sales-metrics
Sales metrics frameworks with leading/lagging indicators, benchmarks, and capacity models.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Voir la source ↗GuidesInstructions
Sales Metrics
Frameworks for measuring and forecasting sales performance.
Leading vs Lagging Indicators
Leading Indicators (Predictive)
| Metric | Definition | Target Setting |
|---|---|---|
| MQLs | Marketing qualified leads | Based on conversion rates |
| SQLs | Sales qualified leads | MQL × MQL→SQL rate |
| Opportunities | Discovery completed | SQL × qualification rate |
| Pipeline | Weighted opportunity value | 3-4x quota coverage |
| Meetings Booked | First meetings scheduled | Based on rep capacity |
| Proposals Sent | Active evaluations | Based on demo→proposal rate |
Lagging Indicators (Results)
| Metric | Definition | B2B SaaS Benchmark |
|---|---|---|
| Win Rate | Won ÷ (Won + Lost) | 20-30% |
| Sales Cycle | Qualified to Close | 30-90 days (SMB), 90-180 days (Enterprise) |
| ACV | Average contract value | Varies |
| CAC | Total S&M ÷ New customers | < 1/3 LTV |
| LTV:CAC | Customer lifetime value ÷ CAC | > 3:1 |
| CAC Payback | Months to recover CAC | < 12 months |
Conversion Rate Benchmarks
| Stage | Benchmark Range |
|---|---|
| Visitor → Lead | 1-5% |
| Lead → MQL | 10-30% |
| MQL → SQL | 15-30% |
| SQL → Opportunity | 40-60% |
| Opportunity → Win | 20-30% |
Overall Funnel:
- Top of funnel to customer: 0.5-2%
- Outbound response rate: 1-5%
- Cold email reply rate: 3-10%
- Cold call connection rate: 10-20%
Sales Capacity Model
Target Revenue: $X
÷ ACV: $Y
= Deals Needed: N
Deals Needed ÷ Win Rate (25%) = Opportunities Needed
Opportunities ÷ SQL→Opp Rate (50%) = SQLs Needed
SQLs ÷ MQL→SQL Rate (20%) = MQLs Needed
For Rep Planning:
Quota/Rep = $X (typically 4-5x OTE)
Target Revenue ÷ Quota = Reps Needed
Ramp time = 3-6 months to productivity
Activity Metrics (by Role)
SDR Metrics
| Metric | Daily | Weekly | Monthly |
|---|---|---|---|
| Emails sent | 50-100 | 250-500 | 1,000-2,000 |
| Calls made | 40-80 | 200-400 | 800-1,600 |
| LinkedIn touches | 20-40 | 100-200 | 400-800 |
| Meetings booked | 0.5-1 | 3-5 | 15-20 |
AE Metrics
| Metric | Weekly | Monthly | Quarterly |
|---|---|---|---|
| Discovery calls | 8-12 | 35-50 | 100-150 |
| Demos | 5-8 | 20-30 | 60-90 |
| Proposals | 3-5 | 12-20 | 35-60 |
| Closes | 1-2 | 4-8 | 12-24 |
Pipeline Health Metrics
| Metric | Formula | Target |
|---|---|---|
| Coverage | Pipeline ÷ Quota | 3-4x |
| Velocity | (Opps × Win Rate × ACV) ÷ Cycle | Trending up |
| Age | Days in stage | Below threshold |
| Progression | Opps moving forward | 20%+ weekly |
Pipeline Hygiene Rules:
- Close dead opps within 2x average cycle
- Update stage within 48 hours of change
- No opportunities without next step scheduled
Forecasting Framework
| Category | Definition | Weighting |
|---|---|---|
| Closed | Signed contract | 100% |
| Commit | Verbal yes, paperwork in flight | 90% |
| Best Case | Strong signal, proposal accepted | 50% |
| Pipeline | Active, qualified opportunity | 25% |
| Upside | Early stage, unqualified | 10% |
Forecast Formula:
Forecast = Σ(Opportunity Value × Stage Probability)
Revenue Metrics
| Metric | Formula | Why It Matters |
|---|---|---|
| MRR | Monthly recurring revenue | Base health |
| ARR | MRR × 12 | Annual run rate |
| Net New ARR | New + Expansion - Churn | True growth |
| NRR | (Start + Expansion - Churn) ÷ Start | Customer health |
| Gross Margin | (Revenue - COGS) ÷ Revenue | Unit economics |
Sales Efficiency Metrics
| Metric | Formula | Good |
|---|---|---|
| Magic Number | Net New ARR ÷ Prior S&M Spend | > 0.75 |
| CAC Payback | CAC ÷ (ACV × Gross Margin) | < 12 mo |
| Revenue/Rep | ARR ÷ Quota-carrying reps | > $500K |
| Pipeline/Rep | Pipeline ÷ Reps | > 3x quota |
Exemples
Consultez les exemples du dépôt source.
Voir la source ↗Historique source
- Date d’indexation
- 2026-01-20
- Mise à jour de l’index
- 2026-02-04
- Branch
- main
Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.
GitHub ↗chat Comments (0)
Sign in to join the discussion and leave a comment.
No comments yet. Be the first to share your thoughts!