There's a question no compensation team can answer today with their current tools:
How much revenue did each dollar of commission we paid actually generate?
It's not a difficult number to understand. It's an impossible number to calculate when compensation data and revenue data live in separate systems.
The silo problem
The compensation team knows precisely how much it paid in commissions during the quarter. The revenue team knows how much was invoiced. But nobody can connect those two numbers reliably because they come from different sources, with different periods, at different levels of granularity.
The result: compensation plans get designed on assumptions. An accelerator tier gets raised because it "should motivate more closes." A product bonus gets added because "we need to push that line." But nobody knows if it worked. The next cycle is designed the same way.
What incentive yield is
Incentive yield is the revenue generated per unit of commission paid, broken down by product, region, rep, or plan component. In its simplest form:
Incentive yield = Period revenue / Total commission paid in the period
But the useful number isn't the aggregate. It's the breakdown: by product, by region, by rep, by plan component.
Did the tier 3 accelerator generate more revenue per dollar paid than the product bonus? Does the North region have a 40% higher incentive yield than the South region on the same plan? Has the new customer component shown declining yield for three consecutive periods?
Those questions have no answer when the systems don't speak the same language.
What changes when the data is unified
When Revenue and Compensation run on the same source of truth, incentive yield calculation stops being a year-end Excel exercise and becomes a continuous signal.
The compensation team can see, in t-1, which plan components are generating the most revenue per dollar paid. The finance team can see the real cost of the incentive structure — not the budgeted cost, the actual cost, period by period.
The leadership team can design next period's plan with data instead of assumptions.
Growth bridge: where growth is coming from
Incentive yield is one of the metrics that emerges when the data is unified. Another is the growth bridge: the decomposition of revenue growth into its components.
Did this quarter's growth come from more volume in the same products, from a mix shift toward higher-value products, from new customers, or from lower churn? And what portion of that growth is attributable to the incentive structure that was paid to generate it?
A revenue system alone can see the outcome. A compensation system alone can see the cost. Together, they can see the return.
The implication for plan design
When incentive yield becomes an available signal, the plan design process changes.
Instead of raising accelerators because they "feel like they should work," you can identify which plan components have historically generated the most revenue per dollar paid — and design the next period starting from that evidence.