Latest / Sales Leadership with Fexingo: Quota Carriers, Sales Managers, and Revenue Teams / Why Your Best Sales Reps Hit Quota and Quit
Transcript
- Lucas: Look at the calendar. It is late September, twenty twenty six. Most sales teams are in the final sprint of Q three, but there is a quieter crisis happening right now among your top ten percenters. They are hitting their quotas, maybe even smashing them, and then they hand in their resignation letters before the quarter ends. Luna: It feels like a betrayal, doesn't it? You reward them for success, and they leave. The data usually points to burnout, but I suspect it is something more structural in how we pay people. Lucas: Exactly. We call this the cliff effect. Most standard commission plans have a steep acceleration once you hit one hundred percent of quota. You make double or triple on every dollar after that. For a rational actor, once you hit that target, the marginal value of selling more drops to near zero because you have already maximized your income for the period. Why risk churn or deal fatigue when you have banked the maximum payout? Luna: So they coast until the next cycle starts. That explains why pipeline volume dries up for top reps in October. Lucas: Right. And here is the kicker. Because they stopped selling early, they never build the buffer needed for Q four. Then in December, they realize they missed their annual number by fifteen percent. Now they are either scrambling to close low-quality deals or facing a clawback. It is a losing loop for both the rep and the company. Luna: But if we remove the accelerator, aren't we just capping their upside? High performers want to know they can earn unlimited money. Lucas: This is where most leaders get stuck. They think removing the cliff means removing the incentive. But we can redesign the curve without killing the dream. Let me walk you through a specific case from a mid-market enterprise software provider. They changed their payout structure last year, and the results were counterintuitive. Luna: I am listening. What did they change about the math? Lucas: They kept the base commission rate flat across all tiers. No doubling at one hundred percent, no tripling at two hundred. Instead, they introduced a multiplier that applied only to new logo acquisition above quota, while keeping renewals at a steady rate. So, the money didn't disappear; it just shifted from easy expansion of existing books to hunting new logos. Luna: That forces them to keep digging for new land instead of riding the renewal wave. Does that actually change behavior, or do they just game the system? Lucas: They game it less because the game changes. Previously, they would delay closing a tough new deal until January to smooth their income. Now, if they close that new logo in September, they get an immediate boost to their multipliers. The psychological trigger shifts from 'I have enough' to 'I can unlock more by going deeper.' It turns the quota into a floor, not a ceiling. Luna: So the quota becomes a baseline for stability, rather than a finish line for freedom. Lucas: Precisely. And the retention numbers back this up. In the twelve months following the switch, voluntary turnover among top performers dropped by forty percent. More importantly, their average quota attainment didn't drop; it stabilized. We stopped seeing those jagged spikes and valleys in monthly revenue. Luna: That stability must help forecasting significantly. If reps aren't holding back deals, the pipeline looks more like reality. Lucas: It does. But there is a second layer to this problem that often gets ignored. It is not just about the money. It is about the cognitive load. When a rep hits quota, they often feel they have 'paid their dues' to the company for the month. The stress lifts, and they assume the company should now carry the load. Luna: Is that fair? Once I've earned my salary and commission, shouldn't I be allowed to breathe? Lucas: It is fair to take a breath, but not to stop contributing. The issue is that many sales managers treat quota attainment as a binary pass-fail metric. Pass equals celebration, fail equals pressure. There is no middle ground for sustained excellence. We need to reframe the conversation around consistency, not just peaks. Luna: So leadership needs to actively discourage the 'hit and quit' mentality during one-on-ones. Lucas: Absolutely. A good manager will say, 'You hit your number. Great. Now let's look at how you can use this momentum to secure your team's bonus pool.' Or, 'Let's identify the strategic accounts that require long-term nurturing, which aligns with your career goals in senior leadership.' You give them a reason to stay engaged beyond the paycheck. Luna: That makes sense. Career progression becomes the next quota. It’s not just about the check anymore. Lucas: Exactly. And this ties into the broader economic environment. In twenty twenty six, talent mobility is high. If a top performer feels stagnant, they will leave for a competitor who offers a clearer path to growth. The comp plan is part of that path, but it is not the whole map. Luna: Do you see companies successfully balancing this without completely overhauling their comp plans? Lucas: Some do smaller tweaks. They introduce SPIFFs, or special performance incentives, for activities that matter post-quota. Maybe extra bonuses for mentoring junior reps, or for participating in product feedback loops. It keeps them connected to the ecosystem without requiring massive new sales. Luna: Mentoring is interesting. It takes time away from selling, but it builds institutional knowledge. Lucas: It does, and that is a trade-off worth making. A team that trains itself internally retains more effectively than one that constantly hires externally. The cost of hiring a new rep is roughly half their first-year earnings. Keeping a seasoned rep engaged in a lighter capacity is cheaper and stabilizes the culture. Luna: So we are looking at retention as a form of operational efficiency. Lucas: We are. And it starts with admitting that the old model of uncapped accelerators creates perverse incentives. We need to design systems that reward continuity, not just explosion. Luna: Before we dive deeper into the mechanics of these payout curves, I want to pause for a moment. Lucas: Sure. Luna: If these conversations about sales strategy and leadership have moved your work forward in some small way, consider supporting the network directly. Lucas: We deliberately don't run ads on these shows to keep the focus purely on substantive analysis. If you want to support that choice, the link is buy me a coffee dot com slash fexingo. Luna: It helps us keep producing these deep dives without compromising our editorial independence. Lucas: Back to the payout curves. Let’s talk about the technical side. How do you communicate this shift to a rep who is used to the old model? Luna: Transparency is key. Show them the projections side-by-side. Prove that over a twelve-month period, they can still earn more, just more sustainably. Lucas: Right. And you have to be honest about the short-term dip. Some reps might see a lower max potential in a single quarter. You have to frame that as trading volatility for predictability. Luna: Predictability is valuable in this market. Nobody wants to live in fear of missing their bonus by five dollars. Lucas: Exactly. It reduces anxiety. Lower anxiety leads to better decision-making in front of customers. Desperation sells poorly. Confidence sells well. If the comp plan removes the desperation, the sales quality goes up. Luna: So we are essentially buying better customer interactions by changing the internal math. Lucas: That is a very clean way to put it. You are aligning the rep's interest with the customer's experience. When they aren't chasing a arbitrary cliff, they can focus on solving the actual problem. Luna: It seems like a fundamental shift from transactional selling to relational selling. Lucas: It is. And as we move further into twenty twenty six, that relational approach is becoming the only differentiator left. Product features are commoditized. Service and trust are the moats. Your comp plan should reinforce that moat. Luna: Do you think smaller companies can pull this off, or is this only viable for large enterprises with complex RevOps teams? Lucas: Smaller companies actually benefit more because the impact is visible immediately. In a fifty-person sales org, if your top three reps leave after hitting quota, you lose thirty percent of your revenue engine overnight. The pain is acute. The fix is simpler too. You don't need a committee. You just need a smarter spreadsheet. Luna: So the barrier to entry for fixing this is low, but the willingness to accept the initial complexity is high. Lucas: High. Leaders are afraid to touch comp plans because everyone complains. But the complaint is usually about the current structure, not the change itself. If you explain the 'why', most reps will respect the logic. Luna: Logic wins. Emotion fades. Structure remains. Lucas: Well said. It comes down to building a machine that runs smoothly when everyone is winning, not just when someone is desperate. Luna: And what happens when the economy tightens again? Do these flatter curves protect the company better? Lucas: They provide more flexibility. With accelerated payouts, a downturn cuts into your margins instantly because you are paying higher rates on fewer deals. With a flat or smoothed structure, your costs scale more linearly with revenue. It is safer capital allocation. Luna: Financial resilience matches behavioral resilience. It’s all connected. Lucas: It is. And that connection is what separates mature sales organizations from chaotic ones. Luna: One last question on the horizon. As AI tools become more prevalent in sales development, do you think this quota cliff problem will disappear or worsen? Lucas: It could worsen. If AI handles the initial outreach, the human rep steps in later in the cycle. If they hit quota on ai assisted deals, they might feel even more entitled to coast because the work was easier. We might need to adjust quotas based on automation levels. Luna: Dynamic quotas based on tool usage. That is a fascinating future state. Lucas: It is. But the core principle remains. Reward the effort, not just the outcome. Keep the curve engaging. Luna: So the human element is still the hardest variable to solve for, regardless of the tech stack. Lucas: Always. Technology amplifies intent. If the intent is misaligned by bad comp design, the technology just scales the dysfunction faster. Luna: Then it is up to us to design the intent correctly before we scale anything else. Lucas: Exactly. Start with the psychology, then apply the math. Luna: Where do we go from here? Is there a next step for listeners to audit their own teams? Lucas: Look at your top performers' activity logs from the last six months. Map their selling intensity against their quota percentage. If you see a flatline after ninety-five percent, you have a design problem. Fix the curve, and watch the behavior change. Luna: Simple data, clear diagnosis. I like that. Lucas: It is surprising how few leaders actually do that basic diagnostic. Luna: Maybe because they are too busy putting out fires caused by the fires themselves. Lucas: Ouch. But true. Building a resilient engine prevents the fires in the first place. Luna: Resilience through design. That is the takeaway. Lucas: For sure. It is about creating a system where success doesn't mean stopping. It means continuing. Luna: And perhaps that is the real test of leadership. Can you keep people moving forward when they have already arrived? Lucas: That is the question. And the answer lies in how you define the destination.