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sales-metrics

sales-metrics

github.com/majesticlabs-devMarketing & growth5038 installsUpdated 7w ago
Repository

About sales-metrics

A framework for sales teams to measure performance and build forecasts, covering leading and lagging indicators, conversion benchmarks, capacity planning, and pipeline health. It also defines forecast categories and revenue and sales-efficiency metrics for setting targets and reviewing results.

Key features

  1. 01Leading and lagging sales indicators
  2. 02Stage conversion benchmarks
  3. 03Sales capacity model
  4. 04Pipeline health and hygiene rules
  5. 05Forecast categories and weighting formula
  6. 06Revenue and sales efficiency metrics

Use cases

  1. 01Set sales activity and revenue targets
  2. 02Estimate required leads and opportunities from conversion rates
  3. 03Review pipeline coverage and progression
  4. 04Measure acquisition cost and revenue retention

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill sales-metrics

After installing, type/sales-metricsin Claude Code to confirm it loaded.

Details

From the project README

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 x MQL-to-SQL rate
OpportunitiesDiscovery completedSQL × qualification rate
PipelineWeighted opportunity value3-4x quota coverage
Meetings BookedFirst meetings scheduledBased on rep capacity
Proposals SentActive evaluationsBased on demo-to-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 to Lead1-5%
Lead to MQL10-30%
MQL to SQL15-30%
SQL to Opportunity40-60%
Opportunity to 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

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