# Send Sales Compensation Plan Designer to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
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      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/afrexai-sales-compensation"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/afrexai-sales-compensation",
    "downloadUrl": "https://openagent3.xyz/downloads/afrexai-sales-compensation",
    "agentUrl": "https://openagent3.xyz/skills/afrexai-sales-compensation/agent",
    "manifestUrl": "https://openagent3.xyz/skills/afrexai-sales-compensation/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/afrexai-sales-compensation/agent.md"
  }
}
```
## Documentation

### Sales Compensation Plan Designer

Design, 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.

### When to Use

Designing comp plans for new sales roles (AE, SDR, CSM, SE, Channel)
Auditing existing plans for misaligned incentives
Modeling plan costs and quota coverage ratios
Building accelerator/decelerator curves
Comparing comp structures across industry benchmarks

### Step 1: Role Classification

Classify the role before designing comp:

Role TypeTypical OTEBase/Variable SplitQuota MultipleSDR/BDR$65K-$90K70/303-5x variableAE (SMB)$100K-$140K50/504-6x OTEAE (Mid-Market)$150K-$200K50/504-5x OTEAE (Enterprise)$200K-$300K+60/403-4x OTECSM/AM$90K-$130K65/354-6x variableSales Engineer$130K-$180K70/30Team-basedVP Sales$250K-$400K+55/452-3x OTEChannel/Partner$120K-$160K60/403-5x variable

### Step 2: Quota Setting Methodology

Use bottom-up capacity model:

TAM Analysis — addressable market in territory
Historical Performance — trailing 4-quarter attainment distribution
Ramp Adjustment — new hires at 25/50/75/100% quota months 1-4
Coverage Ratio — pipeline-to-quota (3x minimum for new business, 2x for expansion)
Quota:OTE Ratio — should be 4-6x. Below 3x = overpaying. Above 8x = nobody hits it.

Red flags in quota setting:

Top-down only (board target ÷ headcount)
Same quota for all territories regardless of TAM
No ramp period for new hires
Changing quotas mid-quarter
More than 60% of reps missing quota (plan problem, not people problem)

### Step 3: Variable Compensation Design

Base Structure:

Monthly Variable = (Attainment % × Quota × Commission Rate)

Accelerator Tiers (recommended):

AttainmentRate MultiplierRationale0-50%0.5xBelow threshold — reduced payout50-80%0.8xApproaching target — building momentum80-100%1.0xAt plan — full commission rate100-120%1.3xAbove plan — reward overperformance120-150%1.5xPresident's Club territory150%+1.8-2.0xUncapped or soft cap (model both)

Commission Rate Benchmarks:

New Business: 8-12% of ACV
Expansion/Upsell: 4-8% of ACV
Renewal: 1-3% of ACV
Multi-year: 1.2-1.5x first-year rate

### Step 4: Plan Component Mix

For complex plans, weight components:

ComponentWeightMetricNew Logo Revenue50-60%New ACV closedExpansion Revenue20-30%Net expansion ACVStrategic Objective10-20%Product mix, multi-year, strategic accountsActivity Metrics0-10%Pipeline generated (SDRs only)

Rule: Never more than 3 variable components. Complexity kills motivation.

### Step 5: Clawback and Recovery Provisions

Standard terms:

Churn clawback: Pro-rata recovery if customer churns within 6-12 months
Non-payment clawback: Commission reversed if invoice unpaid >90 days
Early termination: Unvested accelerators forfeit on voluntary departure
Draw recovery: Unearned draws recovered from future commissions (max 2 quarters)

### Step 6: SPIF Design (Short-term Incentive)

Use SPIFs for 2-4 week behavioral nudges:

New product launch push ($500-$2,000 per deal)
Quarter-end pipeline acceleration
Competitive displacement bonus
Multi-year contract premium

SPIF rules:

Max 4 per year (they lose impact if constant)
Clear start/end dates
Simple qualification (one metric)
Immediate payout (within 2 weeks of close)

### Step 7: Plan Cost Modeling

Model these scenarios before launching:

Bear case: 40% of reps at 80% attainment → total comp cost
Base case: 60% at quota, 20% above, 20% below → total comp cost
Bull case: 80% at 110%+ attainment → total comp cost (check for budget blow-up)

Healthy ratios:

Sales comp as % of revenue: 15-25% (SaaS)
CAC payback: <18 months
Quota:OTE: 4-6x
Rep productivity: >$500K ACV/AE/year at maturity

### Step 8: Annual Plan Audit Checklist

Score each item 1-10:

☐ Quota attainment distribution (bell curve centered at 100%?)
☐ Voluntary turnover of quota-carrying reps (<15%?)
☐ Time-to-ramp for new hires (meeting benchmark?)
☐ Deal size trends (growing or shrinking?)
☐ Discount depth (comp plan driving discounting?)
☐ Multi-year mix (incentive working?)
☐ Product mix (strategic products getting traction?)
☐ Comp cost as % of revenue (in healthy range?)
☐ Accelerator payouts (are top reps being rewarded enough?)
☐ Clawback frequency (too high = bad customers, too low = loose terms)

Score interpretation:

80-100: Plan is working. Minor tweaks only.
60-79: 2-3 components need redesign.
Below 60: Full plan overhaul needed.

### 2026 Benchmarks by Industry

IndustryAvg AE OTEBase/VarQuota:OTEAvg AttainmentSaaS$165K50/505x62%Fintech$185K55/454.5x58%Healthcare IT$155K55/455x65%Cybersecurity$175K50/504x60%AI/ML$190K50/504x55%Legal Tech$145K55/455.5x68%Construction Tech$135K55/456x70%Manufacturing$140K60/405.5x67%Professional Services$150K55/455x64%Real Estate Tech$130K55/456x72%

### Common Mistakes

Capping commissions — your best reps will leave for uncapped plans
Quarterly resets with no floor — creates sandbagging and feast/famine
Too many metrics — if reps can't calculate their own comp, the plan fails
Equal quotas across unequal territories — punishes reps in harder markets
Changing plans mid-year — destroys trust faster than anything else
No accelerators — linear plans don't motivate above-quota performance
Ignoring ramp periods — new hire attrition spikes when they can't earn early

### AI-Era Adjustments (2026+)

Sales teams using AI agents for prospecting, qualification, and proposal generation are seeing:

30-40% increase in rep capacity (more pipeline per AE)
SDR role compression (AI handles top-of-funnel → SDR quotas need restructuring)
Faster ramp times (AI-assisted onboarding cuts ramp by 30-45 days)
Higher quota expectations (adjust gradually — 10-15% annual increase, not 40% overnight)

Comp plan implications:

Shift SDR comp toward quality metrics (SQL conversion, not just meetings booked)
Add AI adoption component (5-10% of variable tied to tool utilization)
Model higher quotas with maintained OTE — don't cut OTE when raising quotas
Budget for AI tooling ($200-$500/rep/month) as sales cost, not IT cost

Built by AfrexAI — AI context packs for businesses that ship.

Get your industry-specific AI strategy pack: https://afrexai-cto.github.io/context-packs/ ($47/pack)

Calculate your AI revenue leak: https://afrexai-cto.github.io/ai-revenue-calculator/
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: 1kalin
- Version: 1.0.1
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/afrexai-sales-compensation)
- [Send to Agent page](https://openagent3.xyz/skills/afrexai-sales-compensation/agent)
- [JSON manifest](https://openagent3.xyz/skills/afrexai-sales-compensation/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/afrexai-sales-compensation/agent.md)
- [Download page](https://openagent3.xyz/downloads/afrexai-sales-compensation)