The Cost of Poor Quota Setting

By Scott Barton and Matthew Zink
As we have written numerous times on these pages, quota attainment distribution is a critical diagnostic for a goal-based incentive plan. The shape of the distribution and its position relative to target attainment impact both the plan’s motivational capabilities and its ROI.
Consider an example:
- Company A sets a goal for its sales organization to produce $100 million in revenue. It models a normally-distributed, salesperson-attainment scenario to test the impact of pay mix (ratio of base to incentive target pay) and pay rate accelerators on total comp expense.
- Under the “model” scenario the company pays 113% of its incentive budget at 100% attainment, due to its use of accelerated payment rates for salesperson attainment above 100%, and the model scenario placing approximately half of the sales population into accelerators;
- Its compensation cost of sale, or CCOS, is 4.26% — i.e., Company A is spending 4.26% of each dollar of revenue on sales comp under this scenario.
| Scenario |
Revenue |
Comp |
CCOS |
| Normal |
$100M (100%) |
$4.26M (113%) |
4.26% |
- In a wide distribution scenario, the company experiences an increase to the deviation of salesperson quota attainment – i.e., the left and right edges of the distribution curve grow outward.
- While the company generates no more revenue in this scenario, it spends more of its incentive budget, due to more salespeople earning at accelerated payment rates;
- The scenario also produces a less efficient CCOS, given the increased number of salespeople performing at low attainment levels, yet continuing to earn base salary.
| Scenario |
Revenue |
Comp |
CCOS |
| Wide |
$100M (100%) |
$4.50M (125%) |
4.50% |
- In a third scenario the company experiences an upward shift in average performance, such that all salespeople produce 5% more than what the company modeled under the normal scenario.
- Due to its accelerators, the company spends more as a percent of incentive budget than under the normal scenario;
- The higher cost is at a lower effective rate (CCOS) than under the wide scenario, because revenue increased at a higher rate than comp expense.
| Scenario |
Revenue |
Comp |
CCOS |
| Normal – Right Shift |
$105M (105%) |
$4.54M (127%) |
4.32% |
- Finally, a forth scenario, and an unfortunate one, is where the average attainment is 100% of revenue target but the shape is bi-modal. I.e., instead of one, normally-distributed curve there are two – one centered at the lower end of the performance continuum and the other at the upper end. Think of a two-humped camel, or the tale of two cities:
- The lower-performing camp produces relatively-high fixed cost as a percent of revenue due to base salary;
- The higher-performing group produces relatively high variable cost as a percent of revenue due to accelerated payment rates;
- There is no middle group to offset each, extreme group.
| Scenario |
Revenue |
Comp |
CCOS |
| Bi-modal |
$100M (100%) |
$4.68M (134%) |
4.68% |
From a purely budgetary perspective, Company A prefers the normal distribution scenario, which provides the lowest spend rate as a percent of incentive budget and revenue. However, the company’s sales management has a different view. The wide scenario provides more extreme examples of performance, and pay:
- High performers pull down big pay checks and serve as a source of inspiration to average performers;
- Poor-performing reps opt out of the program (or company), saving sales leadership pain and hassle associated with administrative, “performance-management.”
Obviously, for the sales management, the right-shift scenario is preferred – beat the goal and increase the number of salespeople over quota. But beyond some point of goal attainment the sales organization’s success carries both short- and long-term consequences.
Short-term Company A – and this is a real example – is dealing with the fact that its overall corporate growth and profitability in its last fiscal year fell below analysts’ expectations, even though a large portion of its sales organization exceeded 110% of their quota.
How is this possible? Goals defining company success and sales team success are not aligned. Misalignment usually stems from:
- Under-allocation of goal, which is the practice of assigning to the sales team a level of quota that falls short of the corporate goal;
- Excessive use of measures and goals that enable the sales team to earn what they view is sufficient pay, even when their performance on the primary goal of revenue or margin falls short.
Longer term, companies that celebrate sales team success but fail to meet Wall Street’s expectations must take radical steps to get salesperson pay and performance in line with corporate results. Ultimately the sales team must perform more, or earn less.
The prospect of earning less doesn’t sit well – with salespeople in particular. Therefore, sales leaders need to ensure the sales compensation program uses measures and goals that align with corporate requirements, and that the resulting performance of the sales team and the company is aligned as well. Other components of the comp plan, including target pay mix levels and payment rate accelerators, help fine tune the pay-and-performance relationship at difference levels of average attainment.
The cost of poor quota setting and alignment can be substantial. In our Company A example, the firm spent about 10% more than the modeled result at 100% average attainment, enough to employ at least four salespeople. Another scenario could have been an average attainment below 100%. This outcome better aligns pay and performance as fewer, highly-leveraged salespeople exceed goal. The cost here, while difficult to measure, can be high as well, as salespeople perceive they can’t meet their income expectations because the company sets its goals too high.





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