RevOps · Visual Summary

The ultimate RevOps KPI dashboard.

Twenty-four metrics across the revenue engine — what each one tracks, why it matters, and the benchmark to hold it against.
24 metrics7 categoriesmikejeffs.com

Core revenue

01—03

MRR / ARR

Track
Recurring revenue normalised monthly or annually.
Why
The foundation metric — growth trajectory and predictable revenue.
New · expansion · contraction · churn

Revenue growth rate

Track
Month-over-month and year-over-year growth.
Why
Shows momentum and anchors the forecast.
Target 15–30% annual

Revenue run rate

Track
Current monthly revenue extrapolated annually.
Why
Fast trajectory snapshot for planning.
Directional only

Pipeline & conversion

04—06

Pipeline velocity

Track
Time from lead generation to closed-won.
Why
Faster velocity means quicker revenue and better cash flow.
(Opps × ADS × win rate) ÷ cycle

Lead-to-customer rate

Track
Share of leads that become paying customers.
Why
The single cleanest read on funnel efficiency.
B2B benchmark 2–5%

Stage conversion rates

Track
Conversion between each funnel stage.
Why
Locates the bottleneck instead of guessing at it.
Lead → MQL → SQL → Opp → Won

Acquisition & retention

07—11

Customer acquisition cost

Track
Total cost to acquire one new customer.
Why
Unit economics start here.
(S&M spend) ÷ new customers

Customer lifetime value

Track
Total revenue expected across the relationship.
Why
Sets the ceiling on what acquisition can cost.
CLV:CAC ≥ 3:1

Net revenue retention

Track
Retention including expansion and contraction.
Why
Can you grow without new logos?
Best-in-class > 110%

Gross revenue retention

Track
Retention excluding expansion revenue.
Why
Pure signal on satisfaction and product-market fit.
Healthy > 90%

Customer churn rate

Track
Customers lost in the period.
Why
Churn quietly cancels out growth.
Monthly target < 5%

Sales performance

12—15

Win rate

Track
Qualified opportunities that close won.
Why
Sales effectiveness and competitive position.
B2B average 15–25%

Average deal size

Track
Mean value of closed-won deals.
Why
Bigger deals buy efficiency and margin.
Watch the trend, not the number

Sales cycle length

Track
Opportunity creation to close.
Why
Shorter cycles improve cash flow and capacity.
Cut 10–15% a year

Quota attainment

Track
Share of reps hitting target.
Why
Tells you whether the targets are real.
Healthy 60–80% of reps

Marketing performance

16—18

Marketing qualified leads

Track
Leads meeting the qualification bar.
Why
Top-of-funnel performance.
Report MQL→customer, not volume

Cost per lead

Track
Average cost to generate a qualified lead.
Why
Where the next pound should go.
Split by channel

Marketing attribution revenue

Track
Revenue attributed to marketing activity.
Why
Marketing's claim on the number.
First · last · multi-touch

Operational efficiency

19—21

Sales productivity

Track
Revenue per rep per period.
Why
Tells you whether hiring will scale.
Revenue ÷ reps

Lead response time

Track
Lead created to first sales contact.
Why
Speed moves conversion more than almost anything.
Hot leads < 5 minutes

Opportunity age

Track
Time opportunities sit in each stage.
Why
Surfaces stalled deals and broken process.
Flag over-duration stages

Financial health

22—24

Cash flow from operations

Track
Cash generated by the core business.
Why
True health, beyond accounting metrics.
Should track revenue growth

Gross margin

Track
Revenue minus COGS, as a percentage.
Why
Pricing power and operational efficiency.
SaaS target > 75%

Burn rate

Track
Monthly cash consumption.
Why
Runway and investment decisions rest on it.
Watch burn ÷ net new ARR

Make it a dashboard, not a data dump

Executive view · monthly

  • High-level revenue metrics only
  • Trend and forecast, not snapshots
  • Call out exceptions and insight
  • Hold it to 6–8 primary metrics

Operational view · weekly

  • Granular metrics with drill-down
  • Real-time or near-real-time data
  • Organised by function: sales, marketing, CS

Design principles

  • Hierarchy — most important, most prominent
  • Context — targets, benchmarks, history
  • Actionability — every metric drives a decision
  • Freshness — always show data recency

Pitfalls to avoid

  • Metric overload dilutes focus
  • Vanity metrics nobody acts on
  • Inconsistent definitions across teams
  • Numbers with no benchmark or trend

Build it in three phases

Months 1–2 · Foundation

  • Core revenue tracking (MRR/ARR)
  • Basic pipeline metrics
  • Data governance

Months 3–4 · Expansion

  • CAC, CLV, churn
  • Marketing attribution
  • Automated reporting

Months 5–6 · Optimisation

  • Predictive analytics
  • Cohort analysis
  • Advanced segmentation
The ultimate RevOps KPI dashboardmikejeffs.com