2026) (accessed Oct 22, 2026)
  2. r/ebaysucks: 16 booster packs vs a 350-pack lot in eBay's pricing (Sep 2026) (accessed Oct 22, 2026)

SaleHistory sells an eBay sold-listings API, so we have a commercial interest in this topic. We link primary sources so you can check our work. Spotted something out of date? Email hello@soldcomps.io.