Operations/Service/Support
SaaS Net Revenue Retention
L0 · Net Revenue Retention (NRR) · 10 metrics
Understand how expansion, contraction and churn combine into NRR — and which usage signals predict them.
Strategic objective
Revenue Growth KPIs
Pre-built KPI trees for Revenue Growth. Each tree starts at a North Star metric and breaks down into the drivers and leading indicators your teams can act on.
KPI trees
Sales/Marketing
Sales Pipeline Velocity
L0 · Pipeline Velocity · 10 metrics
See how opportunities, deal size, win rate and cycle length combine into revenue velocity.
Sales/Marketing
Marketing Qualified Pipeline
L0 · Marketing Qualified Pipeline Value · 14 metrics
Trace the pipeline value marketing generates from spend, campaigns and reach down to lead flow and acceptance by sales.
Finance
EBITDA Margin Driver Tree
L0 · EBITDA Margin · 8 metrics
Trace EBITDA margin back to gross margin, operating expense discipline and working drivers.
Finance
Mining EBITDA
L0 · Mine-Site EBITDA · 14 metrics
Drive mine-site EBITDA from ore mined, grade and recovery through to unit cash costs and fleet availability.
Operations/Service/Support
Improve NPS / CSAT
L0 · Net Promoter Score (NPS) · 9 metrics
Lift Net Promoter Score by fixing the moments that create detractors — from onboarding to support resolution.
Key Revenue Growth metrics
| Metric | Formula | Type |
|---|---|---|
| Net Revenue Retention (NRR) | (Start MRR + Expansion − Contraction − Churn) ÷ Start MRR | Lagging |
| Gross Revenue Churn | Churned MRR ÷ Start MRR | Lagging |
| Expansion MRR | Σ upgrade + add-on MRR | Lagging |
| Pipeline Velocity | (# Opps × Avg Deal Size × Win Rate) ÷ Sales Cycle Length | Lagging |
| Qualified Opportunities | # SQLs created | Leading |
| Win Rate | Won ÷ (Won + Lost) | Lagging |
| Average Deal Size | Σ Won ACV ÷ # Won | Lagging |
| Sales Cycle Length | Avg(close date − create date) | Lagging |
| Marketing Qualified Pipeline Value | Accepted MQLs × MQL → SQL Rate × Avg Deal Size | Lagging |
| Qualified Lead Flow | Leads Generated × Lead → MQL Rate × Acceptance Rate | Lagging |
| Campaign Reach | Reach = unique people exposed; Impressions = total exposures | Leading |
| Cost Efficiency | Marketing Qualified Pipeline ÷ Marketing Spend | Lagging |
| EBITDA Margin | EBITDA ÷ Revenue | Lagging |
| Gross Margin | (Revenue − COGS) ÷ Revenue | Lagging |
| OpEx as % of Revenue | Operating Expenses ÷ Revenue | Lagging |
| Mine-Site EBITDA | Revenue − Cash Operating Costs − Royalties | Lagging |
| Payable Metal Revenue | Payable Metal Produced × Realized Price | Lagging |
| All-In Sustaining Cost (AISC) per Unit | (Cash Costs + Sustaining Capex + G&A) ÷ Units Sold | Lagging |
| Net Promoter Score (NPS) | % Promoters (9–10) − % Detractors (0–6) | Lagging |
| CSAT | Satisfied responses (4–5) ÷ Total responses | Lagging |
| Onboarding Success Rate | Customers at First Value by Day 30 ÷ New Customers | Leading |
| Detractor Follow-up Rate | Detractors Contacted within 48h ÷ Total Detractors | Leading |
From library to execution
A KPI tree on paper is a plan. In KPI Fire it's a system.
Import any tree, assign metric owners, connect data, and launch improvement projects the moment a leading indicator drifts.
- Live scorecards & catchball
- Strategy deployment (Hoshin)
- Kaizen & project tracking
- Automated red/green alerts
- See KPI Fire in action