Install
openclaw skills install afrexai-sales-compensationDesign and optimize sales compensation plans including quota setting, OTE splits, accelerators, clawbacks, SPIFs, and multi-role structures for effective inc...
openclaw skills install afrexai-sales-compensationDesign, audit, and optimize sales compensation structures that actually drive the behavior you want. Covers quota setting, OTE splits, accelerators, clawbacks, SPIFs, and multi-role plan architectures.
Classify the role before designing comp:
| Role Type | Typical OTE | Base/Variable Split | Quota Multiple |
|---|---|---|---|
| SDR/BDR | $65K-$90K | 70/30 | 3-5x variable |
| AE (SMB) | $100K-$140K | 50/50 | 4-6x OTE |
| AE (Mid-Market) | $150K-$200K | 50/50 | 4-5x OTE |
| AE (Enterprise) | $200K-$300K+ | 60/40 | 3-4x OTE |
| CSM/AM | $90K-$130K | 65/35 | 4-6x variable |
| Sales Engineer | $130K-$180K | 70/30 | Team-based |
| VP Sales | $250K-$400K+ | 55/45 | 2-3x OTE |
| Channel/Partner | $120K-$160K | 60/40 | 3-5x variable |
Use bottom-up capacity model:
Red flags in quota setting:
Base Structure:
Monthly Variable = (Attainment % × Quota × Commission Rate)
Accelerator Tiers (recommended):
| Attainment | Rate Multiplier | Rationale |
|---|---|---|
| 0-50% | 0.5x | Below threshold — reduced payout |
| 50-80% | 0.8x | Approaching target — building momentum |
| 80-100% | 1.0x | At plan — full commission rate |
| 100-120% | 1.3x | Above plan — reward overperformance |
| 120-150% | 1.5x | President's Club territory |
| 150%+ | 1.8-2.0x | Uncapped or soft cap (model both) |
Commission Rate Benchmarks:
For complex plans, weight components:
| Component | Weight | Metric |
|---|---|---|
| New Logo Revenue | 50-60% | New ACV closed |
| Expansion Revenue | 20-30% | Net expansion ACV |
| Strategic Objective | 10-20% | Product mix, multi-year, strategic accounts |
| Activity Metrics | 0-10% | Pipeline generated (SDRs only) |
Rule: Never more than 3 variable components. Complexity kills motivation.
Standard terms:
Use SPIFs for 2-4 week behavioral nudges:
SPIF rules:
Model these scenarios before launching:
Healthy ratios:
Score each item 1-10:
Score interpretation:
| Industry | Avg AE OTE | Base/Var | Quota:OTE | Avg Attainment |
|---|---|---|---|---|
| SaaS | $165K | 50/50 | 5x | 62% |
| Fintech | $185K | 55/45 | 4.5x | 58% |
| Healthcare IT | $155K | 55/45 | 5x | 65% |
| Cybersecurity | $175K | 50/50 | 4x | 60% |
| AI/ML | $190K | 50/50 | 4x | 55% |
| Legal Tech | $145K | 55/45 | 5.5x | 68% |
| Construction Tech | $135K | 55/45 | 6x | 70% |
| Manufacturing | $140K | 60/40 | 5.5x | 67% |
| Professional Services | $150K | 55/45 | 5x | 64% |
| Real Estate Tech | $130K | 55/45 | 6x | 72% |
Sales teams using AI agents for prospecting, qualification, and proposal generation are seeing:
Comp plan implications:
Built by AfrexAI — AI context packs for businesses that ship.
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