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Revenue Operations (RevOps) has emerged as a critical function that aligns sales, marketing, and customer success teams around shared revenue goals. A well-designed RevOps KPI dashboard provides the visibility and insights needed to optimise the entire revenue engine. Here’s your complete guide to building an effective RevOps dashboard.

If you’d like the visual summary then click the image below, alternatively scroll down to keep reading.

Core Revenue Metrics

1. Monthly Recurring Revenue (MRR) / Annual Recurring Revenue (ARR)

What to track: Total recurring revenue normalised to monthly or annual periods

Why it matters: The foundation metric that shows business growth trajectory and predictable revenue streams

Key segments: New MRR, expansion MRR, contraction MRR, churned MRR

2. Revenue Growth Rate

What to track: Month-over-month and year-over-year revenue growth percentages

Why it matters: Indicates business momentum and helps forecast future performance

Target range: 15-30% annual growth for mature SaaS companies

3. Revenue Run Rate

What to track: Current monthly revenue extrapolated annually

Why it matters: Provides quick snapshot of business trajectory and helps with planning

Pipeline & Conversion Metrics

4. Pipeline Velocity

What to track: Time from lead generation to closed-won deal

Why it matters: Faster velocity means quicker revenue realisation and better cash flow

Formula: (Number of opportunities × Average deal size × Win rate) ÷ Average sales cycle length

5. Lead-to-Customer Conversion Rate

What to track: Percentage of leads that ultimately become paying customers

Why it matters: Measures overall funnel efficiency and marketing effectiveness

Industry benchmark: 2-5% for most B2B companies

6. Stage-by-Stage Conversion Rates

What to track: Conversion rates between each stage of your sales funnel

Why it matters: Identifies bottlenecks and optimisation opportunities

Key stages: Lead → MQL → SQL → Opportunity → Closed-Won

Customer Acquisition & Retention

7. Customer Acquisition Cost (CAC)

What to track: Total cost to acquire a new customer

Why it matters: Essential for understanding unit economics and profitability

Formula: (Sales + Marketing expenses) ÷ Number of new customers acquired

8. Customer Lifetime Value (CLV)

What to track: Total revenue expected from a customer over their entire relationship

Why it matters: Determines how much you can spend on acquisition while remaining profitable

Target ratio: CLV:CAC should be at least 3:1

9. Net Revenue Retention (NRR)

What to track: Revenue retention including expansions and contractions from existing customers

Why it matters: Shows ability to grow revenue from existing customer base

Best-in-class: >110% for SaaS companies

10. Gross Revenue Retention (GRR)

What to track: Revenue retention excluding any expansion revenue

Why it matters: Pure measure of customer satisfaction and product-market fit

Target: >90% for healthy SaaS businesses

11. Customer Churn Rate

What to track: Percentage of customers lost in a given period

Why it matters: High churn undermines growth and indicates product or service issues

Monthly target: <5% for most subscription businesses

Sales Performance Metrics

12. Win Rate

What to track: Percentage of qualified opportunities that result in closed-won deals

Why it matters: Indicates sales team effectiveness and competitive positioning

Industry average: 15-25% for most B2B sales processes

13. Average Deal Size

What to track: Mean value of closed-won opportunities

Why it matters: Larger deals improve efficiency and profitability

Trend to watch: Consistent growth or unexpected declines

14. Sales Cycle Length

What to track: Average time from opportunity creation to close

Why it matters: Shorter cycles improve cash flow and team productivity

Optimisation goal: Reduce by 10-15% annually through process improvements

15. Quota Attainment

What to track: Percentage of sales reps hitting their targets

Why it matters: Indicates whether goals are realistic and achievable

Healthy range: 60-80% of reps should hit quota

Marketing Performance Metrics

16. Marketing Qualified Leads (MQLs)

What to track: Number of leads meeting qualification criteria

Why it matters: Measures top-of-funnel performance and marketing effectiveness

Quality focus: Track MQL-to-customer conversion rate, not just volume

17. Cost Per Lead (CPL)

What to track: Average cost to generate a qualified lead

Why it matters: Helps optimise marketing spend across channels

By channel: Track separately for paid ads, content, events, etc.

18. Marketing Attribution Revenue

What to track: Revenue attributed to marketing activities

Why it matters: Demonstrates marketing’s impact on revenue generation

Models: First-touch, last-touch, multi-touch attribution

Operational Efficiency Metrics

19. Sales Productivity

What to track: Revenue generated per sales rep per period

Why it matters: Measures team efficiency and scaling potential

Formula: Total revenue ÷ Number of sales reps

20. Lead Response Time

What to track: Time between lead generation and first sales contact

Why it matters: Faster response dramatically improves conversion rates

Best practice: <5 minutes for hot leads

21. Opportunity Age

What to track: How long opportunities remain in each pipeline stage

Why it matters: Identifies stalled deals and process inefficiencies

Action trigger: Flag opportunities exceeding typical stage duration

Financial Health Metrics

22. Cash Flow from Operations

What to track: Cash generated from core business operations

Why it matters: Shows true business health beyond accounting metrics

Trend: Should grow consistently with revenue

23. Gross Margin

What to track: Revenue minus cost of goods sold as percentage

Why it matters: Indicates pricing power and operational efficiency

SaaS target: >75% for software companies

24. Burn Rate (for growing companies)

What to track: Monthly cash consumption

Why it matters: Critical for runway planning and investment decisions

Monitor: Burn multiple (burn rate ÷ net new ARR)

Dashboard Design Best Practices

Executive Dashboard (Monthly Review)

  • Focus on high-level revenue metrics
  • Include trend analysis and forecasting
  • Highlight exceptions and key insights
  • Keep to 6-8 primary metrics

Operational Dashboard (Weekly/Daily)

  • Include more granular metrics
  • Enable drill-down capabilities
  • Show real-time or near-real-time data
  • Organise by function (sales, marketing, CS)

Key Design Principles

  1. Hierarchy: Most important metrics prominently displayed
  2. Context: Include targets, benchmarks, and historical trends
  3. Actionability: Each metric should drive specific actions
  4. Freshness: Clearly indicate data recency
  5. Accessibility: Ensure stakeholders can easily interpret data

Implementation Recommendations

Phase 1: Foundation (Months 1-2)

  • Set up core revenue tracking (MRR/ARR)
  • Implement basic pipeline metrics
  • Establish data governance processes

Phase 2: Expansion (Months 3-4)

  • Add customer metrics (CAC, CLV, churn)
  • Implement marketing attribution
  • Create automated reporting

Phase 3: Optimisation (Months 5-6)

  • Add predictive analytics
  • Implement cohort analysis
  • Create advanced segmentation

Technology Stack Considerations

  • CRM: Salesforce, HubSpot, or Pipedrive for sales data
  • Marketing: Marketo, Pardot, or HubSpot for marketing metrics
  • Analytics: Tableau, Looker, or Power BI for visualisation
  • Integration: Zapier or custom APIs for data consolidation

Common Pitfalls to Avoid

  1. Metric Overload: Too many KPIs dilute focus
  2. Vanity Metrics: Tracking metrics that don’t drive action
  3. Data Silos: Inconsistent definitions across teams
  4. Static Reporting: Failing to evolve metrics as business grows
  5. Missing Context: Showing numbers without benchmarks or trends

Conclusion

A well-designed RevOps KPI dashboard transforms scattered data into actionable insights that drive revenue growth. Start with the core metrics that matter most to your business stage and gradually expand your tracking as your operations mature. Remember, the goal isn’t to track everything—it’s to track what matters and use those insights to optimise your revenue engine systematically.

The key to success lies not just in selecting the right metrics, but in creating a culture where data drives decisions and continuous improvement becomes the norm across your entire revenue organisation.

Mike Jeffs

Author Mike Jeffs

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