Variable Pay Mix and OTE Competitiveness by Sales Role and Market
Most sales reps earn less than advertised OTE because they miss quota, yet pay offers keep rising.
Variable pay mix is not a stylistic preference or a number copied off a competitor's job posting. It encodes a judgment about how much of a role's outcome the person in that seat actually controls. A company weights base pay heavily where results depend on things outside a rep's hands, territory maturity, product fit, the state of the economy, and weights variable pay heavily where individual effort drives a result that can be measured and attributed to one person. That single rule explains why a closing account executive carries more variable risk in their pay plan than a sales engineer working the same deal: the AE owns the outcome, while the SE helps shape it without controlling it.
Industry research consistently finds that fewer than half of sales reps hit quota in a given year, with enterprise AEs attaining at an even lower rate than their SMB counterparts. OTE misleads as a benchmark because it models pay at exactly 100% quota attainment by definition, which describes a best case rather than a typical one. If most reps in a role land below half of quota, the realistic earnings figure for that role sits well under the advertised OTE for the majority of people doing the job. The problem compounds further because OTE rose across roles in 2026 even as attainment continued to fall, meaning the gap between what offers advertise and what reps actually take home has widened rather than closed.
Every plan, regardless of role, sits between two fixed anchors. One is the market rate for that role. The other is what the selling model can actually afford to pay, given the revenue it produces. Revenue Bench's 2026 guide frames this second anchor as a defined share of new revenue, a working range for what total sales cost should run as a percentage of what the sales org brings in. A plan that ignores either anchor fails in a predictable direction: ignore the market rate and good reps leave; ignore the revenue constraint and the company pays for growth it hasn't earned.
A useful gut check sits between those two anchors: the ratio between a rep's quota and their OTE, for which Falcon Incentives identifies a healthy range for individual contributors. A ratio set too low usually means the company is overpaying relative to what it should reasonably expect a rep to produce. A ratio set too high makes the job hard to fill, because candidates can do the math and see that hitting quota would require outproducing what the pay justifies. Neither failure is cosmetic. Both raise hiring cost and attrition.
This is the interpretive key for everything that follows. Every number in the benchmark tables below, from the SDR's base-heavy split to the enterprise AE's even money, traces back to this same logic: how much of the outcome belongs to the person doing the job, and how much belongs to the territory, the product, the market, or the team around them.
What OTE actually measures — and what it leaves out
OTE stands for on-target earnings, and it answers one specific question: what does this role pay if the person in it hits their number exactly. Optymyze's 2026 guide states the formula: OTE equals base salary plus variable compensation at 100% quota attainment. That formula is useful precisely because it is narrow: it is a model of expected pay under expected performance, not a guarantee, a floor, or an average, and it leaves out equity, sign-on bonuses, and benefits.
Apollo's 2026 OTE guide walks through the mechanics with a simple case: an AE with equal base and variable has an OTE that equals their sum; at partial attainment they earn less, since the variable scales but the base does not. Fall short of quota, and the paycheck falls with it, because the variable portion scales directly with performance while the base stays fixed. That asymmetry is the whole point of pay mix, and it is why OTE, read alone, tells a new hire less than it appears to.
Two anchors constrain every plan regardless of role: the market rate for the role, and what the selling model can afford. New hires rarely earn at full productivity from day one, especially in long-cycle B2B sales where a first deal might not close for months. Optymyze notes that most companies address this with a guaranteed draw or a ramp commission structure for the first one to three quarters. The OTE figure on an offer letter describes a steady state that a new rep may not reach until well into their second year. Pod-based and overlay selling models complicate it again: deal-split and credit rules determine how a nominal full-price commission actually divides among the people who touched the deal, and the headline OTE number assumes a clean, single-owner deal that doesn't always exist in practice.
Apollo's guide offers a short, direct set of questions for evaluating any OTE figure on an offer: what percentage of reps hit quota last year, how quota gets calculated, whether accelerators or caps apply above or below target, and what the ramp terms look like in the first several quarters.
What percentage of reps actually hit quota, and why does that make OTE benchmarks misleading?
The honest starting point for reading any OTE benchmark is that most reps in the market are not earning the number their plan advertises. Quota-setting, as a methodology, is frequently disconnected from what the market will actually convert. A quota built from a top-down revenue target, divided evenly across a sales floor, can look reasonable on a spreadsheet while bearing no relationship to the territory, pipeline, or market conditions a given rep actually faces.
The research brief notes that SMB AEs and Enterprise AEs both fall below half, with Enterprise AEs attaining at an even lower rate than SMB. That's a meaningful divergence from what a published OTE figure implies on its own, since OTE assumes 100% attainment by definition. If most reps in a given role are landing below half of quota, the realistic earnings figure for that role sits well under the advertised OTE for most of the people doing the job.
What makes 2026 a distinct moment in this trend is the direction of the two numbers moving against each other. OTE rose across roles in 2026, even as most sellers continued to miss quota. Rising pay alongside falling attainment points to a problem in the inputs feeding the quotas rather than in how the plans themselves are structured. Companies are setting quotas against assumptions about market conversion that conversion data no longer supports.
For anyone evaluating an offer or a benchmark, run the numbers at realistic attainment levels instead of at 100%. Optymyze recommends modeling pay across several points along the attainment range, rather than anchoring on the single full-quota figure, because that's the only way to see what a role is likely to actually pay rather than what it pays in the best case. Plan designers face a parallel pressure from the other direction. Talentfoot finds that experienced sellers increasingly weigh the credibility of a quota, and the size of the base salary underneath it, alongside the headline OTE figure when deciding whether to take an offer. A high OTE attached to a quota nobody believes is achievable no longer closes candidates the way it once did. Quota credibility has become its own recruiting variable, separate from the number printed at the top of the offer.
Role-by-role pay mix and OTE benchmarks, from SDR to VP of Sales
With those two caveats in place, OTE describes a target rather than a guarantee, and realized attainment runs well below that target for most reps, the benchmark pattern by role becomes legible rather than arbitrary. Pay mix and OTE move together in a predictable direction across the sales career stack: the further a role sits from directly closing revenue, the heavier its base pay; the more a role owns the outcome of a deal, the heavier its variable pay.
SDR and BDR roles are at the base-heavy end of the stack.
Account executives at the SMB level step up in both ownership and OTE, with median figures varying somewhat depending on the source, but research brief consensus and Apollo's broader AE range both pointing to numbers well above SDR levels, reflecting the greater complexity and ownership that comes with carrying a closing quota.
Mid-market AEs carry OTE figures that research brief data and Optymyze both place in the mid-to-high range for SaaS specifically, with a 50/50 base-to-variable split common at the benchmark level. The more precise figure across sources is closer to 55/45, since multi-stakeholder deals and longer sales cycles at this tier justify a slightly heavier base, as a cushion against the timing variance that comes with deals that take multiple quarters and multiple decision-makers to close.
Account Executive, Enterprise. Apollo, the research brief, and Optymyze each put enterprise AE in the high range, with a 50/50 split common and top performers reaching well above the median. That even 50/50 split reflects the scale of what an enterprise AE owns: the largest, most complex deals in the organization, where an even money split matches the maximum variable risk appropriate to that level of ownership. It's also the role where the attainment gap bites hardest. Enterprise attainment runs below half, lower than SMB, which makes base salary size and ramp terms especially important for anyone evaluating an enterprise AE offer against its headline OTE.
Sales engineers and solutions consultants sit on the other side of the control principle from the AE they support. The SE pay mix favors base heavily, because the SE shapes a deal's technical outcome without owning the close itself, and the heavier base also reflects the specialized technical expertise the role requires companies to retain.
Customer success managers who carry variable pay show the heaviest base weighting of any revenue-adjacent role on this list.
Frontline sales managers run close to a 67/33 split favoring base. Managers drive results through the people they manage rather than through their own direct selling activity, so their variable pay ties to team performance rather than a personal quota, and the heavier base reflects the stability expectations that come with a managerial role. Talentfoot's 2026 survey confirms the broader pattern here: leadership roles across the board trend modestly more base-heavy than individual contributor roles.
VPs of Sales run 60/40 favoring base. A VP owns organizational outcomes measured over multiple quarters rather than a single deal cycle, and the heavier base at this level reflects both that longer feedback loop and the seniority premium attached to the role. Talentfoot finds that roughly a third of its senior-skewed survey respondents report OTE above a high threshold, a figure consistent with the VP and CRO tier dominating the top band of the market, and Apollo notes that top performers and CROs can exceed the VP median by a significant margin.
How geography, company stage, and industry shift every number on that table
Every figure in the table above is a national median, and a national median is a starting point rather than a final answer. Geography, company stage, and industry each move OTE in ways that are systematic and predictable rather than random, and skipping this adjustment is one of the more common ways companies misapply benchmark data.
Geography carries the largest and best-documented effect. Falcon Incentives quantifies a meaningful gap in OTE for the same role at the same company depending on whether that role sits in San Francisco or Dallas, and the guide is clear that both figures can be market-competitive at once. A market-competitive OTE isn't one single number per role, but a range that shifts with local cost of labor and local demand for sales talent. Remote work has narrowed these geographic gaps somewhat over the past several years, but it hasn't closed them, particularly for roles that still depend on in-person selling, field sales, or regional account coverage where physical presence remains part of the job.
Company stage and industry layer additional adjustments on top of geography, shifting what a company can afford to pay relative to the revenue anchor described earlier in this piece. A seed-stage startup and a public enterprise software company selling the same AE role into the same city will rarely have the same OTE, because the revenue base funding that OTE differs by orders of magnitude between the two. The same logic extends across industries: every plan is constrained by the market rate for the role and by what the selling model can afford, with Revenue Bench's 2026 guide putting the working range for total sales cost as a defined share of new revenue.
None of these adjustments override the role-level logic laid out above. They modify it. A VP of Sales role still carries a 60/40 split favoring base because of what a VP owns and over what time horizon they own it. What geography, stage, and industry change is the dollar figure sitting underneath that ratio, not the ratio itself. Reading a benchmark table correctly means holding both pieces at once: the control principle that sets the shape of the split, and the market conditions that set the size of the number inside it.
