I've lost count of how many times I've heard this objection: "An incentive program costs too much."
The problem isn't the answer. It's the question. Nobody would say a salesperson costs too much without first asking how many sales they generate. The same goes for an incentive program: cost is only half of the equation. The other half is the return.
And the return, in this case, can be calculated precisely.
The formula behind the ROI of an incentive program
The ROI of an incentive program depends on four main variables. These aren't rough estimates: they're parameters that every company can measure on its own client portfolio.
1. The total investment.
How much you decide to allocate to the program, expressed as a percentage of revenue. It usually starts at 1%, rarely exceeding 5%. The right threshold depends on your industry's profitability and how hard you want to hit the accelerator.
2. The percentage of points actually spent.
Not all accumulated points get redeemed. Some participants will never reach the minimum threshold for the reward, others won't cash in before the deadline. This parameter, also called breakage, reduces the real cost of the initiative compared to the nominal investment. With an 80% redemption rate, the actual investment on 1,000 euros allocated is 800 euros.
3. The expected revenue increase.
The percentage of growth the incentive program generates compared to the starting revenue. A common result, in well-structured programs, is an increase between 10% and 30%. It depends on the industry, the maturity of the client portfolio, and how well the mechanics are calibrated to the right objectives.
4. Industry profitability.
The revenue increase is worth as much as the margin sitting on top of it. A 20% increase in an industry with 20% profitability generates a very different profit gain compared to the same increase in an industry at 10%.
A concrete example with the simulator's numbers
Take me at my word and let's do the math together, starting from a real case.
Starting revenue: 100,000 euros.
Investment: 1% = 1,000 euros allocated.
Points actually spent: 80%.
Actual investment: 800 euros.
Revenue increase generated by the program: 20% = 20,000 euros more.
Increase in premium product sales: 20% (the mechanics incentivize high-margin lines).
Industry profitability: 20%.
Profit increase = 20,000 × 1.20 × 20% = 4,800 euros.
ROI = 4,800 / 800 = 6x.
Every euro invested returns six. And this is a conservative example, with the parameters set at the slider's minimum values.
The detail that changes everything: actual investment
The concept of actual investment is one of the least understood outside the industry.
When you allocate 1,000 euros for an incentive program, you're not spending 1,000 euros. You're creating a reward potential that only a portion of participants will cash in. Those who don't reach the target, those who forget, those who participate but don't complete the journey: all of them contribute to reducing the real cost of the initiative.
This isn't a flaw in the program. It's a structural feature that makes it financially advantageous compared to a direct discount, where instead the cost is 100% certain from the very start.
Why calculate ROI before starting, not after
Most companies evaluate an incentive program after the fact: they look at year-end revenue and try to figure out whether it was worthwhile. The problem is that, in hindsight, it's difficult to isolate the program's effect from everything else.
Calculating the expected ROI before launch serves three purposes:
Deciding whether it's worth doing, by comparing the expected return with the cost of the initiative.
Setting the right parameters, by choosing the correct investment percentage for your industry and calibrating targets based on historical purchase data.
Having a benchmark, a reference point against which to compare actual results and understand where to intervene if something doesn't go as planned.
How AI enters into the ROI calculation
A simulator gives you the answer for a static scenario. AI goes further: it analyzes your real client portfolio, models different scenarios by client cluster, identifies which segments have the highest growth potential, and suggests where to concentrate the investment to maximize the return.
It's not a calculation done once a year. It's continuous monitoring that, during the program, flags which clients are falling below target and where an area manager's intervention is needed before the window closes.
The AI platform for sales from Salestack integrates this kind of analysis directly into the daily management of the incentive program. You can start with the ROI simulator to get an initial personalized estimate, then build the mechanics on your real data.
The question I'll leave you with
Have you ever calculated the expected ROI of an incentive program before launching it? Or have you always evaluated the cost without putting the return on the other side of the scale?
If you never have, the simulator is the quickest starting point I know. Five minutes, your real numbers, and you already have a concrete answer.
Gianluca Testa
Founder Salestack
Host Podcast Business Garage