How to Run a Sales Compensation Health Check: Assessing Plan ROI and Performance Alignment
Learn how to run a sales compensation health check, assess plan ROI, review attainment distribution, test pay-for-performance alignment, and identify early signs of plan drift.
By Compswell —
Introduction In the third year of a well run sales compensation programme at a European technology company, the head of sales compensation sat down with six months of data and asked a simple question: Is this plan working? The headline numbers looked fine. Revenue was tracking close to plan. The top quartile of sellers was above quota. The bottom quartile was performing about where leadership expected. Monthly reports showed no obvious problem. By the standard metrics, there was nothing urgent to fix. But when she looked at the attainment distribution, a different pattern appeared. The proportion of sellers finishing between 95 percent and 105 percent of quota had been shrinking for three consecutive years. More sellers were finishing well above quota. More sellers were finishing well below it. The middle of the population was hollowing out. That pattern told a story the headline numbers did not. The plan was not broken. But it was drifting. It was moving away from a design that motivated the whole sales population and toward one that primarily rewarded a small group of consistent over achievers while leaving the middle majority less connected to the plan. The health check she ran that day changed the next planning conversation. Not because it found a crisis, but because it found a direction. What is a sales compensation health check? A sales compensation health check is a structured assessment of whether a sales incentive plan is functioning as intended. It is not a plan redesign, nor a quota audit, nor an individual performance review. It is a programme level diagnostic that asks: Is the plan producing the outcomes it was designed to produce? Are sellers landing in a healthy attainment range? Is pay meaningfully connected to performance? Is the plan cost tracking to expectation? Are sellers being rewarded for the behaviours the business needs? Is the plan still credible with managers and sellers? What should be fixed now, and what should inform the next design cycle? A good health check uses data the organisation already has: attainment records, commission payments, quota files, territory changes, plan documents, product mix, deal quality data, dispute logs, and manager or seller feedback. Normal reporting tells you what happened. A health check tells you what the pattern means. That distinction matters. A plan can look acceptable in monthly reporting and still be drifting away from its original intent. When should you run a sales compensation health check? A sales compensation health check should happen at least once a year, but it becomes more valuable when it is built into the normal compensation calendar. | Timing | Why it matters | | | | | Mid year review | Enough data exists to see patterns, with time left to respond | | Quarterly business review | Useful for fast moving sales organisations | | Before annual planning | Findings can inform the next plan design cycle | | After major quota or territory changes | Helps test whether changes affected fairness, cost, or motivation | | After a large plan change | Shows whether the new design is working as expected | | Before renewing or redesigning a plan | Gives leaders evidence instead of relying on memory or opinion | The health check should not be treated as an emergency exercise only when something goes wrong. The strongest programmes use it as a management discipline. The five dimensions of a sales compensation health check A practical sales compensation health check should review five dimensions. | Dimension | Core question | | | | | Attainment distribution | Are sellers landing where the plan expected them to land? | | Pay for performance alignment | Are stronger performers earning meaningfully more? | | Cost and ROI | Is the plan costing what it should, relative to revenue and value created? | | Behavioural alignment | Is the plan driving the behaviours the business needs? | | Fairness and credibility | Do sellers and managers trust the rules and the process? | Together, these dimensions give leaders a balanced view of plan health. A plan may look strong in one dimension and weak in another. For example, revenue may be on track while seller confidence is falling. Payout may be within budget while the plan is not differentiating top performers enough. Attainment may look healthy while deal quality is weakening. That is why a proper health check needs more than one metric. Dimension 1: Attainment distribution Attainment distribution is the foundation of the health check. It shows where sellers are landing relative to quota and whether the plan is calibrated to realistic performance. Start by plotting attainment in clear bands: Below 50 percent 50 percent to 70 percent 70 percent to 80 percent 80 percent to 90 percent 90 percent to 100 percent 100 percent to 110 percent 110 percent to 120 percent 120 percent to 130 percent Above 130 percent Then look at the shape. A broadly healthy plan often has a meaningful concentration around target, with a smaller group above target and a smaller group below. This suggests that most sellers are operating close to expected performance, while genuine over performance and under performance are still visible. The exact shape will vary by company, role, industry, territory model, maturity, and sales cycle. The point is not to force every organisation into one ideal curve. The point is to understand whether the distribution matches the design intent. What attainment patterns may signal | Pattern | Possible signal | | | | | Large concentration above 120 percent | Quotas may be too easy, or accelerators may be triggering too often | | Large concentration below 80 percent | Quotas may be too aggressive, or territory and market conditions may be limiting opportunity | | Two large clusters at the high and low ends | The plan may be working for top performers but losing the middle population | | Spike just above threshold | Sellers may be treating the threshold as the destination, not the floor | | Many sellers just below quota | The plan may not create enough pull in the final stretch toward target | None of these patterns proves the answer on its own. A left skewed distribution may be a quota issue, not a plan design issue. A right skewed distribution may reflect a genuinely strong market, not poor design. A bimodal pattern may point to territory quality, not seller capability. The health check should identify the pattern, then investigate the cause. A useful calibration signal is the percentage of sellers finishing near target. In many healthy sales compensation programmes, a meaningful share of sellers should land close to quota over a full performance cycle. If too few sellers are near target, the plan may be motivating only the extremes. The question to ask is simple: Is the plan creating a believable path to target for the population it is meant to motivate? If the answer is no, the issue deserves attention before the next design cycle. Dimension 2: Pay for performance alignment A sales compensation plan should create a clear link between performance and earnings. Top performers should earn meaningfully more than middle performers. Middle performers should earn more than low performers. If the difference is too small, the plan may not be doing enough to reinforce performance. This sounds obvious, but it breaks down in practice more often than leaders expect. Pay for performance alignment weakens when: Base salary is so high that variable pay barely differentiates outcomes Attainment is tightly compressed across the population Draws, guarantees, or adjustments reduce actual earnings differentiation SPIFFs or one off incentives drive earnings more than the core plan Territory quality creates higher earnings without stronger seller contribution Legacy accounts produce outsized payout for a small group To test this, sort sellers into attainment quartiles. Then compare: Average attainment by quartile Average variable payout by quartile Average total cash compensat