Job boards display a surprising amount of data, and most candidates ignore it or misread it. Used properly, these numbers let you prioritise your effort - which matters far more than application volume.
The numbers you can see, and what they mean
Applicant count. Displayed on many LinkedIn and Indeed postings. Useful with two caveats: it counts applications through that platform only, and it includes everyone who clicked apply regardless of suitability. Treat it as a measure of visibility, not of competition quality.
Posting date and repost history. The most informative and most overlooked field. A role posted three days ago is worth far more effort than one posted in March and reposted monthly. Reposting usually signals a stalled or pipeline posting - see real or ghost postings.
"Be an early applicant" flags. Genuinely meaningful. Many high-volume postings are effectively shortlisted from the first tranche.
Salary range. Increasingly displayed, and where present it saves everyone time. Where absent from an otherwise detailed posting, it is worth asking early.
Number of similar postings from the same employer. Dozens of near-identical adverts across locations usually indicates pipeline building rather than specific vacancies.
Company follower and employee counts. Useful proxies for how much volume a posting will attract. A famous employer draws applicants regardless of role quality.
How to use them to prioritise
Build a simple scoring habit. For each posting, note: days since posted, applicant count, whether salary is stated, whether a named contact exists, and how well you match the core requirements.
Then allocate effort accordingly:
- Posted recently, moderate applicants, strong match, salary stated: full effort - tailored CV, researched cover note, attempt a referral
- Older posting, high applicants, weak match: skip entirely
- Recent, low applicants, specialist requirement you meet: highest priority, these are the best odds available
- Reposted repeatedly, no named contact: minimal effort or none
Most candidates apply with uniform effort to everything. Varying effort by expected return is the single biggest efficiency gain available in a job search.
The statistics to compute yourself
The platform numbers describe the posting. These describe your position:
- Your response rate, by source. Job boards, direct applications and referrals will differ dramatically - and knowing by how much tells you where to spend your time.
- Applicant counts by segment. Record twenty postings' applicant counts, split by remote/hybrid/on-site. The difference is usually stark and immediately changes targeting.
- Time-to-response by employer type, which tells you which processes are actually moving.
The caveats worth holding
These numbers are not audited, are platform-specific, and can be gamed. Applicant counts exclude other channels. Posting dates reset on repost, sometimes hiding a role's real age. Treat them as weak signals to be combined, not as facts.
That is the right way to treat most observational data: informative in aggregate, unreliable individually. Combining several weak signals into a defensible judgement is a genuine analytical skill - see reading business data critically.
The Statistics for Business course at London School of Business UK develops exactly that. Enquire today.