Compensation & Salary Benchmarking Planner
Build data-driven compensation structures that attract talent without overpaying. Covers base salary bands, equity/bonus frameworks, geographic differentials, and total rewards packaging.
When to Use
- Building or revising salary bands for any role
- Preparing for hiring sprints and need market-rate data
- Conducting annual compensation reviews
- Designing equity/bonus/commission structures
- Benchmarking against competitors to reduce turnover
How It Works
When asked to build a compensation plan, follow this framework:
1. Role Architecture
Define job levels and salary bands:
| Level |
Title Pattern |
Base Range (US) |
Equity % |
Bonus Target |
| L1 |
Associate / Junior |
$45K-$70K |
0-0.01% |
0-5% |
| L2 |
Mid-level |
$70K-$110K |
0.01-0.05% |
5-10% |
| L3 |
Senior |
$110K-$160K |
0.05-0.15% |
10-15% |
| L4 |
Staff / Lead |
$150K-$210K |
0.1-0.3% |
15-20% |
| L5 |
Principal / Director |
$190K-$280K |
0.2-0.5% |
20-30% |
| L6 |
VP / C-level |
$250K-$400K+ |
0.5-2%+ |
30-50%+ |
2. Geographic Differentials
Apply cost-of-labor multipliers (not cost-of-living):
| Tier |
Markets |
Multiplier |
| Tier 1 |
SF Bay, NYC, London |
1.0x (baseline) |
| Tier 2 |
Seattle, Boston, LA, Chicago |
0.90-0.95x |
| Tier 3 |
Austin, Denver, Manchester, Berlin |
0.80-0.85x |
| Tier 4 |
Remote US/UK secondary markets |
0.70-0.80x |
| Tier 5 |
Eastern Europe, LATAM, SEA |
0.40-0.60x |
3. Total Compensation Package
Break down total rewards:
Cash Compensation
- Base salary: 60-80% of total comp (varies by seniority)
- Performance bonus: 5-30% of base
- Commission (sales roles): 40-60% of OTE
Equity Compensation
- Startup (pre-Series B): 0.01%-2% based on level, 4-year vest, 1-year cliff
- Growth stage: RSUs, lower % but higher dollar value
- Public company: RSU grants refreshed annually
Benefits & Perks (typically 20-35% on top of base)
- Health insurance: $6K-$24K/yr employer cost per employee (US)
- 401(k)/pension match: 3-6% of salary
- PTO: 15-25 days (US), 25-33 days (UK/EU statutory + company)
- Learning budget: $1K-$5K/yr
- Remote stipend: $100-$250/mo
- Parental leave: 12-26 weeks (competitive)
4. Pay Equity Audit
Run these checks quarterly:
- Compa-ratio by role: Actual pay ÷ midpoint of band. Target: 0.90-1.10
- Gender pay gap: Compare median comp by gender within each level
- Tenure compression: Are new hires making more than 2-year veterans? Fix with retention adjustments
- Band penetration: % of employees above 1.0 compa-ratio (flag if >30%)
5. Annual Review Cycle
| Month |
Action |
| Jan |
Market data refresh (Levels.fyi, Glassdoor, Radford, Mercer) |
| Feb |
Manager calibration sessions |
| Mar |
Budget allocation (typically 3-5% of payroll for merit increases) |
| Apr |
Communicate adjustments, effective date |
| Jul |
Mid-year equity refresh grants |
| Oct |
Prepare next year's comp budget proposal |
6. Offer Benchmarking Checklist
Before extending any offer:
7. Retention Risk Scoring
| Factor |
Weight |
Score (1-5) |
| Below market rate (>10% under) |
25% |
|
| Time since last raise (>18 months) |
20% |
|
| Flight risk signals (LinkedIn active, disengaged) |
20% |
|
| Critical role / hard to replace |
20% |
|
| Tenure > 3 years with no promotion |
15% |
|
Score > 3.5 = immediate retention conversation needed
Score 2.5-3.5 = include in next review cycle, prioritize
Score < 2.5 = monitor quarterly
8. Commission & Sales Comp
For revenue roles, design OTE (On-Target Earnings):
- Base:Variable split: 50:50 (hunters), 60:40 (farmers), 70:30 (CS/AM)
- Accelerators: 1.5-3x rate above quota (motivates overperformance)
- Decelerators: 0.5x rate below 80% quota (protects company)
- Clawback policy: Define for churned deals within 90 days
- SPIFs: Short-term incentives for strategic pushes ($500-$5K per qualifying action)
Key Metrics to Track
- Offer acceptance rate: Target >85% (below = comp is off-market)
- Regrettable attrition: Target <10% (above = retention issue)
- Time to fill: If increasing, may signal comp competitiveness problem
- Cost per hire: Include recruiter fees, signing bonuses, relocation
- Revenue per employee: Benchmark against industry ($200K-$400K SaaS, $150K-$250K services)
Data Sources (2026)
- Levels.fyi — Best for tech roles, real verified data
- Glassdoor — Broad coverage, self-reported
- Payscale — Small business focus
- Radford (Aon) — Enterprise-grade, paid surveys
- Mercer — Global comp data, paid
- LinkedIn Salary Insights — Good for role-specific ranges
- BLS Occupational Employment Statistics — Government baseline
More Frameworks
Need deeper operational frameworks for your industry?
AfrexAI Context Packs — $47 each. Pre-built agent knowledge for Fintech, Healthcare, Legal, SaaS, Recruitment, and 5 more verticals.
AI Revenue Calculator — Free tool. Find where you're losing money to manual work.
Agent Setup Wizard — Configure your AI agent stack in minutes.
Bundles:
- Pick 3 packs — $97
- All 10 packs — $197
- Everything bundle — $247
1---2name: compensation-salary-benchmarking-planner3description: Build data-driven compensation structures that attract talent without overpaying. Covers base salary bands, equity/bonus frameworks, geographic differentials, and total rewards packaging.4---5
6# Compensation & Salary Benchmarking Planner
7
8Build data-driven compensation structures that attract talent without overpaying. Covers base salary bands, equity/bonus frameworks, geographic differentials, and total rewards packaging.
9
10## When to Use
11- Building or revising salary bands for any role
12- Preparing for hiring sprints and need market-rate data
13- Conducting annual compensation reviews
14- Designing equity/bonus/commission structures
15- Benchmarking against competitors to reduce turnover
16
17## How It Works
18
19When asked to build a compensation plan, follow this framework:
20
21### 1. Role Architecture
22Define job levels and salary bands:
23
24| Level | Title Pattern | Base Range (US) | Equity % | Bonus Target |
25|-------|--------------|-----------------|----------|--------------|
26| L1 | Associate / Junior | $45K-$70K | 0-0.01% | 0-5% |
27| L2 | Mid-level | $70K-$110K | 0.01-0.05% | 5-10% |
28| L3 | Senior | $110K-$160K | 0.05-0.15% | 10-15% |
29| L4 | Staff / Lead | $150K-$210K | 0.1-0.3% | 15-20% |
30| L5 | Principal / Director | $190K-$280K | 0.2-0.5% | 20-30% |
31| L6 | VP / C-level | $250K-$400K+ | 0.5-2%+ | 30-50%+ |
32
33### 2. Geographic Differentials
34Apply cost-of-labor multipliers (not cost-of-living):
35
36| Tier | Markets | Multiplier |
37|------|---------|------------|
38| Tier 1 | SF Bay, NYC, London | 1.0x (baseline) |
39| Tier 2 | Seattle, Boston, LA, Chicago | 0.90-0.95x |
40| Tier 3 | Austin, Denver, Manchester, Berlin | 0.80-0.85x |
41| Tier 4 | Remote US/UK secondary markets | 0.70-0.80x |
42| Tier 5 | Eastern Europe, LATAM, SEA | 0.40-0.60x |
43
44### 3. Total Compensation Package
45Break down total rewards:
46
47**Cash Compensation**
48- Base salary: 60-80% of total comp (varies by seniority)
49- Performance bonus: 5-30% of base
50- Commission (sales roles): 40-60% of OTE
51
52**Equity Compensation**
53- Startup (pre-Series B): 0.01%-2% based on level, 4-year vest, 1-year cliff
54- Growth stage: RSUs, lower % but higher dollar value
55- Public company: RSU grants refreshed annually
56
57**Benefits & Perks** (typically 20-35% on top of base)
58- Health insurance: $6K-$24K/yr employer cost per employee (US)
59- 401(k)/pension match: 3-6% of salary
60- PTO: 15-25 days (US), 25-33 days (UK/EU statutory + company)
61- Learning budget: $1K-$5K/yr
62- Remote stipend: $100-$250/mo
63- Parental leave: 12-26 weeks (competitive)
64
65### 4. Pay Equity Audit
66Run these checks quarterly:
67
681. **Compa-ratio by role**: Actual pay ÷ midpoint of band. Target: 0.90-1.10
692. **Gender pay gap**: Compare median comp by gender within each level
703. **Tenure compression**: Are new hires making more than 2-year veterans? Fix with retention adjustments
714. **Band penetration**: % of employees above 1.0 compa-ratio (flag if >30%)
72
73### 5. Annual Review Cycle
74
75| Month | Action |
76|-------|--------|
77| Jan | Market data refresh (Levels.fyi, Glassdoor, Radford, Mercer) |
78| Feb | Manager calibration sessions |
79| Mar | Budget allocation (typically 3-5% of payroll for merit increases) |
80| Apr | Communicate adjustments, effective date |
81| Jul | Mid-year equity refresh grants |
82| Oct | Prepare next year's comp budget proposal |
83
84### 6. Offer Benchmarking Checklist
85Before extending any offer:
86- [ ] Check 3+ data sources (Levels.fyi, Glassdoor, Payscale, LinkedIn Salary)
87- [ ] Confirm geographic tier and apply multiplier
88- [ ] Calculate total comp (base + bonus + equity annualized + benefits value)
89- [ ] Compare to internal peers at same level (±10% band)
90- [ ] Document justification if above band midpoint
91- [ ] Get sign-off from hiring manager + finance/HR
92
93### 7. Retention Risk Scoring
94
95| Factor | Weight | Score (1-5) |
96|--------|--------|-------------|
97| Below market rate (>10% under) | 25% | |
98| Time since last raise (>18 months) | 20% | |
99| Flight risk signals (LinkedIn active, disengaged) | 20% | |
100| Critical role / hard to replace | 20% | |
101| Tenure > 3 years with no promotion | 15% | |
102
103**Score > 3.5** = immediate retention conversation needed
104**Score 2.5-3.5** = include in next review cycle, prioritize
105**Score < 2.5** = monitor quarterly
106
107### 8. Commission & Sales Comp
108For revenue roles, design OTE (On-Target Earnings):
109- **Base:Variable split**: 50:50 (hunters), 60:40 (farmers), 70:30 (CS/AM)
110- **Accelerators**: 1.5-3x rate above quota (motivates overperformance)
111- **Decelerators**: 0.5x rate below 80% quota (protects company)
112- **Clawback policy**: Define for churned deals within 90 days
113- **SPIFs**: Short-term incentives for strategic pushes ($500-$5K per qualifying action)
114
115## Key Metrics to Track
116- **Offer acceptance rate**: Target >85% (below = comp is off-market)
117- **Regrettable attrition**: Target <10% (above = retention issue)
118- **Time to fill**: If increasing, may signal comp competitiveness problem
119- **Cost per hire**: Include recruiter fees, signing bonuses, relocation
120- **Revenue per employee**: Benchmark against industry ($200K-$400K SaaS, $150K-$250K services)
121
122## Data Sources (2026)
123- Levels.fyi — Best for tech roles, real verified data
124- Glassdoor — Broad coverage, self-reported
125- Payscale — Small business focus
126- Radford (Aon) — Enterprise-grade, paid surveys
127- Mercer — Global comp data, paid
128- LinkedIn Salary Insights — Good for role-specific ranges
129- BLS Occupational Employment Statistics — Government baseline
130
131---
132
133## More Frameworks
134
135Need deeper operational frameworks for your industry?
136
137**[AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/)** — $47 each. Pre-built agent knowledge for Fintech, Healthcare, Legal, SaaS, Recruitment, and 5 more verticals.
138
139**[AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)** — Free tool. Find where you're losing money to manual work.
140
141**[Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)** — Configure your AI agent stack in minutes.
142
143**Bundles:**
144- Pick 3 packs — $97
145- All 10 packs — $197
146- Everything bundle — $247
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