SalesCompInsights

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.

•  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.

• 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.

• 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.

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.

Getting the Most Out Of Your Newly-designed Program

As a manager or administrator of the sales compensation program, what should you care about?  What measures characterize a well-functioning sales incentive plan?  You’re in an excellent position to assess how well the plan is working.

Getting Started

Can you imagine a car without instrumentation?  Your only indicator of success would be a safe, timely arrival at your intended destination.  The scenario is analogous to a sales compensation plan where payments issued are the only measure of success.  Like cars, complex incentive programs need regular monitoring and maintenance, less something unexpected goes wrong and costs dearly to fix.

Most managers of incentive compensation accept that ongoing measurement of the plan’s performance is good business practice.   The problem lies in execution.  What should be measured?  How do we get the data?  What do we do with the information?

Start by focusing on a few fundamental measures.   Your car, for example, is a sophisticated piece of engineering.  There are plenty of things that can go wrong.  Yet most drivers focus on the speedometer, fuel gauge, service-engine light and thermostat.  For each of these devices there are standards that indicategood operation and potential problems.  Without these standards, the underlying information is of little value.

For your sales compensation program, we suggest four key measures and corresponding standards you monitor to ensure your plan operates properly:

1. Pay Distribution
2. Performance Distribution
3. Return on Compensation Investment
4. Sales Time Allocation

Pay Distribution

Most companies track what they pay their salespeople and  standards for responsible pay.  Often missing is measurement of an effective pay distribution for specific classes of salespeople.

The measure starts with acceptable ranges of pay around a midpoint or median amount.  Ideally your standard comes from a published compensation survey that covers the specific jobs in your sales organization.   Compensation managers often fret over the “right” survey, while sales managers usually discount any survey referenced for their team.  The most important thing is to find a survey(s) that your stakeholders agree represent your industry, and then use the information. You want the midpoint (50^th), 25^th and 75^th percentile pay amounts for eachjob.  These amounts include base salary, incentive target, incentive actual, target total cash (a.k.a., on-target earnings) and actual total cash.

Pay Distribution Sample

Each quarter you want to measure the degree your pay distribution represents a normal distribution around your standard range.  A compressed curve, where your 25^th and 75^th percentile actual incentive pay is well inside of your standard range, suggests lack of meaningful pay differentiation across your job group.  A bi-modal curve, where distributions concentrate around the 35^th and 65^th percentiles, may reflect underlying causes such as poor goal setting or territory alignment and result in a very expensive outcome, especially when the plan uses accelerated pay rates for above-goal performers.

Performance Distribution

Similar to pay, we suggest analysis of acceptable ranges of performance.  Managers fret here, too, over the right standards of performance distribution, which can be measured on a both absolute and relative basis.  Don’t sweat the details.  With anything close to a normal distribution across a large population of like jobs, your plan would appear to be working well relative to a performance standard.  Obviously a normal distribution that is set left or right of your standard calls into question goal reasonableness, as does bi-modal or skewed (biased to the right or left of median) distributions.

Performance Distribution Sample

If your plan has multiple performance components, your options are to measure each component separately, or calculate weighted average performance using an attainment rate from each component.  Either way, the more components in your plan, the less clear and consistent the company’s determination of “good” salesperson performance.   It’s a reminder to keep the plan simple.

Return on Compensation Investment (ROCI)

On our sales compensation dashboard, ROCI is like the check engine light on your car.  It lights up when something is amiss, and you or a trained expert must then dig a little to find out why.  I once paid $130 for a mechanic to diagnose what turned out to be a loose gas cap.  The ROIC measure is often not a practical means for measuring the health of your sales comp plan, but we argue it’s necessary in some form.

At the heart of this measure is an answer to the question of, “what performance (return) should we expect for the amount of compensation (investment) we spend?”  Industry standards range from useful to irrelevant, depending on your business and the operational diversity of your peer group. If the standard isn’t already well known to you, it’s probably difficult to obtain.  That said,  published surveys with ranges of acceptable ratios for pay-to-production by job type are available for some industries.  If the published survey doesn’t cover your industry or jobs, you can initiate a custom survey using a third-party to maintain participant-data confidentiality.

The majority of companies we encounter use an internal standard of ROIC based on external or market-driven standards of target pay amounts and the company’s revenue or gross-margin goals.  Logic being, if the company pays competitively and hits its financial objectives, then it is “safe” — for now (i.e., the check engine light isn’t illuminated).

What if the plan uses multiple performance components?  Or it includes supplementary components, like those for short-term promotional campaigns (a.k.a. “spiffs”)?  Another complexity arises when performance uses measures other than financial units, making comparisons of pay-to-performance rations across multiple measures meaningless.  In either case, managers can track what they pay for each component, and assess whether the spend is worth the result.  The more components, the more likely one or two components will be ineffective– i.e., not producing compensation.  Administratively, the company spends money supporting a plan component that isn’t producing fruit.  And from the salesperson’s perspective, the opportunity isn’t worth their time. 

Sales Time Allocation

“Whoa,” you say.  “I manage the sales comp plan, not the salespeople.”  Fair enough.  But the reason you love sales comp is because of its implications for the company’s profitable growth. 

Devilish Details

Of course, you can’t rely exclusively on these four measures to ensure the health of your sales compensation program.  Once you have nailed the basics, you should explore upgrades to your dashboard to include other dimensions, such as administrative expense per payee, or number disputes per incentive dollar. 

The time should be now to start measuring your sales compensation plan effectiveness.  Come third quarter, questions will surface around what’s working and what’s not.  Armed with output from your four plan-effectiveness measures, you’ll have definitive answers.

We hope you enjoy Scott’s new video from NewSigma’s Sales Incentive Practices Series. This installment is part one of two on building a case for changes to the sales compensation program.

Know Which Investments Will Pay Off

As referenced earlier on this site we recently hosted a web session with Steve DeMarco, VP Worldwide Sales at Xactly, and polled the 500+ registrants for their views on sales force investments.

Not surprisingly given recent economic trends, many companies are adding headcount, training those resources, and arming them with the content and collateral to help them be more successful.

Interesting, it was additional headcount or training that over 20% of the respondents found did not provide meaningful return on investment (ROI).

The good news for companies making or contemplating investment in the sales force is that many folks appear satisfied with the return on such investments. 

Whether you’re satisfied or not assumes some mechanism for tracking your ROI in this area.  Clients frequently ask how they measure ROI in the sales team.  Simply, ROI is the incremental gain in sales from each incremental dollar spent on the sales team and various support mechanisms.   More complex is the interpretation in short-term trends (“we’re spending more as a percent of revenue this quarter than last”) and competitive benchmarking (“we spend 7% and our competitors 9% — is this a good thing?”).

Making sense of data derived from sales force ROI analysis is a little like fixing your dishwasher – seems simple at first but you can quickly get in over your head and have nothing to show for your effort.  Our advice here is select one or two measures that address what’s on the mind of your executive team (related to investments in the sales force, that is).  

The CFO of a medical device distributor told us recently that he asked his head of sales comp why the company’s sales comp expense is increasing when revenues are flat.  The sales comp head apparently replied, with a somewhat blank stare, “Let me get back to you on that.”  The executive told us that was about three weeks ago.

This is a big topic with big implications.  Stay tuned for examples and cases of measuring ROI on sales investments and the implications for sales incentive design and program management.

Welcome to our blog. 

SalesCompInsights was created by Scott Barton and Mike Meisenheimer.  In our 30+ combined years of working on sales compensation design and management, we’ve collected a lot of  intellectual capital and developed a few opinions on the subject.  So it’s time to share.  This includes reliable information on sales compensation principles, as well as current trends and research. 

Over time SalesCompInsights will continue to evolve based on feedback we receive, specific requests and changes in the broader sales compensation world.  

From time to time, we’ll ask our clients — professionals in sales, HR, finance and sales ops — to comment on industry trends and news that impacts sales compensation policy and administration.

We’d like to hear from you.  Please let us know if there are specific topics you’d like us to cover or comment on posts you find of interest.  Share with us your own sales compensation insights as they pertain to plan design, implementation and administration – things that worked, things that didn’t or questions you’d like to get answered.  We also appreciate a good story. 

We hope you find this site of value.  If you don’t, let us know that, too!