OTE — On-Target Earnings — is the number that anchors every hiring conversation, every plan design decision, and every retention risk assessment. Get it wrong by 10% and you're either overpaying the market or losing your best people. Get it wrong by 20% and you're doing both.
Most companies set OTE using one of three methods: copying what competitors posted on a job board last quarter, asking a recruiter what "the market" looks like, or using the same number they paid last year plus a vague cost-of-living adjustment. None of these are rigorous. None account for the variables that actually drive comp ranges.
This guide — and the benchmarking tool below — gives you a data-informed starting point for the most common sales roles, adjusted for the factors that actually matter.
The five factors that determine OTE
1. Role complexity and quota responsibility
An SDR booking discovery calls and an Enterprise AE closing seven-figure deals are both "sales roles" with wildly different OTE expectations. The spectrum runs from Business Development Reps ($60–90K OTE) through Mid-Market AEs ($140–200K) to Strategic/Enterprise AEs ($250–400K+). The driver is quota size and deal complexity, not title.
2. Geography and cost of labor
A San Francisco AE and a Dallas AE doing the same job for the same company can have a 20–35% OTE difference and both be market-competitive. Remote work has compressed this somewhat, but geographic differentials remain real — especially for roles that require in-person selling.
3. Company stage and revenue scale
A Series A startup pays differently than a public company — not just in equity vs. cash mix, but in base OTE levels. Early-stage companies typically run 10–20% below market on cash OTE but compensate with equity upside. Growth-stage companies ($20M–$100M ARR) often pay at or above market to attract proven closers. Mature enterprises pay market with stability and benefits as the differentiator.
4. Industry and product type
Enterprise SaaS, cybersecurity, and financial services pay at the top of market. Manufacturing, professional services, and non-tech industries pay 15–30% lower for equivalent roles. The gap is driven by margin structure — high-margin products can support higher comp loads.
5. Pay mix — the part most people forget
Two companies both offering $200K OTE can feel completely different if one is 50/50 base/variable and the other is 70/30. The mix affects risk appetite, selling behavior, and who accepts the offer. Aggressive mixes (50/50 or more variable) attract hunters. Conservative mixes (70/30 or 80/20) attract relationship builders and farmers.
OTE should be roughly 5–8x the quota-to-OTE ratio for individual contributors. If a rep's quota is $1M, OTE should be in the $125K–$200K range depending on role type and deal complexity. If the ratio is below 4x, you're probably overpaying relative to expected production. Above 10x, you'll struggle to attract talent.
OTE Benchmarker
Select your parameters and get a market-informed compensation range.
How to use this data
Setting new hire OTE
Target the 50th percentile (median) for standard hires. Go to 65th–75th percentile for high-priority roles or competitive markets. Going above 75th without a clear reason creates cost structure problems and sets expectations you may not sustain.
Evaluating your current team
If your top performers are below the 25th percentile, you have a retention problem — even if they haven't told you yet. If your average performers are above the 75th percentile, you're paying for performance you're not getting. Both situations erode trust and waste budget.
Pay mix decisions
Once you've set OTE, the pay mix decision follows. Roles with shorter sales cycles and higher transaction volume typically run 50/50 to 60/40. Roles with longer enterprise cycles run 60/40 to 70/30. Overlay roles (SEs, AMs) run 70/30 to 80/20. The mix should reflect how much the rep controls the outcome — more control, more variable.
CompSignal provides continuously updated compensation benchmarks powered by BLS labor market data — not annual surveys that are stale by the time they publish. Track market shifts in real-time, set geo-adjusted ranges, and make data-backed comp decisions without paying $30K for a survey license. Learn more about CompSignal →
Want precision, not ranges?
This tool gives you directional market data. For role-specific, geography-adjusted benchmarks tied to your exact team structure, talk to us.
Get Custom Benchmarks →Frequently asked questions
Our ranges are informed by BLS (Bureau of Labor Statistics) occupational wage data, combined with practitioner experience across hundreds of compensation plans. They represent realistic market ranges, not aspirational figures from job postings (which tend to skew high).
Compensation ranges shift 3–6% annually for most roles, with occasional larger jumps in high-demand areas like cybersecurity and AI/ML. We update this tool quarterly. For real-time market tracking, CompSignal provides continuously refreshed data.
Matching the median is defensible for most hires. Go to 65th–75th percentile when: (a) the role is critical and hard to fill, (b) you're competing in a hot market, or (c) you're asking for above-average performance. Don't default to 75th for everyone — it creates a cost structure that's hard to sustain.
Most companies have settled on one of three approaches: pay based on company HQ location, pay based on rep location, or set a national median with modest geo adjustments. The "Remote US" option in our tool reflects the national median — a reasonable middle ground for distributed teams.
This tool covers cash OTE only (base + target variable). Equity, benefits, and perks add 15–40% of additional value depending on company stage. Early-stage startups should factor in equity value when comparing against these cash benchmarks.