Sales Planning

What is the Ideal Sales Team Size for a $10M ARR Target?

Updated: November 1, 2025 | Source: Optifai Sales Ops Benchmark 2025 (N=939)

TL;DR

To achieve $10M ARR, B2B companies need an average of 10 sales reps (8-12 range). Varies by ACV: Low ACV ($10-30K) requires 15 reps, Mid ACV ($30-100K) needs 10 reps, High ACV ($100K+) requires only 5 reps. Quota per rep: $1M. SDR:AE ratio: 1:2. Source: Optifai Sales Ops Benchmark 2025 (N=939 companies, Q1-Q3 2025)

Related Resources

Team Size by ACV (Average Contract Value)

Low ACV ($10-30K)
15 reps
High-velocity sales model
• Quota: $667K/rep
• Win Rate: 30%
• Cycle: 30 days
Mid ACV ($30-100K)
10 reps
Industry standard (baseline)
• Quota: $1M/rep
• Win Rate: 25%
• Cycle: 45 days
High ACV ($100K+)
5 reps
Enterprise sales model
• Quota: $2M/rep
• Win Rate: 20%
• Cycle: 90 days

Full Go-to-Market Team Composition

RoleLow ACVMid ACVHigh ACV
Account Executives (AEs)15105
Sales Development Reps (SDRs)7-8 (1:2 ratio)5 (1:2 ratio)2-3 (1:2 ratio)
Sales Engineers (SEs)2-3 (shared)3-4 (1:3 ratio)3-4 (1:1.5 ratio)
Sales Managers2 (1:7-8 span)1-2 (1:5-10 span)1 (1:5 span)
Total Sales Headcount26-2819-2111-13

Key Findings

ACV is the Primary Driver

Team size varies by 3x based on ACV. Low ACV businesses ($10-30K contracts) need 15 AEs because: (1) Lower win rates require more volume, (2) Shorter sales cycles enable higher deal velocity, (3) Each rep handles 20-30 deals simultaneously. High ACV businesses ($100K+ contracts) need only 5 AEs because: (1) Larger deals justify longer pursuit times, (2) Higher quota per rep ($2M vs $667K), (3) Complex deals require deeper expertise (smaller books of business).

Quota Per Rep: The $1M Standard

The industry standard quota is $1M per AE annually for mid-market B2B SaaS ($30-100K ACV). This breaks down to:

  • $250K per quarter (4 quarters)
  • $83K per month (12 months)
  • With 25% win rate: $4M pipeline needed
  • At $50K ACV: 20 closed deals per year (1.7/month)

Adjust quota based on ACV: Lower for low ACV ($667K), higher for high ACV ($2M). Use quota attainment rates to calibrate: target 60-70% of reps hitting 100%+ quota annually.

SDR:AE Ratio: 1:2 Standard

Most companies maintain a 1:2 SDR-to-AE ratio (1 SDR supports 2 AEs). For $10M ARR with 10 AEs, you need 5 SDRs. Each SDR generates 15-20 qualified meetings per month, feeding 7-10 meetings to each AE. Adjust based on lead sources:

  • High inbound (40%+ leads): 1:3 ratio (fewer SDRs needed)
  • Balanced mix: 1:2 ratio (standard)
  • Outbound-heavy: 1:1.5 ratio (more SDRs needed)

Sales Engineer (SE) Requirements

SE needs scale with deal complexity:

  • Low ACV: 2-3 SEs shared across team (1:5+ ratio) - simple demos
  • Mid ACV: 3-4 SEs (1:3 ratio) - technical discovery and POCs
  • High ACV: 3-4 SEs (1:1.5 ratio) - deep technical engagement, custom solutions

Hiring Timeline & Cost Planning

18-Month Hiring Roadmap

Don't hire all 10 AEs on day one. Ramp gradually:

  • Months 1-6: 3 AEs + 2 SDRs + 1 Manager (early traction, $1.5-2M ARR)
  • Months 7-12: +4 AEs + 2 SDRs + 1 SE ($4-5M ARR)
  • Months 13-18: +3 AEs + 1 SDR + 1 SE ($8-10M ARR)

Account for 3.5-month ramp time. Hire in cohorts (2-3 reps) to enable batch onboarding and peer learning. Hire ahead of revenue targets by 4-6 months to allow for ramp.

Fully-Loaded Sales Team Cost

Budget for total compensation + overhead (assume 1.3x multiplier):

  • AE: $150K OTE (50/50 base/variable) → $195K fully-loaded
  • SDR: $70K OTE (60/40 base/variable) → $91K fully-loaded
  • SE: $140K salary → $182K fully-loaded
  • Manager: $180K OTE → $234K fully-loaded

Total for Mid-ACV model (10 AEs, 5 SDRs, 3 SEs, 2 Managers): $3.4M annually. Sales & Marketing expense as % of ARR: 34% (industry standard: 35-50% for growth stage).

Efficiency Metrics to Track

Revenue Per Rep

Target $1M ARR per AE at full productivity. Track monthly to identify underperformers early. If avg revenue/rep drops below $750K, diagnose: (1) Weak pipeline, (2) Low win rates, (3) Poor territory assignment, or (4) Inadequate onboarding/coaching.

Quota Attainment Distribution

Healthy teams see 60-70% of reps hit 100%+ quota. If <50% hit quota, quotas are likely too high or reps lack enablement. If >80% hit quota, quotas may be too low (leaving revenue on the table).

Magic Number

Magic Number = Net New ARR (this quarter) / Sales & Marketing Spend (last quarter). Target >0.75 (indicates $1 spent generates $0.75 ARR in one quarter). Below 0.5 signals inefficiency; above 1.0 suggests under-investment in growth.

Common Sizing Mistakes

1. Hiring Too Many Reps Too Fast

Doubling team size quarterly overwhelms management capacity. Managers can effectively coach 5-8 reps. Hiring 10 reps under 1 manager = poor onboarding, low productivity, high churn. Solution: Hire managers before AEs (1 manager per 6-8 reps max).

2. Underinvesting in SDRs

Hiring 10 AEs without enough SDRs leaves AEs prospecting (wasting expensive time). Each AE needs 2-3 qualified meetings per week (8-12/month). With 25% close rate, need 40-50 meetings/month per AE. Solution: Maintain 1:2 SDR:AE ratio minimum.

3. Ignoring Churn & Replacement

Annual sales rep churn: 20-30%. For a team of 10, expect to replace 2-3 reps per year. Account for ongoing hiring and ramp time (3.5 months = lost productivity). Solution: Always be recruiting, hire ahead of attrition.

Methodology

This benchmark data is based on anonymized sales team performance data from 939 B2B companies collected during Q1-Q3 2025. The analysis covers various industries including SaaS, Manufacturing, Consulting, and Professional Services, with company sizes ranging from 5 to 500+ employees. For detailed methodology, see ourmethodology page.

How to Use This Data

Use these benchmarks to right-size your sales team based on ARR targets and ACV. Start with the baseline (10 AEs for $10M at mid-ACV), then adjust for your deal size. Track revenue per rep and quota attainment to validate team efficiency. For AI-powered headcount planning and quota optimization, try Optifai's free plan.

Plan Your Sales Team Growth with AI

Get headcount recommendations, quota planning, and hiring timelines with Optifai's AI-powered analytics.