Enabling a High-Performing GTM Team

Building a high-performing GTM organization requires a combination of strong structural fundamentals (capacity management, hiring personas, ramp curves, system efficiencies, etc.) and operational fundamentals that drive day-to-day effectiveness. These operational fundamentals include territory and lead allocation, quota setting, and performance management, which represent the critical, day-in and day-out, everchanging, aspects of managing a GTM organization.

When these fundamentals are executed with a data-driven mindset, they support scalable and enduring growth while reducing friction across GTM teams on performance expectations, compensation, and team members’ ability to succeed.

Allocating Territories and Leads: Maximizing Current Capacity

Depending on the nature of the GTM motion, the right approach to territory and lead allocation will differ, but the primary objective remains the same: ensuring every AE has ample room to run.

The Territory Question

For companies running a true outbound motion, territory design isn’t just about dividing up accounts for today – it’s about planning how territories will evolve as the organization scales.

In developing territory design, ground the approach in long-term planning. Start with the end goal in mind. If the company has two AEs today but plans to have 20 AEs within two years, how will those territories subdivide over time – by geography, industry, company size, or other logical attributes.

Here’s a common scenario that often occurs as a company starts to scale:

1. A company has two AEs and assigns one AE to the West and another to the East
2. Over 6 months, the two AEs build healthy pipelines
3. The company hires two additional AEs, for a total of four, and discovers that splitting the broad geographies of the West and East territories effectively cuts each original rep’s pipeline in half
4. The fallout is predictable – compensation concerns arise, reps start to get territorial, and reps begin hoarding prospects rather than collaborating with each other

The advice to GTM leaders is to plan the splits in advance. If you’re starting with two territories, map out what four territories will look like, then eight, then sixteen. Make it transparent and communicate the plan with your AEs. When reps understand the long-term plan, they’re far more willing to accept future splits.

Even if planning and communication are done well, conflicts may still arise. Territory conflicts almost always stem from a deeper problem: insufficient lead volume. When leads are abundant, no one fights over territories because there’s enough opportunity to go around. But, when leads are scarce, every territory decision becomes a battle.

The solution then may not be spending many hours improving territory design; more often, the effective solution is to solve the underlying lead-generation concern by demonstrating to AEs the true depth of prospects in each territory. For example:

“Territory A has 579 qualified prospects with 289 actively in-market.”

When reps see that their territory has enough prospect depth, anxiety disappears: the AE’s success is in their own control. They can engage prospects and generate leads to be successful. If you can’t demonstrate prospect depth, you do have a territory allocation problem and likely need to redefine territories to ensure sufficient prospect volume. If you have sufficient prospect depth and reps aren’t meeting quota, it’s a signal that you need to take a closer look at your lead generation engine itself (turning prospects into leads).

The Lead Allocation Question

Once leads are abundant, the goal becomes maximizing the productivity of the current GTM resources. For most companies, that means round-robin lead distribution (allocating leads equitably across the team rather than based on industry focus, tenure, or another filter), which ensures maximum lead processing capacity, fair distribution across the team, clean data on individual rep performance, and minimal administrative overhead.

Should adjustments be made based on individual rep performance? Sure. If one rep closes 25% of leads while another closes 35%, allocate slightly more leads to your top performer. But be careful. The goal isn’t just to maximize close rate – it’s to maximize total new ARR while maintaining team morale and development.

Here’s the math: If your top performer closes 35% of 100 leads per month (35 deals) and your newer rep closes 25% of 100 leads per month (25 deals), you’re generating 60 total deals. If you shift to 120 leads for your top performer and 80 for your newer rep, you might get 42 deals from your top performer and 20 from your newer rep (62 total) – a marginal improvement. But what’s the cost? The newer rep ramps more slowly because they’re starved for opportunities, while your top performer burns out from the volume (or doesn’t manage to process all their assigned leads). There is a real limit to the number of deals any given rep can manage at one time, and allocating any leads above that limit results in waste. Again, a slight lead volume bias toward top closers can help incentivize a higher close rate, but reasonably balanced lead allocation will maximize new ARR.

Round-robin keeps lead allocation simple, maximizes total capacity, and creates a performance-based culture where success comes from effort and execution, not preferential lead routing.

Setting Quotas: The Balance Between Efficiency and Motivation

Many companies’ quota-setting process is backwards.

Companies often start with revenue targets, divide by the number of reps, and communicate the resulting quota. That approach ignores two very important questions:

1. What quota level drives acceptable unit efficiency?
2. What quota level appropriately stretches the team while maintaining the ability to earn at or above market compensation?

Start With Efficiency

The first consideration in setting quotas is return on OTE (on-target earnings), or “unit efficiency”. If you’re paying an AE $150K OTE and that same AE is generating $300K new ARR in a given year, that’s a 2x OTE return. SaaS companies need a minimum target OTE return to maintain healthy unit economics, scalability, and sustainability of their GTM motion.

Target OTE return is a function of gross margin. For most SaaS companies, a 3-4x return on OTE is the floor for acceptable efficiency (assuming 80%+ gross margin). Below that, too much rep compensation is spent relative to growth. If gross margin is less than 80%, the target OTE return increases in proportion to the decreased gross margin. Below are two examples:

Company A: $175K OTE with a quota of $800K and 80% gross margin. Target OTE return of 3x+. Actual OTE return of 4.5x at 100% quota attainment and ~4x return at 80% attainment. Efficient unit economics.

Company B: $250K OTE with a quota of $1.5M and a 55% gross margin. Target OTE return of 4.4x (3x divided by the ratio of 55%/80%). Actual OTE return of 6x at 100% attainment and ~5.3x at 80% attainment. Efficient unit economics.

Quick side note: Businesses with lower gross margins and higher OTE returns can scale incredibly well with the right unit economics in the right markets.

Determine Appropriate Stretch Goals

With an understanding of the required quota to achieve an acceptable unit efficiency floor (don’t forget that attainment of quota is typically 70-80%), the next question is motivation. What quota creates the right tension between achievable and aspirational?

Generally speaking, average quota attainment should be ~80%. If 90-100% of the team hits quota, the quotas are likely too low and the company’s growth trajectory could be increased with higher targets. If few AEs hit quota, targets will be viewed as unattainable and morale will be low. When this is the case you can either work to improve the attainment of quota (lead gen, conversion rates, training, etc.) or you will need to lower the target.

The right quota should feel like a stretch that’s achievable with solid execution – rather than a hope-fueled number that requires perfect execution.

Balance Efficiency With Market Compensation

Design your quota and commission structure so that a rep hitting 100% of quota earns at or slightly above market rates for their experience level, and a rep hitting 120% of quota earns well above market. That approach creates a strong incentive to overperform while maintaining the efficiency your business requires. As long as OTE return is within the target range, AE compensation should be viewed as the best investment a company can make.

The PIP Program: Effort vs. Capability

Performance Improvement Plans (PIPs) can be difficult to get right. A common approach is to wait until a rep is clearly failing, implement a vague 90-day PIP with unclear expectations, and then encourage that rep to move on.

Well functioning PIP programs are about effort, with an assumed baseline of capability.

Hire for Capability

When hiring AEs, make hiring choices based on capability – experience, skills, aptitude, and potential. Check out our previous piece, Hiring Personas that covers how to make sure you’re starting with the right types of reps in the first place. A rep’s capability should be evident early in the ramp period, often within the first 10-20 leads. During the interview process, be sure to role play to understand how the candidate handles conflict or pushback in the product evaluation process. Try to mimic a difficult sales call to maximize understanding of the rep’s communication capability. Lack of capability should be quickly apparent. That rep may struggle to articulate the product’s value proposition, lack depth and structure in discovery discussions, or struggle to handle technical objections. When capability is lacking, conversion rates will be dramatically below team averages. Bottom line: Focus on hiring for capability from the get-go.

If Capability Exists, Manage to Effort

For highly capable reps who aren’t hitting numbers, the issue is almost always consistency of effort. This circumstance is where PIPs become valuable – not as a path to termination, but as a structured way to reset expectations and accountability.

First: Define the rep’s required activities clearly. What are the daily and weekly activities that a rep must complete to achieve quota? For example: 40 outbound calls per day, 15 discovery calls per week, 8 demos per week, 5 proposals sent per month, etc.

Second: Track whether those activities are happening and make sure the rep can see the data. This approach isn’t about micromanagement; it’s about performance accountability and enablement. If a rep isn’t making the calls, holding the demos, or sending the proposals required, quota becomes unattainable.

Third: assess the quality of effort. Are those activities taking place with a sincere effort to win? Is the rep showing up prepared? Is the sales methodology being utilized consistently? Is prospect communication happening in a timely and respectful way?

If the rep is executing the required activities with genuine effort, continue the ramp process and the results will come. If not, place the rep on a 30-day PIP with crystal-clear expectations: specific activity targets, quality benchmarks, weekly check-ins to review progress, and a binary outcome – meet the standard or part ways.

The 30-day timeframe is critical. Anything longer becomes a protracted exit process that drains management time and team morale. Make the PIP process clear, short, and objective.

Final Thoughts

The difference between a good GTM motion and a great GTM motion often comes down to a meticulous focus on the operational details above: territory allocation that scales, lead distribution that maximizes capacity, quotas that balance efficiency and motivation, and performance management that addresses issues early and objectively.

The companies that master these operational fundamentals don’t just hit their numbers – they build cultures where top performers thrive, underperformers are addressed quickly, and the team understands exactly what’s expected. Net result: consistent and outstanding execution, quarter after quarter.