Compensation benchmark data is only useful if everyone reading it draws the same conclusions. In practice, that is rarely the case. Sales leaders, Finance, and HR routinely look at the same benchmark and reach different judgments about whether a number is competitive, because they are not working from a shared understanding of what the figures represent. Base, OTE, pay mix, and quota attainment each carry specific meanings, and a benchmark that looks generous on one measure can be uncompetitive on another.
This is the first of three guides we developed with RepVue. It covers how to read compensation data: what the core terms mean, how benchmark data is structured, and how to tell a figure you can act on from one that will mislead you. The second guide covers how to interpret that data by role and segment, and the third covers how to apply it to build pay ranges and career architecture. Reading the data accurately is the foundation for everything that follows.
Most compensation discussions depend on a handful of terms, and precision about each one prevents the misreadings that follow.
Base Salary
Fixed annual pay, guaranteed regardless of performance. It is what a rep earns before any variable compensation comes into play.
On-Target Earnings (OTE)
Variable Compensation
The at-risk portion, the commission or bonus tied to attainment. OTE minus base equals the target variable.
Pay Mix
The ratio of base to variable pay, expressed as a split such as 60/40. In a 60/40 plan, 60 percent of OTE is guaranteed base, and 40 percent is at risk.
Quota Attainment
How much of the quota a rep actually hits. At the team level, it is the share of reps who reach 100 percent. This is the number that validates or undermines everything else.
Pay mix is one of the most informative figures in any plan. Two roles can carry the same OTE and still represent very different propositions depending on the split. In a 50/50 plan, half of the target earnings are at risk. In an 80/20 plan, the role is largely salaried with an incentive on top. The OTE is identical; the risk profile and the kind of seller each plan suits are not.
Benchmark data describes a distribution rather than a single number, and most of the skill in reading it lies in understanding that distribution.
Compensation is reported by percentile, typically the 25th, 50th, 75th, and 90th. The 50th percentile is the median, the point at which half the market earns more and half earns less. The 25th sits at the lower end of the competitive range, and the 75th and 90th sit at the upper end. A company that pays at the 75th percentile is positioning above three-quarters of the market for that role.
A Benchmark is a Distribution, Not a Number
Most compensation teams anchor their ranges around the market median, but the median is an input rather than a default target. Where you choose to position yourself relative to the market is a deliberate decision shaped by your equity package, brand recognition, product complexity, and budget. We cover that positioning decision in detail in What Does Market Competitive Mean?.
A benchmark is only usable if it can be cut along the dimensions that move pay. Three matter most:
Role and Level
An SMB AE focused on new logos is not benchmarked the same way as an Enterprise AE focused on relationship management and expansion, even though both carry the Account Executive title. Within a single family, a Senior AE and an entry-level AE sit at different points on the ladder and benchmark accordingly.
Geography
Pay varies by market. The same role can carry a materially different median in Philadelphia than in San Jose, which is why many companies apply city-specific rates or group locations into bands based on benchmark variance.
Company Stage and Industry
A startup competing for talent against established enterprises faces a different market than an enterprise competing with its peers, and software pays differently than other sectors for comparable roles.
A single blended number that cannot be segmented by role, level, geography, and company stage or industry is an average, not a benchmark, and it conceals the variation that drives competitive pay decisions.
The origin of a benchmark determines what it can tell you, and the two main sources answer different questions.
Traditional compensation surveys report what companies say they pay. A total rewards team submits plan data to a survey provider, which aggregates it into market ranges. The result reflects the intended on-paper compensation and is well-suited to structured benchmarking at scale, particularly where roles are standardized across large organizations.
RepVue reports what sellers say they earn. The platform collects anonymous, verified ratings directly from B2B sales professionals about the organizations where they have worked, capturing base, OTE, incentive structure, and quota attainment by role, level, and company. Because the data comes from sellers rather than HR, it reflects realized earnings rather than plan design. To protect anonymity and reduce noise, a company profile is published only after it has at least seven verified ratings, so no single submission stands on its own.
Neither source is definitive on its own. Survey data describes what a plan is designed to pay; seller-reported data describes what reps actually take home. The difference between the two often lies in where the useful insight sits, and the most reliable reading comes from consulting both.
Two Source, Two Different Questions
Where compensation data comes from changes what it can tell you.
Survey-Reported
The gap between the two is often where the useful insight sits. Read Both.
An OTE number means little without the quota attainment to back it up. OTE describes earnings at 100 percent of quota, so the relevant question is how many reps actually reach that level. Where most of the team hits quota, OTE is a fair description of take-home pay. Where only a minority do, OTE describes a target that few people realize.
The market data makes the point concrete. As of mid-2026, RepVue reports that roughly 42 percent of Account Executives in the United States reach or exceed their annual quota, and the figure for Enterprise AEs is close to 41 percent. RepVue’s broader Cloud Sales Index, aggregated across tens of thousands of ratings, puts overall cloud sales attainment near 44 percent.
In other words, most quota-carrying reps fall short of quota in a given year. That is the normal condition of the market rather than a sign of a failing sales force, and it means every OTE figure should be read alongside its attainment rate. An OTE of $200,000 with 60 percent of the team hitting plan is a stronger proposition than the same $200,000 with 30 percent of the team hitting plan, even though the headline number is identical.
Consider a typical benchmark for a US Account Executive role:
US Account Executive Snapshot, one row read four ways
Ilustrative. Source taxonomy: base, OTE, pay mix, and attainment by role and level.
Each line carries information. The $100,000 base is guaranteed. The $200,000 OTE is the target for full attainment, and the 50/50 mix indicates that the remaining $100,000 is entirely at risk. Because attainment sits near 42 percent, most reps do not earn the full variable, so a typical seller takes home meaningfully less than $200,000, often in the range of $140,000 to $150,000 once partial attainment is accounted for. The top-performer figure near $490,000 confirms that the upside is real for reps who clear quota and benefit from accelerators.
Read this way, a single benchmark row reveals the guaranteed floor, the target at plan, the realistic earnings for an average performer, and the achievable ceiling for a strong one.
The table below shows a sample Account Executive ladder with OTE ranges by level. The figures are illustrative and meant to show how ranges step up across levels rather than to serve as a benchmark in their own right.
For role-specific and company-specific validation, RepVue provides crowdsourced OTE data from verified B2B software sellers across thousands of companies. Before finalizing ranges, compare your levels against what sellers at your actual talent competitors report earning, including the base-to-variable split, quota levels, and attainment rates.
A few recurring errors undermine otherwise careful benchmarking:
Treating OTE as guaranteed
OTE is the target at full attainment, not a commitment. It should always be read alongside the attainment rate.
Reading a blended average as a benchmark
A number that is not segmented by role, level, and geography obscures the variation that matters and produces ranges that fit no one precisely.
Mismatching the role
An Account Executive benchmark is incomplete without the segment attached, because SMB, Mid-Market, and Enterprise AEs perform different work and command different pay.
Comparing across mismatched periods
OTE and quota must cover the same time period. An annual OTE measured against a quarterly quota produces a meaningless comparison.
Accepting inflated attainment claims
Even strong sales organizations typically see attainment in the 50-60 percent range. A claim that nearly everyone reaches OTE usually signals an inflated figure or a quota set so low that OTE is practically guaranteed.
Reading a benchmark accurately, with the right terms, an understanding of the distribution, and attainment held alongside OTE, is the foundation. The next step is interpretation: understanding why a given role and segment carry the pay structure they do. The second guide in this series examines why an Enterprise AE has a different pay mix from an SMB AE, and why two plans with nearly identical OTE can yield very different outcomes once attainment is factored in.
RevEng Consulting is a B2B go-to-market and revenue consulting firm with offices in Chicago, Houston, and Los Angeles, designing the revenue architecture that turns demand into pipeline.
RepVue provides crowdsourced compensation and quota attainment data from verified B2B software sellers. Explore data by role, company, and level at repvue.com.
Related
What Does Market Competitive Mean? explores benchmarking and positioning in depth.
The Sales Compensation Growth Model on revengconsulting.com provides the complete framework for how segmentation, roles, and compensation connect.