Original research
How long a job advertisement actually stays open
Job seekers are told to apply early, and almost never told how early. We read 54 large employers’ own career sites every night for six weeks and watched 55,942 postings until they were taken down, which gives a direct answer rather than an estimate: on the median employer’s board, a quarter of postings are gone within 7 days and half within 22.
Published by MatchRadar, Romania · Last updated
What we found
Across 54 employers, 55,942 postings and 26,042 confirmed removals, the median employer loses a quarter of its live postings within 7 days, half within 22 and three quarters within 48. Those are Kaplan-Meier estimates, so postings still open at the end of the study are counted as still open rather than quietly dropped.
The spread between employers is the more useful half of the result. The middle half of employers lose half their postings somewhere between 15 and 30 days, but the full observed range runs from 5 days to 71. An employer’s own hiring rhythm moves this figure more than the seniority or the field of the role does.
- A quarter gone: 7 days for the median employer (middle half 6–11, full range 1–51)
- Half gone: 22 days for the median employer (middle half 15–30, full range 5–71)
- Three quarters gone: 48 days for the median employer (middle half 33–62, full range 14–120)
- 26,042 of 55,942 tracked postings were confirmed removed during the study
Why counting the ordinary way gives roughly double
We computed the same number the ordinary way first, and it came out at 50 days rather than 22. The difference is one correction, and it applies to any study that starts watching a job board partway through its life.
If you begin counting today, the postings already on the board are the ones that survived long enough to still be there. Short-lived postings from last month are invisible to you, so the sample is selected for longevity. The fix is standard — each posting joins the analysis at the age it had when it was first seen, rather than at day zero — and here it more than halved the answer.
This matters when comparing figures. A shelf-life number quoted without saying how survivors and late arrivals were handled is not comparable with this one, and is more likely to be too long than too short.
How the measurement works
Every night we read entire career boards — not search results — for a set of employers on Workday, SmartRecruiters and Ashby. Reading a board in full is what makes the measurement possible: when a posting is no longer on the board, the employer has taken it down. A keyword search cannot support that inference, because a posting can be missing simply because the search did not match it.
A posting’s age is measured from the date the employer’s own system reports for it, not from the date we first saw it. A posting counts as removed only after it has been absent from two consecutive full reads, because a single missed night can be a throttled server rather than a withdrawn advert.
- Age measured from the source system’s own publication date
- Removal requires absence from two consecutive complete reads of the board
- Postings still live at the end are censored, not discarded
- Postings first seen after their publication date enter the analysis at that age
- Boards where our own fetch was truncated, or that returned nothing, are excluded
What this does not say
The sample is 54 large employers whose boards we read for our own members — weighted towards pharmaceuticals, industrial manufacturing and enterprise technology, and towards Europe. It is evidence about how those employers behave. It is not a random sample of job advertisements, and it should not be quoted as one.
A removed posting is not the same as a filled role. Employers withdraw advertisements for many reasons: the requisition is filled, the search is paused, the posting is rewritten and republished, or the board is tidied. What is measured here is how long the advertisement is visible to a candidate, which is the thing a job seeker can actually act on.
Two large sources were deliberately left out. One reports a last-modified date rather than a publication date, so an employer editing a posting would have looked like an employer replacing it. The other is dominated by a single aggregator that rotates its listings on a weekly cycle, which would have published one company’s product decision as a fact about the labour market.
What to do with this
The practical reading is that the first week carries most of the risk. On a typical board a quarter of what you can see today will be gone within it, and on the fastest quarter of employers that happens in under a week for half the postings.
That argues for reviewing new postings on a short cycle rather than saving a long list for the weekend, and for spending the tailoring effort on fewer, better-matched roles. It does not argue for applying faster to more things: a removed posting you were never suited for cost you nothing.
The figures on this page
- until a quarter of a typical employer’s postings are gone
- 7 days
- until half of them are gone
- 22 days
- postings tracked across 54 employers
- 55,942
Measured on . A dated observation from our own nightly reads of 54 large employers’ career sites, not a survey of the job market. Corrected for the two things that make a shelf-life figure too long: postings still open when we stopped counting, and postings that were already old when we started watching. The method is set out above in full.
Common questions
How long does a job posting stay up?
On the median employer we tracked, half of all postings were removed within 22 days and a quarter within 7. The full range across 54 employers runs from 5 days to 71, so the employer matters more than the role.
Why is this shorter than other figures you see?
Most published figures do not correct for the postings that were already on the board when counting began. Those are selected for being long-lived. Computing this study both ways gave 50 days uncorrected and 22 days corrected.
Does a removed posting mean the job was filled?
No. Employers also withdraw advertisements when a search is paused, rewritten or republished. The study measures how long the advertisement is visible to a candidate, not the outcome of the hiring process.
Can I reproduce this?
The method is stated above in full: read whole career boards nightly, measure age from the source system’s own publication date, require two consecutive absences before calling a posting removed, and use a left-truncated Kaplan-Meier estimator so survivors and late arrivals are both handled.
How current is this?
It was measured on 30 August 2026 over six weeks of nightly reads. The figures are a dated observation and will move as the sample and the market move.
Can I ask about the method, or get the underlying figures?
Yes. Write to [email protected] and say which figure you are checking. We will answer with how it was computed, the sample it came from and the date it was measured — including the cases where the honest answer is that we cannot tell.