Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
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Explain sales commission calculations, resolve discrepancies, and model compensation scenarios for quota planning
日本語の概要は準備中です。原文の説明を表示しています。
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Demystify sales compensation by explaining commission calculations, identifying discrepancies, and modeling payout scenarios.
Based on Alexander Group Sales Compensation Design and WorldatWork Incentive Compensation principles, covering:
| Claude Does | You Decide |
|---|---|
| Explains calculation logic | Final payout approvals |
| Identifies discrepancies | Exception handling |
| Models scenarios | Plan design choices |
| Documents rules clearly | Policy changes |
| Calculates examples | Quota assignments |
Explain this commission calculation:
Rep: [Name]
Role: [AE, SDR, etc.]
Quota: $[Amount]/[Period]
Closed this period: $[Amount]
Comp plan rules:
- Base: $X
- OTE: $X
- Variable: X% of base
- Commission rate: X% up to quota
- Accelerator: X% above quota
Deals closed:
- [List deals with amounts and close dates]
Statement shows: $[Commission Amount]
Rep expected: $[Expected Amount]
Common Structures:
| Type | Description |
|---|---|
| Revenue Commission | % of deal value |
| Quota-Based | % payout based on attainment |
| Tiered | Different rates at different levels |
| Draw | Advance against future commissions |
| MBO | Bonus for specific objectives |
Attainment % = (Closed Revenue / Quota) × 100
Example:
- Quota: $500,000
- Closed: $450,000
- Attainment: 90%
Standard Calculation:
Base Commission = Closed Revenue × Commission Rate
With Quota Thresholds:
- Below 50% attainment: 0% payout (common)
- 50-100% attainment: Linear payout
- Above 100%: Accelerator rate kicks in
Accelerator Example:
Plan: 10% up to quota, 15% above quota
Quota: $500K, Closed: $600K
Commission:
- First $500K × 10% = $50,000
- Next $100K × 15% = $15,000
- Total: $65,000
| Scenario | Rule |
|---|---|
| Split deals | Divide credit per agreement |
| Multi-year | Recognize per year or upfront |
| Churn/Clawback | Deduct if customer cancels |
| Ramped quota | Reduced quota for new hires |
| SPIFs | One-time bonus amounts |
Common Issues:
| Issue | Cause | Resolution |
|---|---|---|
| Missing deal | Not in CRM | Add deal, recalculate |
| Wrong amount | Incorrect ACV | Verify contract value |
| Wrong rate | Tier confusion | Check attainment level |
| Split error | Credit allocation | Review split agreement |
| Timing | Revenue recognition | Check close date vs. pay period |
Input:
Explain why Sarah's commission is $12,500:
Rep: Sarah (AE)
Quota: $200,000/quarter
Q4 Closed: $175,000
Comp plan:
- OTE: $200,000 (50/50 split)
- Variable: $100,000/year = $25,000/quarter
- At 100% attainment: Full $25K variable
- Linear payout from 50-100%
- Accelerator: 1.5x above 100%
Deals:
- Acme Corp: $80,000 (Oct 15)
- Beta Inc: $45,000 (Nov 3)
- Gamma LLC: $50,000 (Dec 20)
Total: $175,000
Output:
## Commission Breakdown: Sarah - Q4
### Step 1: Verify Closed Revenue
| Deal | Amount | Close Date | ✓ |
|------|--------|------------|---|
| Acme Corp | $80,000 | Oct 15 | ✓ Q4 |
| Beta Inc | $45,000 | Nov 3 | ✓ Q4 |
| Gamma LLC | $50,000 | Dec 20 | ✓ Q4 |
| **Total** | **$175,000** | | ✓ |
### Step 2: Calculate Attainment
Attainment = $175,000 / $200,000 = 87.5%
### Step 3: Apply Commission Formula
**Plan Rules:**
- 50% threshold: Below 50% = $0
- 50-100%: Linear from $0 to $25,000
- 100%+: 1.5x accelerator
**Calculation:**
Sarah is at 87.5% (between 50% and 100%)
Linear formula: Payout = (Attainment - 50%) / 50% × Full Variable Payout = (87.5% - 50%) / 50% × $25,000 Payout = 37.5% / 50% × $25,000 Payout = 75% × $25,000 Payout = $18,750
### ⚠️ Discrepancy Found!
**Statement shows**: $12,500
**Calculated**: $18,750
**Difference**: $6,250 underpaid
### Likely Cause
If system shows $12,500, it may be calculating:
$12,500 / $25,000 = 50% payout
This would happen if:
1. One deal not credited (Beta Inc $45K?)
2. Wrong formula (% of revenue vs % of variable)
3. Deal attributed to different quarter
### Recommended Action
1. Verify all 3 deals in commission system
2. Check if Beta Inc close date is in Q4
3. Confirm formula is linear 50-100%, not flat rate
4. Escalate to compensation admin with this breakdown
Input:
Model commission scenarios for Mike:
Current:
- Quota: $400,000/quarter
- OTE: $240,000 (60/40 split)
- Variable: $96,000/year = $24,000/quarter
- Rate: 6% of revenue up to quota
- Accelerator: 9% above quota
Q1 pipeline:
- Committed: $320,000
- Best case: $450,000
- Upside: $600,000
What would Mike earn in each scenario?
Output:
## Commission Scenarios: Mike - Q1
### Plan Summary
- Quota: $400,000
- At-quota commission: $24,000 (6% × $400K)
- Accelerator: 9% above quota
### Scenario Analysis
#### Scenario 1: Commit Only ($320K)
Attainment: 80% Revenue: $320,000
Commission at 6%: $320,000 × 6% = $19,200
Quarterly Variable: $19,200 Annualized: $76,800 vs OTE Variable ($96K): -$19,200
**Status**: Below quota, standard rate applies
---
#### Scenario 2: Best Case ($450K)
Attainment: 112.5% Revenue: $450,000
Below quota: $400,000 × 6% = $24,000 Above quota: $50,000 × 9% = $4,500
Total Commission: $28,500
Quarterly Variable: $28,500 vs At-Quota ($24K): +$4,500 (19% bonus)
**Status**: Accelerator kicks in, strong quarter
---
#### Scenario 3: Upside ($600K)
Attainment: 150% Revenue: $600,000
Below quota: $400,000 × 6% = $24,000 Above quota: $200,000 × 9% = $18,000
Total Commission: $42,000
Quarterly Variable: $42,000 vs At-Quota ($24K): +$18,000 (75% bonus)
**Status**: Excellent quarter, maximizing accelerator
---
### Summary Table
| Scenario | Revenue | Attainment | Commission | vs Plan |
|----------|---------|------------|------------|---------|
| Commit | $320K | 80% | $19,200 | -$4,800 |
| Best Case | $450K | 112% | $28,500 | +$4,500 |
| Upside | $600K | 150% | $42,000 | +$18,000 |
### Key Insights
1. **Break-even point**: $400K (100% attainment)
2. **Accelerator value**: Each $10K above quota = $900 extra
3. **Commit gap**: Need $80K more to hit quota
4. **Upside potential**: 75% more commission if pipeline converts
### Recommendations for Mike
1. Focus on moving $80K from Best Case to Commit
2. Push for upside deals - 9% rate is lucrative
3. Prioritize larger deals for accelerator impact
## [Role] Compensation Plan - [Year]
### Structure
- Base Salary: $X
- OTE: $X
- Variable: $X (X% of OTE)
- Pay Period: [Monthly/Quarterly]
### Commission Mechanics
- Quota: $X/[period]
- Base Rate: X%
- Accelerator: X% above quota
- Threshold: X% minimum attainment
### Special Rules
- Splits: [Policy]
- Clawbacks: [Policy]
- Ramping: [New hire policy]
### Examples
[Include 3 scenarios at 80%, 100%, 120%]
pipeline-forecasting - Project commission from forecastdeal-risk-scoring - Prioritize high-commission dealsquota-planning - Set achievable targetsまだレビューはありません。使ってみた感想をお寄せください。
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Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
日本語の概要は準備中です。原文の説明を表示しています。
Assess customer account health using product usage, support sentiment, payment status, and relationship signals
日本語の概要は準備中です。原文の説明を表示しています。
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
日本語の概要は準備中です。原文の説明を表示しています。
Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
日本語の概要は準備中です。原文の説明を表示しています。