Your Applicant Tracking System shows that a vacancy took nine weeks to fill. That number is useful, but it does not tell you why. Did plenty of candidates apply but few pass the first screening? Did many candidates reach the client, but hardly anyone got an interview? Or did candidates drop out between interview and offer? Each of those situations calls for a different fix: a better vacancy brief, a sharper submission, faster client feedback or a better offer conversation. Conversion between pipeline stages is the measure that shows where candidates actually get lost. This article explains how to measure stage-to-stage conversion in your Applicant Tracking System: which conditions must be in place first, how to calculate it honestly, how to read the numbers per segment and source, and how to turn them into concrete actions without inventing benchmarks.
The question plays a role in every segment. Recruitment agencies want to know whether candidates stall at the client or earlier in their own screening. Staffing desks handle large volumes where a small leak in the first stages costs many placements. Secondment firms track whether proposed professionals are accepted for an assignment. Executive search firms follow a small number of candidates from longlist to shortlist to appointment. In-house recruitment teams want to show hiring managers where their process slows down. In every case the question is the same: of the candidates who reach a stage, how many reach the next one, and why do the others stop?
Why time-to-fill alone is not enough
Measuring time-to-fill reliably tells you how long the whole process took. It does not tell you which stage caused the delay or the loss. Two vacancies with the same time-to-fill can have completely different problems: one has too few relevant applicants, the other has strong candidates who are rejected by the client after the first interview. Conversion per stage splits the process into steps, so you can see which step deserves attention. It complements time-to-fill and the signal for candidates stuck too long in a stage; it does not replace them.
Conditions before the numbers mean anything
- Every stage has written entry criteria, so moving a candidate means the same thing for every recruiter
- Stage changes are recorded with date and person, so you can see who moved the candidate and when
- Candidates who stop have a recorded outcome: a standardised rejection reason or a recorded withdrawal reason
- The candidate source is recorded at the first application, so you can compare conversion per source
- Candidates are not skipped through stages afterwards just to tidy up the board
Without these conditions a conversion figure looks precise but measures how individual recruiters use the system, not how candidates move through the process.
How to calculate conversion honestly
For each pair of consecutive stages, count the candidates who entered the first stage in a chosen period and how many of them later reached the next stage. Divide the second number by the first. Count each candidate once per vacancy, and follow the same group of candidates (a cohort) rather than comparing this month's entries with this month's exits, because those are different people. Keep candidates who are still active in a stage separate: they have not converted yet, but they have not stopped either. Always show the number of candidates behind each percentage. Three out of four is not the same signal as three hundred out of four hundred.
What to record per stage
- The date the candidate entered and left the stage
- The outcome: moved forward, rejected by you, rejected by the client, or withdrawn
- The reason for rejection or withdrawal, chosen from a shared list
- The vacancy, the client and the segment the candidate belongs to
- The source of the candidate
How to read the numbers
Look for the stage with the biggest drop compared with your own earlier periods, not compared with an industry figure. A low conversion from application to screening can point to a vague vacancy text or a broad advert. A low conversion from submission to client interview can point to a brief that was not clear enough or to candidates who were presented too quickly. A low conversion from offer to acceptance often points to salary, notice period or counter-offers. Combine the conversion with the recorded reasons: the percentage tells you where, the reasons tell you why. Compare per source as well; a source that delivers many applications but few interviews costs time without adding placements.
Differences per segment
Staffing desks usually have many candidates per stage and can see trends within weeks. Executive search firms have a few candidates per assignment, so a percentage per vacancy says little; look at several assignments together and lean more on the recorded reasons. Recruitment agencies and secondment firms benefit from splitting conversion per client, because one client with a slow or strict process can distort the overall figure. In-house teams often split per department or hiring manager to see where interviews do not lead to decisions.
Turning numbers into action
Discuss stage conversion in your weekly pipeline review: pick the one stage with the clearest drop, look at the candidates behind it and agree on one change, such as a sharper brief, a stricter screening question or faster client follow-up. Where useful, include the figures in the weekly progress report to the client, together with the number of candidates per stage. Check after a few weeks whether the conversion in that stage changed, and only then move on to the next one. Avoid targets per recruiter based on conversion alone; that invites candidates being moved forward too early.
A practical start
- Check that every stage has written entry criteria and that stage changes are recorded with date and person
- Make a rejection or withdrawal reason mandatory when a candidate stops
- Choose a period and calculate conversion for each pair of consecutive stages, with the number of candidates shown
- Split the figures per source, client and segment where the volume allows it
- Pick one stage to improve and review the effect after a few weeks
Know where candidates get lost
A pipeline is only as strong as its weakest step. Record stage changes and outcomes consistently, calculate conversion on the same group of candidates and use your own trend to decide where to act. Explore the product or book a demo — we will show how pipeline stages, recorded outcomes and reports work together in BoldATS for your segment.