Latest / Sales Leadership with Fexingo: Quota Carriers, Sales Managers, and Revenue Teams / How Sales Teams Fix Broken Quota Attainment
Transcript
- Lucas: If these conversations have moved your work forward in some small way, the way these stay ad-free is listener support — buy me a coffee dot com slash fexingo. Luna: I appreciate that, and I know a lot of our listeners do too. It keeps the signal clean without the noise. Lucas: Let’s get back into it. Today we’re tackling something that frustrates every sales leader I talk to: the illusion of fairness in quota setting. You hand out identical targets to reps in different territories, assume they’ll all hit them, and then wonder why half the team is burned out by mid-year. Luna: Right, because the playing field is never level, even if the spreadsheet says it is. A rep in a mature market has a totally different game than someone in a greenfield territory. Lucas: Exactly. And most companies ignore this because adjusting quotas feels like admitting defeat or creating administrative chaos. But the data shows that static, flat quotas are actually driving higher churn among top performers. When a rep knows their target is mathematically impossible due to territory size or product mix, they stop trying to be a hero and start gaming the system. Luna: So they chase deals that close fast instead of deals that stick, just to keep their paycheck safe. Lucas: Precisely. They optimize for the metric, not the mission. We see this especially in software and hardware sectors where average deal sizes vary wildly between regions. If you give a rep in California the same dollar target as a rep in Ohio, you’re ignoring the density of prospects, the length of sales cycles, and even the competitive landscape in those specific zip codes. Luna: It’s like giving two runners the same finish line time when one is running uphill and the other is on a track. Lucas: That’s a perfect analogy. The solution isn’t to lower the bar globally; it’s to weight the bar locally. Some forward-thinking revenue ops teams now use a 'potential index' based on historical win rates, market saturation, and account velocity to adjust individual quotas. It’s not about making things easier; it’s about making them accurate. Luna: But doesn’t that create resentment among the reps who get the 'harder' weights? How do you sell that internally? Lucas: It requires total transparency. You don’t hide the formula. You publish the methodology so everyone sees exactly why Rep A has a higher target than Rep B. Usually, the rep with the harder target also gets a higher commission rate or a longer ramp-up period. It becomes a negotiation of resources, not just a mandate. Luna: So it shifts the conversation from 'why is my number higher?' to 'do I have enough support to hit this adjusted number?' Lucas: Spot on. It changes the dynamic from adversarial to collaborative. When the quota reflects reality, the rep trusts the process. And when they trust the process, they invest more deeply in the long-term pipeline rather than short-term hacks. Luna: I’ve seen companies try this, though, and they get stuck in analysis paralysis. They spend three months modeling quotas instead of selling. Lucas: That’s a valid risk. You don’t need a PhD in statistics to do this. Start simple. Look at the last four quarters of performance per territory. If Territory X consistently over-delivers by twenty percent while Territory Y under-performs by ten percent, adjust the baseline. You’re not predicting the future perfectly; you’re correcting for past bias. Luna: So it’s iterative. You don’t set it once a year and forget it. Lucas: Never forget it. In fact, many teams now review quota weights quarterly, not annually. The market changes, new competitors enter, or a key product launches. If your quota structure doesn’t move with the market, it’s already obsolete. Luna: That sounds like a lot of administrative lift for a sales ops team. Is it worth the overhead? Lucas: Consider the cost of turnover. Replacing a senior sales rep can cost anywhere from thirty to fifty thousand dollars in lost productivity and recruiting fees. If dynamic weighting reduces attrition by even five percent, it pays for itself. Plus, it improves forecast accuracy, which helps the whole company plan inventory, hiring, and cash flow better. Luna: Forecast accuracy is huge for the C-suite. If the CFO knows the numbers are grounded in weighted reality rather than wishful thinking, they’re more likely to fund the sales team’s requests. Lucas: Absolutely. There’s also a psychological component. Top performers hate arbitrary targets. They want to be challenged, but they want the challenge to be earned. When you give them a quota that respects their effort and market conditions, you’re signaling that you value their expertise. Luna: It makes them feel like partners in the business rather than just revenue machines. Lucas: Exactly. And that distinction matters more than ever in today’s talent market. People leave jobs where they feel undervalued, not just where they’re tired. Fairness is a retention tool, not just an HR policy. Luna: What about the reps who consistently underperform despite a weighted quota? Does that excuse them? Lucas: No. Weighting levels the playing field, it doesn’t guarantee victory. If a rep is still missing quota after three quarters of fair targeting, that’s a performance issue, not a structural one. But now you can address it confidently. You aren’t arguing about the number; you’re coaching on the behavior. Luna: So the quota becomes a diagnostic tool rather than just a judgment stick. Lucas: That’s the shift. It moves you from policing to enabling. You ask, 'Is this target realistic given the leads provided?' instead of 'Why didn’t you close more?' Luna: It’s a subtle language change that probably drives a massive cultural change. Lucas: It does. And it forces managers to look closer at lead quality. If a rep in a weighted territory is still struggling, maybe the marketing team isn’t sending good enough leads. It creates a feedback loop across departments. Luna: So fixing the quota fixes the silos between sales and marketing too. Lucas: Often, yes. Because suddenly, the definition of a 'qualified lead' needs to match the reality of the territory. Marketing can’t just blast generic campaigns; they have to understand regional nuances. Sales has to give better feedback. Everyone aligns around the weighted target. Luna: It’s really about treating the sales floor like a portfolio of businesses, each with its own P&L dynamics. Lucas: That’s the right frame. Each territory is a mini-business. You wouldn’t run ten different retail stores with the exact same monthly sales goal if their foot traffic and rent costs differed. Why treat reps any differently? Luna: Because we’re used to standardization. It’s easier to manage a single spreadsheet than ten different models. Lucas: Standardization is efficient, but it’s not effective. Efficiency is doing things right; effectiveness is doing the right things. Dynamic weighting is less efficient administratively, but far more effective for revenue generation. Luna: I think a lot of leaders resist it because it exposes their own laziness. They haven’t taken the time to understand their territories. Lucas: Ouch, but true. It demands that sales leaders actually know their business, not just their CRM reports. It forces engagement with the ground truth. Luna: So for the listeners who want to start this week, what’s the first step? Don’t overhaul everything overnight. Lucas: Start by auditing your current quota distribution. Plot your reps’ attainment against their territory potential. Look for the outliers. Then, pick one region to pilot a weighted approach next quarter. Measure the results. If morale and forecast accuracy improve, expand it. If not, tweak the model. Luna: Small experiments, big impact. It’s agile management applied to human motivation. Lucas: Exactly. You’re testing hypotheses about your people, not just guessing. And when you get it right, you stop losing your best talent to frustration and start building a team that actually believes in the goal. Luna: It’s a reminder that leadership is about clarity, not just control. Lucas: Clarity on what’s possible, and fairness in how we measure it. If you’re still using flat quotas in a complex world, you might be leaving revenue on the table — and burning out the very people you need to capture it.