LiftArchive has 112 A/B tests that lost, shared by 44 practitioners and companies.
Losing tests are rarer in public than in real life, which makes each one worth more: it shows a change that looked like a good idea and still hurt the numbers.
Why losing tests matter
Most teams lose more tests than they win, so knowing what tends to lose saves you a test slot.
A loss also protects you: without the test, the losing change would have shipped and quietly cost money.
Patterns: what tends to lose
Ecommerce elements with the highest share of losing tests (at least 10 tests each):
| Element | Lost | Of tests | Loss share |
|---|---|---|---|
| Countdown timers | 3 | 22 | 14% |
| Collection banners & headers | 3 | 25 | 12% |
| Ad-to-page message match | 2 | 17 | 12% |
| Trust badges & security seals | 5 | 56 | 9% |
| Checkout steps, fields & flow | 3 | 35 | 9% |
| Layout, fonts & visual design | 17 | 215 | 8% |
| Benefit, problem, how-it-works & results sections | 2 | 26 | 8% |
| Add-to-cart & CTA buttons | 6 | 82 | 7% |
| Navigation & mega menus | 9 | 128 | 7% |
| Filters, sorting & site search | 6 | 87 | 7% |
Where the losses happened:
How to read a loss
Check the sample first: a small test can “lose” by chance.
Look for a novelty effect: some changes dip at first and recover once regulars get used to them.
Split by segment: a change can lose on mobile and win on desktop, or the other way round.
Then decide whether to retest a better version of the idea or drop it.
Every losing test in the database is listed below the article, with filters.
Cite this data
Free to quote with a link back to this page.
LiftArchive, “112 A/B tests that lost, and what they teach”, November 2026. https://liftarchive.com/research/losing-ab-tests/