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Afrexai Sales Compensation

Sales Compensation Plan Designer

1kalin0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

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skillhub install 1kalin/afrexai-sales-compensation

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技能说明

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

Compensation Plan Framework

Step 1: Role Classification

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
Step 2: Quota Setting Methodology

Use bottom-up capacity model:

  1. TAM Analysis — addressable market in territory
  2. Historical Performance — trailing 4-quarter attainment distribution
  3. Ramp Adjustment — new hires at 25/50/75/100% quota months 1-4
  4. Coverage Ratio — pipeline-to-quota (3x minimum for new business, 2x for expansion)
  5. 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 Ra...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-sales-compensation
Version
—
Commit
8305564665f1799778a4cff15139241f878ab56f
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

Sales Compensation Plan Designer

Design, audit, and optimize sales comp plans that drive the right behavior. Covers AE, SDR, CSM, SE, Channel, and VP-level plan architectures with 2026 benchmarks.

What's Inside

  • Role-specific OTE and split benchmarks across 10 industries
  • Quota setting methodology — bottom-up capacity model, not top-down guesswork
  • Accelerator/decelerator curve templates with rate multipliers
  • Plan cost modeling — bear/base/bull scenarios before you launch
  • 10-point annual audit checklist with scoring interpretation
  • SPIF design framework for short-term behavioral nudges
  • Clawback provisions — standard terms that protect without alienating
  • AI-era adjustments — how AI agents change SDR comp, ramp times, and quotas

Who It's For

  • Revenue leaders designing or overhauling comp plans
  • Sales ops teams modeling plan costs and coverage ratios
  • Founders setting up their first sales comp structure
  • CFOs auditing sales efficiency and CAC payback

Quick Start

Tell your agent: "Review our current sales comp plan using the sales compensation skill"

Or: "Design a comp plan for a mid-market AE role with $180K OTE"

2026 Industry Benchmarks Included

SaaS, Fintech, Healthcare IT, Cybersecurity, AI/ML, Legal Tech, Construction Tech, Manufacturing, Professional Services, Real Estate Tech.


Get your full industry AI strategy pack → afrexai-cto.github.io/context-packs ($47/pack)

Calculate your AI revenue leak → afrexai-cto.github.io/ai-revenue-calculator

Configure your AI agent workforce → afrexai-cto.github.io/agent-setup

Built by AfrexAI 🖤💛

来源内容

SKILL.md
# 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

## Compensation Plan Framework

### Step 1: Role Classification
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 |

### Step 2: Quota Setting Methodology
Use bottom-up capacity model:

1. **TAM Analysis** — addressable market in territory
2. **Historical Performance** — trailing 4-quarter attainment distribution
3. **Ramp Adjustment** — new hires at 25/50/75/100% quota months 1-4
4. **Coverage Ratio** — pipeline-to-quota (3x minimum for new business, 2x for expansion)
5. **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 Ra...
README
# Sales Compensation Plan Designer

Design, audit, and optimize sales comp plans that drive the right behavior. Covers AE, SDR, CSM, SE, Channel, and VP-level plan architectures with 2026 benchmarks.

## What's Inside

- **Role-specific OTE and split benchmarks** across 10 industries
- **Quota setting methodology** — bottom-up capacity model, not top-down guesswork
- **Accelerator/decelerator curve templates** with rate multipliers
- **Plan cost modeling** — bear/base/bull scenarios before you launch
- **10-point annual audit checklist** with scoring interpretation
- **SPIF design framework** for short-term behavioral nudges
- **Clawback provisions** — standard terms that protect without alienating
- **AI-era adjustments** — how AI agents change SDR comp, ramp times, and quotas

## Who It's For

- Revenue leaders designing or overhauling comp plans
- Sales ops teams modeling plan costs and coverage ratios
- Founders setting up their first sales comp structure
- CFOs auditing sales efficiency and CAC payback

## Quick Start

Tell your agent: *"Review our current sales comp plan using the sales compensation skill"*

Or: *"Design a comp plan for a mid-market AE role with $180K OTE"*

## 2026 Industry Benchmarks Included

SaaS, Fintech, Healthcare IT, Cybersecurity, AI/ML, Legal Tech, Construction Tech, Manufacturing, Professional Services, Real Estate Tech.

---

**Get your full industry AI strategy pack →** [afrexai-cto.github.io/context-packs](https://afrexai-cto.github.io/context-packs/) ($47/pack)

**Calculate your AI revenue leak →** [afrexai-cto.github.io/ai-revenue-calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)

**Configure your AI agent workforce →** [afrexai-cto.github.io/agent-setup](https://afrexai-cto.github.io/agent-setup/)

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) 🖤💛

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