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majesticlabs-dev

sales-metrics

by majesticlabs-dev

18🍴 1📅 Jan 24, 2026

SKILL.md


name: sales-metrics description: Sales metrics frameworks with leading/lagging indicators, benchmarks, and capacity models.

Sales Metrics

Frameworks for measuring and forecasting sales performance.

Leading vs Lagging Indicators

Leading Indicators (Predictive)

MetricDefinitionTarget Setting
MQLsMarketing qualified leadsBased on conversion rates
SQLsSales qualified leadsMQL × MQL→SQL rate
OpportunitiesDiscovery completedSQL × qualification rate
PipelineWeighted opportunity value3-4x quota coverage
Meetings BookedFirst meetings scheduledBased on rep capacity
Proposals SentActive evaluationsBased on demo→proposal rate

Lagging Indicators (Results)

MetricDefinitionB2B SaaS Benchmark
Win RateWon ÷ (Won + Lost)20-30%
Sales CycleQualified to Close30-90 days (SMB), 90-180 days (Enterprise)
ACVAverage contract valueVaries
CACTotal S&M ÷ New customers< 1/3 LTV
LTV:CACCustomer lifetime value ÷ CAC> 3:1
CAC PaybackMonths to recover CAC< 12 months

Conversion Rate Benchmarks

StageBenchmark Range
Visitor → Lead1-5%
Lead → MQL10-30%
MQL → SQL15-30%
SQL → Opportunity40-60%
Opportunity → Win20-30%

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

MetricDailyWeeklyMonthly
Emails sent50-100250-5001,000-2,000
Calls made40-80200-400800-1,600
LinkedIn touches20-40100-200400-800
Meetings booked0.5-13-515-20

AE Metrics

MetricWeeklyMonthlyQuarterly
Discovery calls8-1235-50100-150
Demos5-820-3060-90
Proposals3-512-2035-60
Closes1-24-812-24

Pipeline Health Metrics

MetricFormulaTarget
CoveragePipeline ÷ Quota3-4x
Velocity(Opps × Win Rate × ACV) ÷ CycleTrending up
AgeDays in stageBelow threshold
ProgressionOpps moving forward20%+ 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

CategoryDefinitionWeighting
ClosedSigned contract100%
CommitVerbal yes, paperwork in flight90%
Best CaseStrong signal, proposal accepted50%
PipelineActive, qualified opportunity25%
UpsideEarly stage, unqualified10%

Forecast Formula:

Forecast = Σ(Opportunity Value × Stage Probability)

Revenue Metrics

MetricFormulaWhy It Matters
MRRMonthly recurring revenueBase health
ARRMRR × 12Annual run rate
Net New ARRNew + Expansion - ChurnTrue growth
NRR(Start + Expansion - Churn) ÷ StartCustomer health
Gross Margin(Revenue - COGS) ÷ RevenueUnit economics

Sales Efficiency Metrics

MetricFormulaGood
Magic NumberNet New ARR ÷ Prior S&M Spend> 0.75
CAC PaybackCAC ÷ (ACV × Gross Margin)< 12 mo
Revenue/RepARR ÷ Quota-carrying reps> $500K
Pipeline/RepPipeline ÷ Reps> 3x quota

Score

Total Score

60/100

Based on repository quality metrics

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0/5
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オープンIssueが50未満

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