Introduction – There is no universal “right” number
If you ask ten salespeople what a “good” incentive level looks like, you’ll get ten different answers. That’s because sales incentive levels only make sense in context.
Incentive levels depend on:
- Role (hunter vs farmer, SMB vs enterprise, SDR vs AE)
- Effort and influence required (how much persuasion and orchestration is needed)
- Sales cycle length (days vs months)
- Product maturity (new category vs established demand)
- Company stage (early-stage risk vs mature predictability)
A plan that feels generous in a transactional inbound role may feel underpowered in enterprise new business, and vice versa.
Base vs variable: the foundation
Most sales compensation plans combine:
- Fixed pay (base salary) to provide stability
- Variable pay (commission/bonus) to drive focus and reward performance
The split between the two is often called the pay mix, and it reflects three big things:
- Risk: How much income variability is reasonable for the role?
- Control: How much of the outcome is in the rep’s hands vs marketing, product, pricing, territory, or brand pull?
- Persuasion effort: How much influence, stakeholder management, and deal work is required?
In many B2B sales environments, you’ll commonly see base representing ~50–60% of OTE and variable ~40–50% of OTE, but that range shifts meaningfully by role.
Reminder: OTE (On-Target Earnings) is typically defined as base + variable at 100% quota/target.
Effort and influence matter
A practical way to judge “good levels” is to ask:
How much does the salesperson truly influence the outcome?
Higher variable components usually apply when:
- The salesperson must persuade and influence decision-makers
- Sales cycles are longer
- Outcomes depend heavily on individual execution
- Deals are complex, strategic, or multi-stakeholder
This is why Account Executives in mid-market and enterprise often land around a 50/50 mix (or close).
Lower variable components apply when:
- Sales is more transactional
- Decision-making is automated or inbound-led
- The rep’s role is more service + processing than persuasion
In these cases, a heavier base can be fairer because the rep is not “driving the engine” as much as “operating within it”.
Company stage and product maturity
Early-stage companies
Early-stage businesses often offer:
- Higher upside (to attract risk-takers)
- Less predictability in pipeline, product fit, and brand pull
- More experimentation with accelerators and thresholds
Mature companies
Mature companies tend to optimize for:
- More structured plans and governance
- A more balanced mix of risk and predictability
- Retention, expansion, and operational consistency
This is also where the system behind incentives matters more. As programs grow, manual management (spreadsheets, disconnected data) increases disputes and erodes trust. Motiwai’s positioning is built around handling complexity end-to-end: design, calculation, operations, and assessment.
If your organisation sells across multiple channels, this article ties directly to the problem: The Multi-Channel Challenge: Why Incentives Often Fall Short
Common 50/50 roles (fixed / variable)
A 50/50 pay mix is common for roles where the re er, such as:
- Account Executives in complex B2B
- Enterprise sellers
- New business roles with long sales cycles
- Strategic overlay roles
Why it works: it balances the reality that enterprise selling is volatile, while still making variable meaningful enough to shape behavior.
Roles where OTE can realistically double
Many salespeople hear “uncapped” and assume doubling OTE is normal. In reality, 2× OTE tends to happen in specific setups, especially when you combine big deal sizes with strong accelerators.
Common practices where top performers can reach 2× OTE:
- New business hunters
- Enterprise AEs with accelerators
- Strategic product specialists
- High-impact overlay roles
But it only feels fair when these conditions are true:
- Clear rules (no “surprises” at payout time)
- No artificial caps
- Transparent accelerators
- Strong governance (to prevent exceptions, errors, and “politics”)
This is exactly where modern Incentive Compensation Management (ICM) practices help. When reps can see the logic, track progress, and trust payout accuracy, motivation increases and disputes drop.
7. What good incentives feel like to a sales person
From the rep’s point of view, “good levels” aren’t just about the percentage. They feel:
- **Underx hire.”
- Achievable but challenging: quota feels earned, not random
- Paid on time: delays quickly destroy motivation and trust
- Fair across peers: crediting, territories, and edge cases are consistent
- Clearly linked to effort: the best reps can out-earn the average without gaming the system
If repdid you calculate this?”, the plan may not be transparent enough. Motiwai’s content repeatedly highlights transparency, real-time visibility, and dispute reduction as key trust drivers.
Employer perspective
From the employer’s side, “good incentive levels” must balance motivation with control:
- Motivation without chaos: reward aves
- Cost control: avoid runaway payouts that don’t map to margin or strategy
- Predictability: finance needs reliable forecasting and auditability
- Retention of top performers: the best reps should feel recognized, not “managed down”
Research often cited in the incentives space shows well-structured incentive programs can materially lift performance, especially when run over longer periods (for example, IRF research discusses sizable average gains in longer-term programs).
Operationally, the employer perspective also includes: clean inputs, consistent crediting, audit trails, and governance. Your materials emphasize that administration quality (not just plan design) can make or break outcomes.
Closing
Good incentives reward effort, not luck.
The “right” level depends on role, influence, cycle length, and business maturity.
But here’s the part most teams learn the hard way: systems matter as much as percentages.
A strong pay mix with weak operations becomes a trunts, disputes, inconsistent crediting, and endless exceptions. A well-run incentives engine, by contrast, turns compensation into a strategic tool that stays fair, transparent, and scalable as complexity grows.
Get in touch with Motiwai today to learn more about our solution.