Stephen Long on designing sales comp serving strategy, not SKUs
Stephen Long on designing sales comp serving strategy, not SKUs
Global sales compensation expert Stephen Long shares how to align sales comp with strategy, fix quotas, and prevent plan gaming for healthier growth.
Stephen Long on designing sales comp serving strategy, not SKUs
Global sales compensation expert Stephen Long shares how to align sales comp with strategy, fix quotas, and prevent plan gaming for healthier growth.
Stephen Long on designing sales comp serving strategy, not SKUs
Global sales compensation expert Stephen Long shares how to align sales comp with strategy, fix quotas, and prevent plan gaming for healthier growth.
Stephen Long on designing sales comp serving strategy, not SKUs
Global sales compensation expert Stephen Long shares how to align sales comp with strategy, fix quotas, and prevent plan gaming for healthier growth.
There comes a point where sales compensation strategy stops being theoretical and starts costing real money.
At this point鈥攐nce rubber hits the road鈥攊f your goals are unclear, data's half-baked, or quotas are pushed through on gut feel, the damage shows up in spades. 聽
You'll start to notice distrust, quiet gaming, and a salesforce that learns to sidestep around the plan instead of working with it.
Stephen Long has spent decades in this tension as a global sales compensation leader. In , he joined 水仙直播.ai CEO Nabeil Alazzam to talk about the judgment calls behind typical plan mechanics. Foundational aspects of compensation, like:
- identifying your desired end state, 聽
- pushing executives toward a 3鈥5 year horizon to achieve this ideal end state via solid data infrastructure, and 聽
- refusing to bolt incentives onto infrastructure that isn鈥檛 ready.
The conversation jumps between strategy and operations鈥攆rom strategy decks and CRM fields, to quota models and field politics. What emerges is a practical lens for senior leaders who want to stop running annual fire drills and build growth instead.
We鈥檝e pulled out the big ideas and paired them with short clips in the recap below. For the whole episode, tune in on , , or .
Episode resources
- Connect with Stephen鈥攁 founding member of our Sales Comp Think Tank 鈥 on
- Episode book recommendations: 聽 for the HR Professional, By S. Scott Sands, Jerome A. Colletti, Mary S. Fiss, et al. and: How to Design Rewards That Work in Today's Selling Environment by by Jerome A. Colletti, Mary S. Fiss 聽
Stephen's core advice?聽Begin with your ideal end state, not the product/flavor of the month
Stephen鈥檚 biggest 鈥減lan design鈥 red flag is simple: Senior leaders often don鈥檛 define the real end goal clearly enough.
They鈥檒l say, 鈥淲e need to push Product X,鈥 then over-rotate to pay more on a few focus products.
What typically happens in this scenario is that reps sell the focus products aggressively, for a time, but the company can still miss its overall revenue or margin goals.
Unfortunately, in this case, many times the plan has actually done exactly what it was intended to do鈥攂ut not what the business actually needed. And that mistake starts with your overarching strategy.
Here's Stephen on this challenge he's seen play out consistently:
To overcome this challenge senior compensation leaders need to slow the room down and force precision. Ahead of a focus on one SKU聽or another, Stephen encourages to go broader. Get clear on the overarching strategy by asking pointed questions like:
- Are we optimizing for total revenue, margin, product mix, contract health, or market share?
- Is the goal to grow this product line at all costs, or to hit this year鈥檚 number via healthier mix?
- If we pay more for Product X, what are we willing to pay less for?
The strategic opportunity for you in these early conversations is to:
- Turn vague priorities into explicit, ranked objectives,
- Push back on never-ending 鈥渁nd鈥 goals (鈥淕row revenue and margin and new products and retention鈥), and
- Get the CRO and CFO to sign off on a primary outcome your plan will be built to drive.
As Stephen shared, once you have this, you鈥檙e no longer simply 鈥渕aking the plan work", but instead you're designing a behavior engine tuned to the real business target.
Build the data infrastructure before you put money behind a plan design
Stephen called out another common failure pattern in this episode. It goes like this:
- Leadership falls in love with a new product or metric.
- They insist it must be in next year鈥檚 plan.
- Sales comp and ops say, 鈥淲e can鈥檛 track this cleanly yet.鈥
- Leadership says, 鈥淲e鈥檒l get you a manual report.鈥
- Reps get paid off opaque, lagging, error-prone data.
- Shadow accounting and disputes explode. Reps get discouraged and stop selling the product that was intended as the focus.
He talks about this here:
In cases like this, Stephen says you'll want to shift the horizon for the conversation to a 3鈥5 year view. In other words, your playbook as a comp leader can be to:
Request the multi-year strategy, not just the next-year wish list:
- Aim to understand exactly what鈥檚 launching in years 2鈥3,
- Determine which product lines are slated to matter most in three years (not just one that's hot right now).
Co-build a roadmap with Sales Ops, IT, and CRM:
- Year 1: Use SPIFFs and simple metrics on what you can track reliably.
- Year 2: Stand up the data pipelines, validations, and field-facing reporting.
- Year 3: Promote those measures into core plan metrics, now that reps can see them in real time.
Phase-change your incentives as your data becomes more sophistcated. For example:
- Phase 1: 鈥淲e鈥檒l reward early adopters through a contest.鈥
- Phase 2: 鈥淣ow it鈥檚 in your variable compensation, but with heavier enablement and controls.鈥
- Phase 3: 鈥淭his is now a core metric with robust reporting and automation behind it.鈥
The point here is beyond thinking longterm. It's that comp plans should be the final expression of a system that already exists, not the first place a half-baked idea appears.
Treat quotas like an internal product (and walkthrough the logic behind the number)
When new plans roll out, Stephen points out that reps care about one thing first: 鈥淲hat鈥檚 the number I have to hit?鈥
In fact, they鈥檒l often ignore or delay plan acknowledgments until they see quota. And as such, many compensation plan complaints are actually quota complaints in disguise.
In this clip, Stephen dives into the reality though; if the company鈥檚 number goes up, sales quotas have to go up. But, as he shares, the difference between an angry field and a bought-in one is methodology transparency.
In complex organizations, variables and logic multiply fast. So if you don鈥檛 tell the story of your quota model, the field will write its own story, and it usually starts with, 鈥淭hey raised quotas just to pay us less.鈥
Your job is to preempt this narrative with evidence and clarity.
If you end up with reps at 6%, 8%, 10% growth targets鈥攜ou need backing for each one.
So think of quota setting just as you would an internal product you launch:
- Document the methodology. Even if it鈥檚 simple, write it down.
- Simulate and test i:聽i.e. How would last year鈥檚 performance have looked under this year鈥檚 constraints?
- Create quota explanation packets or deck slides re:聽鈥淗ere鈥檚 how we got from your last year鈥檚 number to this year鈥檚 goal.鈥
- Collect and use data as feedback:聽Are pockets of the org consistently under 80% sales attainment? That鈥檚 a capacity or potential question, not a motivation problem.
Translate plan attributes for reps 鈥 and design for gaming, not ignorance
As orgs scale, plan surfaces get more complex. There are more crediting rules, contracts with multiple attached products, partial credit scenarios, and contract health criteria (terms, margin, product mix.
And as this complexity dials up, reps rarely struggle with the math. The struggle with what counts, when, and why. Here's Stephen's take:
If they don鈥檛 understand that:
- Product A with Attachment B pays 70% credit
- Product A alone pays 100%
- Product A with Attachments B and C at zero price quietly erodes margin
鈥ou鈥檒l either get unintentional mistakes or very intentional gaming.
Stephen shared an example. In one org, where reps were paid heavily on year-over-year contract value growth, they also had a lot of pricing autonomy. This meant they loaded contracts with 鈥渁ttached鈥 products, deeply discounted, and collected bigger payouts based on growth that wasn鈥檛 profitable or durable.
To counter this, Stephen helped redesign the comp plan to focus on contract attributes, not just top line. He reduced weight on pure contract value, and added payout components for:
- Payment terms within defined thresholds,
- Inclusion of strategic new product lines, and
- Other indicators of contract 鈥渉ealth鈥.
And crucially, they ensured that if a rep sold the kind of contracts the business wanted, they would make more, not less, than under the old structure. Here's how you should think about this takeaway for your own org:
Translate plan attributes in rep language:
- 鈥淚f you structure the deal like this, you鈥檒l earn roughly that.鈥
- Show side-by-side examples of 鈥渙ld behavior vs. new behavior鈥 and resulting payouts.
Assume gaming and harness it:
- Identify the levers reps can realistically pull (discounts, term length, attach rates).
- Align payout logic with what鈥檚 profitable and strategic, not just what鈥檚 easy to sell.
Use useful enablement to lock it in:
- Think deal calculators, not just PPTs.
- Real contract examples, not hypothetical ones.
- Live Q&A sessions where reps test 鈥渨hat if I do this?鈥 scenarios.
If reps understand the attributes that matter and see that 鈥渄oing it right鈥 pays more, you鈥檝e turned potential gaming into aligned optimization.
Go from plan mechanics to strategic Influence
Stephen Long鈥檚 conversation with Nabeil is a reminder that sales compensation is absolutely a strategic discipline, not a back-office function.
If you鈥檙e a senior Sales Comp, RevOps, or Sales Ops leader, your leverage comes from moving beyond 鈥渁re we paying correctly?鈥 to:
- What is the real outcome this plan is designed to drive?
- Do we have the infrastructure to support it for the next 3鈥5 years?
- Can every rep understand how behavior 鈫 credit 鈫 cash?
- Have we anticipated gaming and turned it into a feature, not a bug?
- Can we defend our quota logic to the field and the CFO with the same confidence?
After listening to the clips and full episode above, consider:
鈥淚f we applied this thinking to our next planning cycle, what would we change first?鈥
And if you want to go deeper into integrating territories, quotas, and incentives into a single, agile SPM strategy, you can find the full episode of The Sales Compensation Show on , , and .
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