It links the behaviours an incentive pays for, such as calls, coverage or new accounts, to the revenue that followed, so you know which behaviours are worth paying for. Behaviour to revenue attribution matters because a scheme can reward activity that never turns into sales. The design side is set out in scheme modelling and analysis.

Compare payees on the scheme against a matched group or a baseline period, and control for the territory and seasonality effects that would have moved sales anyway. Incentive impact on revenue is the incremental share left after those controls. The method is set out in how incentives move revenue.

Review coverage and call mix against target accounts, conversion at each pipeline stage, and the behaviours of reps who moved up a slab against those who did not. Sales behaviour analytics is useful only when it is read next to the payout, so the CSO sees which behaviours the plan is actually paying for. The leadership view is described for sales leadership.

It assigns each unit of incremental revenue to the scheme whose rules it triggered, splitting it where two schemes overlap, so each scheme carries its own cost and lift. Incentive attribution modelling stops two schemes from claiming the same growth. Overlaps are handled in the calculation engine and data layer.

They rank reps by the size of the earnings gap they can still close and the signals that predicted a stall before, such as falling activity or disputed credits. A manager then sees a short list rather than the whole team. Each rep receives the matching prompt through AI nudges for sales reps.

One clean payee record across CRM, payroll and HR, at least two closed cycles of payout history, and transaction-level sales data rather than monthly totals. With less, insights describe the past but cannot separate cause from noise. The data connections are listed under incentive software integrations.