CRM ROI Calculator for Recruitment: Turn Fill Rate and Submission Speed Into Money

The leak is the role you took and never really worked

Contingency desks lose money on roles they accepted. A consultant takes a vacancy on Tuesday, sends two CVs on Friday, hears nothing, and by the following week is working something newer. The role stays on the board for a month and is written off. Nobody records it as a loss, because nobody records it at all, which is why most agencies quote a fill rate several points higher than the one their own board would show.

The second leak is the database you already paid for

Every agency owns thousands of candidates it placed, interviewed or shortlisted, and contacts almost none of them until a matching role appears. Those people are the cheapest source of both placements and vacancies, since yesterday's candidate is frequently tomorrow's hiring manager. The asset exists; the contact schedule does not.

Five for a permanent desk. Roles taken per month, counted honestly including the ones abandoned. Fill rate over at least two quarters. Average placement fee, net of rebates. Number of consultants who would hold a licence. And median hours from role taken to first CV submitted.

For a contract desk, replace fee with weekly gross margin per contractor, add average assignment length in weeks, and add redeployment rate, which is usually the largest single lever on a temp desk and the one least often measured.

These are example figures, substitute your own. They are not outcomes, market averages or predictions; they only show where each of your own numbers belongs.

Line B2 is the whole argument, and it is the one line no vendor can supply for you. Notice also that the licence cost here is almost irrelevant next to a single placement, which is why recruitment ROI cases are easy to write and easy to overstate. The hard question is not whether the tool pays for itself; it is whether fill rate moves at all.

Record a baseline: roles taken last quarter, placements, average fee, median hours to first submission, and the number of clients with no contact in 60 days. Note market conditions too, because a hiring freeze in one sector will swamp any software effect.

At 90 days, look at submission speed and BD activity first. Those respond in weeks. Fill rate needs a bigger sample than a quarter provides for most agencies, and with 30 roles a month a five-point move is well inside normal variation. If you must judge early, judge on the leading indicators and hold the fill-rate verdict for a year.

It assumes vacancy supply is fixed, when the same behaviour that lifts fill rate usually lifts role intake as well, which double counts. It assumes every additional placement is delivered at the same fee, when faster desks often take lower-value roles to keep momentum. It ignores delivery capacity: a consultant filling five roles a month cannot fill eight without either working differently or working longer.

It also ignores rebates and fall-offs, which is a serious omission in permanent recruitment, where a placement invoiced in month one can be repaid in month three. Use fee net of historical fall-off, not gross. And if you already run an ATS, most of the fill-rate improvement here may already be yours, in which case the honest case rests on business development and client retention.

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