How to Model the ROI of a Benefits Investment so it Survives Your CFO

A reward leader walks into a finance review with a case for better benefits, makes the argument for retention and engagement and employee experience, and watches it lose to a capital request with a spreadsheet attached. The problem is rarely the substance. It's that the value was described in principles when finance works in numbers.

This is how to build those numbers so they hold when someone pushes.

We'll work it through on one example, a business of 10,000 employees across around 25 countries, with every figure shown as a calculation you can run on your own numbers and a benchmark from our work with hundreds of enterprise companies to stand in where you don't have one.

What you'll need

This works as a build-along, so it helps to have your own numbers to hand. You'll want seven, most of them a morning's work to pull together.

They are your headcount, a rough count of benefit tickets a year, a loaded hourly cost for the team, your current spend on local benefits platforms, your total benefits budget, your average salary, and your external hires a year.

Where you can't find one, the benchmarks in each section stand in, and you can refine later.

Count the cost of doing nothing first

Start with the cost you already carry, because it's almost always understated. Most cases price a benefits programme against its invoice and stop there. The invoice is the smallest part of what benefits cost an organisation.

There are three layers worth counting.

Direct costs are the visible ones, the premiums, vendor fees, platform licences and the change fees local systems charge every time something moves.

Indirect costs are the hours the team spends on admin, query handling, provider liaison, and the manual workarounds that exist because a system can't do the job.

Opportunity costs are the consequences, the people who leave, the days lost to absence, the roles that stay open too long.

The admin layer is the one most cases miss, because the people doing the work are already on the payroll. It's invisible until you price the hours, and at enterprise scale it is one of the largest savings on the table. The worked example below prices it out in full.

Separate what you can defend from what you can hope for

Don't hand a finance audience one number built from many different qualities of evidence. A sharp CFO will find the softest assumption in the model and use it to discredit the rest.

Draw the line yourself instead. Direct savings can be audited, the admin hours removed, the duplicate platforms consolidated, the payroll and enrolment errors reduced. Indirect savings are modelled rather than measured, the lower attrition, faster hiring and fewer days lost to absence.

Keep them in their own block, labelled as upside. Saying out loud that tying benefits to attrition is hard does more for the credibility of the hard numbers than a larger combined figure ever would.

Build a range, and argue from the floor

Build a low case and a high case for every line, then make the argument from the bottom of the range. A single number invites a single objection. A range invites a conversation.

Build in time as well. Most savings ramp over the first two to three years rather than landing at once, so show them arriving on that timeline, and assume adoption slower than the software promises. Set retention, the softest input, at a modest level rather than the larger gains benefits programmes often claim. When a case survives the pessimistic version of every assumption, its upside becomes headroom rather than a number to defend.

The worked example

Take a business of 10,000 employees operating across around 25 countries. The direct savings, the ones you can audit, come to £4.6M to £8.1M over three years against a £0.9M platform cost. The indirect upside takes the total higher. Here's how each line is built, with the calculation first and our benchmark behind it, so you can run it on your own numbers.

Benefits admin

The calculation is your annual benefit tickets times the hours each takes to resolve times a loaded hourly cost, plus the hours that go on provider liaison, employee queries and ad hoc work.

If you don't have a ticket count to hand, we see roughly one benefit ticket for every four employees a year, each taking four to six hours. For a 10,000-person business that's around 2,600 tickets, and with liaison, queries and ad hoc work on top the team is spending somewhere between 12,000 and 18,500 hours a year on work the platform removes or automates.

At a loaded cost of £40 to £55 an hour, that is roughly £490,000 to £1.02M a year, or £1.48M to £3.05M over three years. Put your own ticket volume and hourly cost in and the line rebuilds. It's usually the largest direct saving and the easiest to defend, because every hour is one your team is already spending.

Platform consolidation

The input here is your current spend on local benefits platforms, the licences and change fees one platform replaces. Most enterprises this size are running several in parallel. We see around £130,000 a year of duplicate spend at this scale, or £0.4M over three years. Use your own contract figures in place of ours.

Benefit spend optimisation

The calculation is your total benefits budget times the share you can recover once spend is visible in one place, the underused benefits you retire and the rates you renegotiate.

A budget this size tends to sit between £33M and £40M, around £3,300 to £4,000 per employee, and in our experience 5 to 8% is recoverable. Five per cent of £33M is £1.6M; eight per cent of £40M is £3.2M. We've assumed it builds to its full run rate by year three rather than landing on day one, so apply the same lag to your own figure.

Payroll and enrolment errors

The calculation is your headcount times the cost of errors per employee times the share the platform removes, the mischarged employee, the leaver still sitting on a policy after they've gone.

We benchmark the exposure at around £120 per employee a year, which for 10,000 people is £1.2M. Integrating benefits and payroll cuts it by 30 to 40%, worth £360,000 to £480,000 a year, or £1.08M to £1.44M over three years. Swap in your own headcount, and your own error rate if you track it.

Reduced attrition

The calculation is your headcount times the retention improvement in percentage points times the cost of replacing a leaver. This is the softest line, so we model it modestly, a one point improvement and a replacement cost of £20,000 to £30,000 per leaver, around a third to a half of an average £60,000 salary.

One per cent of 10,000 people is 100 leavers avoided, worth £2.0M to £3.0M a year. Use your own salary and turnover, and keep the retention assumption conservative, because this is the number finance will test hardest. It sits in the indirect block for the same reason.

Cost to hire

The calculation is your external hires a year times the days you shave off each fill times the daily cost of a vacancy, plus the offers you stop losing.

External hires tend to run at around 5% of headcount, so about 470 a year here. At a vacancy cost of £250 to £350 a day, filling each role 5 to 10 days quicker is worth £0.6M to £1.65M a year, and avoiding around 25 declined offers adds £0.35M to £0.45M.

Together, around £0.9M to £2.0M a year. Your recruitment team will have sharper figures for time-to-fill and offer decline rates than our benchmarks.

Absence

The calculation is your headcount times working days a year times the reduction in absence times the daily value of the time lost. We've assumed a 0.5 to 1% reduction.

Across 10,000 people on roughly 220 working days each, that is 11,000 to 22,000 days regained a year, worth £1.3M to £2.6M at £120 a day. Use your own absence rate and a productivity value you can defend.

Platform cost

This is the one figure you don't estimate. It's the quote. At this size it's around £300,000 a year, or £0.9M over three years, which we subtract from total savings to reach the net. Use your actual price.

The whole picture

Lead your case with the direct block. It comes to £4.56M to £8.09M over three years, comfortably more than the platform costs, and every line can be audited. The indirect block adds £4.22M to £7.64M on top.

The two columns are read differently. The direct figures are cumulative over three years; the indirect figures are the annual run rate the business reaches by year three rather than a three-year total.

We keep them apart on purpose, so the direct block carries the case on its own and the indirect block reads as upside. Net of the platform cost, the three-year position lands between £7.9M and £14.8M.

What finance will push on

A reviewer's job is to find the weak assumption, so it helps to name the likely challenges before they do.

Automation comes first. If the platform removes less admin than promised, the case still holds. Even at seventy per cent of the automation modelled here, admin savings alone still cover the platform's annual cost.

Retention is the softest line, which is why it sits in the indirect block and carries none of the weight that makes the case pay back. Halve it to a half-point gain and the return survives. The charge of double counting is answered by the structure.

Direct and indirect savings are kept apart, the case rests on the direct block, and the indirect block is upside rather than part of the number that justifies the spend.

The question a CFO asks first is when it pays for itself. On the low case, admin savings alone cover the platform cost inside the first year, before optimisation ramps and before a single indirect pound is counted.

Make it provable

A model only earns trust if the savings can be shown once the system is live. The admin and payroll figures are the easiest to verify and the hardest to fake, which is why they sit at the top of the case and carry the most weight.

The strongest version of this model is one you can return to in twelve months and check against what actually happened. The most practical way to put a figure on your own organisation is to run these lines on your ticket volumes, headcount and attrition rate rather than ours.

Walk in with the numbers

The reward leader at the start lost the room because the case for benefits was a story while the capital request came with numbers. Now you have the numbers, built from your own inputs and weighted towards what you can defend, that will ensure you don’t.

A model only answers the cost question, though. The next step is tying the spend to what the business is actually trying to do this year.

Read the full guide: Why your benefits strategy should follow your business strategy, not your culture deck