We studied 622 outbids: median miss $1.58
The outbid email arrives and the auction feels like it was never yours. Most of the time it was much closer than that. Across 90 days of real ShopGoodwill snipes, the typical loss missed the winning price by $1.58, and nearly half of all losses came up short by a single dollar.
We can measure that because BidPulse places last-second bids for ShopGoodwill shoppers. We record the maximum each customer was willing to pay and the final price when the listing closed, which means we know the exact distance between the two. Forums can only trade anecdotes about how close a loss felt. This is the gap, counted.
Between May and August 2026, our customers fired 2,755 snipes that reached a decision and lost 622 of them. The method notes at the end define exactly what counts. Here is the shape of those 622 losses:
- Median miss: $1.58
- 49% missed by $1 or less
- 43% missed by exactly $1.00, ShopGoodwill’s usual bid increment
- 63% missed by $5 or less
Read those four lines together and the story stops being about timing. The bids landed on time. The ceilings were a dollar short.
What “missed by $1” actually means
ShopGoodwill runs on proxy bidding. You enter a maximum, and the site raises your bid only as far as it must to stay ahead of the next bidder, one increment at a time, until it reaches your ceiling or somebody passes it.
When you lose, the one number you are shown is the price the auction closed at. Subtract your maximum from it and you get what this post calls the visible miss: the distance between what you were willing to pay and what the item actually sold for. Set a maximum of $50, watch the lot close at $51, and your visible miss is $1.
The word visible is doing real work in that definition. It is the portion of the gap you are allowed to see, and it is not the whole gap. The winning bidder’s own maximum is never published, so a $51 close tells you the winner was willing to pay at least $51 and nothing more than that.
Proxy bidding is also why so many losses land on a round dollar. When a competitor’s hidden maximum sits above yours, their proxy does not leap to their full ceiling. It steps just past you and stops there, because that is all it needs to do to win. What you see afterward is usually the size of one increment rather than the size of their appetite, which is why the same $51 close is equally consistent with a winner who would have stopped at $52 and one who would have gone to $200.
Keep that limit in mind and the visible miss is still worth a great deal. It cannot promise that one more dollar would have won the item. It can tell you reliably whether you lost a close fight over an increment or were never really in the market, and those two losses call for completely different responses.
The 90-day numbers at a glance
| Stat | 90-day BidPulse snipes |
|---|---|
| Snipes that reached a decision (won or outbid) | 2,755 |
| Wins | 2,099 (76.2%) |
| Clean outbids in this study | 622 |
| Customers | 77 |
| Median miss | $1.58 |
| Average miss | $20.72 |
| Median unused max on wins | $5.44 |
The two miss figures in that table disagree by a factor of thirteen, and the median is the honest one. A small group of expensive lots, mostly jewelry closing above $500, missed by hundreds of dollars each and dragged the average up to $20.72. Strip those outliers out and the ordinary experience reasserts itself at $1.58. Every bucket below uses the full 622 losses, which is why the distribution tells you more than any single summary number does.
Almost half of all losses miss by a single dollar
Averages smooth the story out, so here is the raw distribution instead. Each band counts how far the final price finished above the customer’s maximum.
| Visible miss | Outbids | Share |
|---|---|---|
| $0 (max equals final; usually a tie) | 5 | 0.8% |
| $0.01–$1 | 300 | 48.2% |
| …of which exactly $1.00 | 270 | 43.4% |
| $1.01–$5 | 85 | 13.7% |
| $5.01–$25 | 122 | 19.6% |
| More than $25 | 110 | 17.7% |
The single most striking line in that table is the sub-row: of the 300 outbids inside the $0.01–$1 band, 270 finished at exactly $1.00. That is 43% of every loss in the study landing on the same value, which is far too concentrated to be coincidence. It is the increment itself. Those 270 auctions each ended with a competing proxy stepping one dollar past the ceiling our customer had chosen and then stopping, because that was all it needed to do.
The practical reading is uncomfortable and useful in equal measure. In roughly two of every five losses, the difference between the item arriving at your door and an outbid email was the smallest amount ShopGoodwill will let anyone bid.
How much extra room would have cleared the price
Stacking those bands on top of each other answers the question most people actually want answered: how much extra room would it have taken to clear the final price? The returns fall off quickly, and that shape matters more than any individual bar.
| If your next max had been this much higher | Share of these outbids it would cover as a visible miss |
|---|---|
| $1 | 49.0% |
| $2 | 55.1% |
| $3 | 57.1% |
| $5 | 62.7% |
| $10 | 69.8% |
| $25 | 82.3% |
The first dollar does the heavy lifting, carrying 49% of losses on its own. The next four dollars add only fourteen points, and the twenty dollars after that add nineteen more. Spending is not what wins these auctions. Clearing the increment is.
One caution before you act on it: this table measures coverage of the visible miss, not a win rate. Pushing $3 higher would have put you past the closing price in about 57% of these losses, but some of those winners still had room above that and would simply have bid again. Many had almost none. That asymmetry is exactly why the cushion we recommend in the tie-breaker guide is $1 to $3 over a round number rather than $20. The small cushion is cheap when it fails and decisive when it works, while a large one mostly just raises the price you pay on auctions you were already winning.
The same losses, measured as a percentage
Dollars hide scale: missing $5 on a $12 lot is a different story from missing $5 on a $400 lot. On the same 622 outbids (every final price in this set was at least $5):
| Miss vs final price | Share |
|---|---|
| 2% or less | 20.9% |
| 5% or less | 42.6% |
| 10% or less | 61.4% |
| More than 20% | 29.6% |
| Median | 6.3% |
Scaled this way, the losses split into two distinct populations rather than one. Roughly four in ten finished within 5% of the closing price, which is a near miss in any language. Another three in ten were beaten by more than 20%, meaning the market cleared well above the number our customer had settled on. That second group was never a timing problem or a ceiling problem. It was a valuation gap.
Both populations are real, they are close to the same size, and they call for opposite responses. The coaching section at the end treats them separately for that reason.
Cheap lots lose by a dollar, expensive lots lose by hundreds
The one-dollar fight is not spread evenly across the catalog. It concentrates almost entirely at the cheap end, while the expensive end is where the blowout losses live.
| Final price | Outbids | Missed by $1 or less | Missed by $5 or less | Average miss |
|---|---|---|---|---|
| Under $25 | 150 | 74.0% | 92.7% | $1.90 |
| $25–$100 | 300 | 41.7% | 58.3% | $8.64 |
| $100–$500 | 142 | 43.0% | 47.9% | $28.42 |
| $500+ | 30 | 26.7% | 26.7% | $199.01 |
The same $5 cushion behaves completely differently at each end of that table. Under $25 it would have cleared 93% of the visible misses, because at those prices a few dollars is a large fraction of the item’s value and almost nobody is fighting past it. Above $500 the identical cushion covers about 27%, and the average miss balloons to $199.
That contrast is a fair description of where bidding discipline breaks down. On inexpensive lots people set a sensible number and lose to an increment. On expensive lots they set an aspirational number and lose to the market, which is a considerably more expensive habit and the one worth fixing first.
The categories decided by one dollar
Our published category win rates already show where BidPulse customers win most often. This table asks a narrower question: where do they lose by a single dollar? Only categories with at least 15 losses appear, so no handful of listings can distort a rate.
| Category | Outbids | Missed by $1 or less | Missed by $5 or less | Average miss |
|---|---|---|---|---|
| Watches | 77 | 67.5% | 75.3% | $6.85 |
| Women’s Watches | 21 | 61.9% | 76.2% | $8.47 |
| Shoes Women’s | 22 | 59.1% | 63.6% | $10.35 |
| Purses | 43 | 55.8% | 79.1% | $5.44 |
| Necklaces | 24 | 54.2% | 58.3% | $43.59 |
| Costume Jewelry Grabbags | 28 | 53.6% | 57.1% | $25.14 |
| Men’s Watches | 27 | 51.9% | 77.8% | $6.66 |
| Accessories | 20 | 50.0% | 65.0% | $7.69 |
| Jewelry Sets | 21 | 47.6% | 61.9% | $32.28 |
| Pendants | 15 | 46.7% | 60.0% | $11.01 |
| Bracelets | 18 | 44.4% | 50.0% | $36.74 |
| Shoes Men’s | 59 | 37.3% | 54.2% | $12.90 |
Watches sit at the top of the table and carry the highest volume on the platform, which makes them the clearest example of a one-dollar sport: two in three watch losses came up short by a dollar or less. Purses behave much the same way, with 79% of those losses landing within $5. In categories like these, the cushion is close to the entire strategy.
Necklaces, bracelets, and jewelry sets show the opposite face of the data. Plenty of individual losses there were still one-dollar fights, but the average miss climbs to $30 or $40 because a minority of lots close far above any sensible ceiling. That is gold and gemstone pricing exerting its own gravity rather than anything going wrong with a bid. Men’s shoes are a third pattern again, and the least forgiving of the three: only 37% of those losses were a one-dollar miss, with most of the rest landing in the mid range, which fits the crowded reseller competition we documented previously.
Even the wins are close
On 2,098 of those 2,099 wins (one lacks a usable closing price), the median unused max (what you were willing to pay minus what you actually paid) was $5.44.
| Unused room on wins | Share of wins |
|---|---|
| $0 (won at your max) | 3.9% |
| $0.01–$5 | 41.7% |
| $5.01–$25 | 34.8% |
| More than $25 | 19.6% |
Proxy bidding is doing its job: you rarely pay your full ceiling, and the typical win still had only about five dollars of room left. Put the two medians next to each other:
- Typical loss: you needed $1.58 more.
- Typical win: you had $5.44 left.
Those two figures describe different populations, so they do not add up to a single range. Read side by side, though, they say the same thing from both directions: on a typical loss you were a couple of dollars short, and on a typical win you had a few dollars to spare. Most contests are settled by small margins rather than by a decisive gap in willingness to pay.
That is an argument for choosing your maximum deliberately rather than rounding it off. This data cannot tell you what the winning bidders typed, since we only see the final price. It can tell you that in a market decided this narrowly, a couple of dollars of deliberate cushion is cheap insurance. The tie-breaker rule explains why that cushion belongs above a round number.
How to set your next max bid
Everything above reduces to one habit worth building. Pull up your last several losses, note how far the final price beat your maximum in each one, and sort them into two piles at roughly the $25 line. The two piles have almost nothing in common, and treating them identically is the most common mistake we see.
1. The near miss: beaten by $5 or less
This describes 63% of the losses in this dataset, and it is a ceiling problem rather than a strategy problem. Four steps fix it:
- Decide if the item was a must-have or a nice-to-have before the next similar lot.
- On must-haves, add $1–$3 above round numbers. Bid $52, not $50. Bid $103, not $100. That is the price cushion that beats the increment and most ties.
- Keep the bid in the final seconds. If you show $52 on Tuesday, someone can type $53 on Wednesday. Last-second bidding is how you keep the cushion private.
- On lots under $25, treat +$1 as the default. Three in four of those outbids were already a one-increment fight.
There is a limit to this, though, and it arrives faster than people expect. Do not keep adding a dollar indefinitely to the same kind of listing. If two similar watches have already gone against you by a dollar each, the third one is telling you something about that item’s real clearing price, and the answer is a fresh valuation rather than another increment.
2. The far miss: beaten by more than $25, or more than 20%
This covers 18% of losses measured in dollars and 30% measured as a share of the closing price. Nothing went wrong here, which is the part that takes some getting used to. You did not narrowly miss a deal; somebody else was willing to pay more than the item is worth to you, and the auction correctly went to them. The work is in confirming that your number was the right one:
- Write down your walk-away number before you watch the countdown. Include shipping.
- Run the listing through the free ShopGoodwill Max Bid Calculator. Paste the URL, add your ZIP, and see whether eBay sold comps still leave a profit at a higher max.
- If the calculator’s max is below the current bid, skip it. That message is the feature.
- In jewelry and gold-heavy lots, believe the far-miss table. Average necklace and bracelet misses in this set were $30–$40. Comp the melt or the solds. Do not “just go $10 more” on a $400 lot.
When the final price lands 20% above your number, walking away is not a loss you absorbed. It is money you still have, and the next comparable lot is usually days away rather than months.
3. Match the tactic to the category
The category table earlier gives you a reasonable prior before a listing even opens, so use it to decide how much research a lot deserves:
- Watches, women’s watches, purses: expect a $1 war. Cushion plus snipe.
- Men’s shoes: expect more mid-range misses. Research comps harder. Lose more often on purpose.
- Necklaces, bracelets, jewelry sets: expect a mix. Some $1 fights, some blowouts. Cap your bid with metal value, not hope.
Whichever pile a loss lands in, read the dollar gap rather than the clock. A miss of a dollar means your ceiling was slightly too low. A miss of eighty means your valuation was well off. Neither of them means the bid arrived late.
Free tool: find your walk-away number first
Both kinds of loss in this study trace back to the same thing: a maximum that was chosen quickly and never really tested. Paste a ShopGoodwill listing into the free Max Bid Calculator, add your ZIP, and it returns a walk-away maximum with shipping and eBay sold comps already accounted for. No account required.
If you want that max placed in the final seconds without sitting on the countdown, see how BidPulse sniping works or pick a plan.
How we measured this
- Window: auctions ending in the 90 days through August 14, 2026 (Eastern Time).
- Population: BidPulse snipes with status won or outbid. Cancelled, pending, and failed bids are out. Demo auctions and internal test accounts are out.
- Unit: one row per customer per auction, using that customer’s highest max bid.
- Visible miss:
final price − max bidon outbids. - Noise removed: 34 of 656 raw outbids (5.2%) had a stored final price below the max. Those look like odd-cent or tie artifacts. They are not in the tables.
- What we cannot see: the winner’s hidden max, unless that winner was also a BidPulse user. In this window, no two BidPulse customers sniped the same item, so we do not publish a “true max gap.”
- Increment: ShopGoodwill’s usual step in this dataset is $1.
Live category win rates update on the Leaderboard. This outbid-gap snapshot is the 90-day window above. Related reading: Why a max bid can still lose, the tie-breaker rule, and 5 reasons ShopGoodwill auctions are lost.