Sales Dashboard Examples: 10 Metrics Every CRO Should Track in 2024
Proven sales dashboard templates for CROs and revenue leaders. Learn which metrics to track, how to visualize them, and real examples from high-performing sales teams.
Introduction
As CRO, your board asks the same question every quarter: "How's the pipeline looking?"
A great sales dashboard answers that question in 3 seconds—and gives you the insights to hit your number. A bad one wastes hours with vanity metrics that don't drive decisions.
After building sales dashboards for 5 different companies (from $2M to $50M ARR), I've learned what metrics actually matter. Here are the 10 metrics every CRO dashboard should track.
Why CROs Need Real-Time Sales Dashboards
The Spreadsheet Problem
Common scenario:
- Board meeting in 2 days
- You spend 6 hours pulling data from Salesforce
- Creating charts in Excel
- By the time you present, data is already outdated
- Board asks a follow-up question you can't answer without another data pull
The Dashboard Solution
With a real-time sales dashboard:
- ✅ Data updates automatically from Salesforce/HubSpot
- ✅ Board can check metrics anytime (not just meetings)
- ✅ You spot pipeline issues 3 weeks earlier
- ✅ Reps see their performance in real-time
- ✅ CFO gets revenue forecast without asking
Result: Less time in Excel, more time coaching reps and closing deals.
The 10 Essential CRO Metrics
1. Pipeline Coverage Ratio
What it is: Pipeline value ÷ Quota for the period
Why it matters: Tells you if you have enough pipeline to hit your number.
Target benchmark:
- Early-stage sales: 3-4x coverage
- Enterprise sales: 5-6x coverage
Example visualization:
Q4 2024 Pipeline Coverage: 3.2x
Pipeline: $4.8M
Quota: $1.5M
━━━━━━━━━━━━━ 3.2x ━━━━━━
⚠️ Below target (4x)
How to use it:
- Below 3x? Increase top-of-funnel activities
- Above 5x? Your qualification might be too loose
- Track trend: Is coverage growing or shrinking?
Red flags:
- Coverage dropping month-over-month
- Coverage strong but conversion rates low (quality issue)
- Heavy dependence on deals in late stages
2. Win Rate by Stage
What it is: % of deals advancing from each pipeline stage
Why it matters: Shows where deals get stuck or fall out.
Example dashboard:
Win Rates by Stage (Q4 2024)
Discovery → Qualification: 78% ✅
Qualification → Proposal: 65% ✅
Proposal → Negotiation: 45% ⚠️
Negotiation → Closed Won: 72% ✅
Overall Win Rate: 18%
How to use it:
- Identify bottleneck stages (above: Proposal → Negotiation)
- Coach reps on weak stages
- Update sales process for stages with <50% advancement
What great CROs do:
- Track win rate by rep (find who's best at each stage)
- Compare win rate by deal size
- Monitor trend: Is win rate improving or declining?
3. Sales Cycle Length
What it is: Average days from first contact to closed-won
Why it matters: Longer cycles = longer cash conversion, harder forecasting.
Example visualization:
Average Sales Cycle: 67 days
By Segment:
SMB: 23 days ✅
Mid-Market: 54 days ✅
Enterprise: 127 days ⚠️
Trend: ↗️ +12 days vs. last quarter
How to use it:
- Set expectations with board on revenue timing
- Identify deals stalling longer than average
- Find reps with faster cycles (what are they doing differently?)
Red flags:
- Cycle length increasing quarter-over-quarter
- Huge variance between reps (training opportunity)
- Deals sitting in same stage >30 days
4. Monthly Recurring Revenue (MRR) & Growth Rate
What it is: Predictable monthly revenue from subscriptions
Why it matters: The metric that drives your company valuation.
Example dashboard:
MRR: $2.4M
MRR Growth Rate: +12% MoM
Breakdown:
New MRR: +$180K (from new customers)
Expansion MRR: +$95K (from upsells)
Churn MRR: -$45K (lost customers)
Contraction: -$18K (downgrades)
Net New MRR: +$212K
How to use it:
- Share with board monthly (they care more about this than anything)
- Track components: Is growth from new business or expansion?
- Set targets by segment
What great CROs do:
- Forecast MRR 3-6 months out
- Track leading indicators (pipeline → MRR in 60-90 days)
- Identify expansion MRR opportunities
5. Customer Acquisition Cost (CAC) Payback Period
What it is: Months to recover the cost of acquiring a customer
Why it matters: Tells you if your unit economics are healthy.
Formula:
CAC Payback = (Sales & Marketing Costs / New Customers) ÷ (Avg MRR per Customer × Gross Margin %)
Example:
CAC Payback Period: 14 months
Sales & Marketing Cost: $420K
New Customers: 35
Avg MRR per Customer: $1,800
Gross Margin: 78%
Target: <12 months ⚠️
Benchmarks:
- World-class: <6 months
- Good: 6-12 months
- Acceptable: 12-18 months
- Problem: >18 months
How to improve it:
- Increase average deal size
- Improve win rate (lower acquisition cost)
- Reduce sales cycle (faster payback)
- Decrease CAC (more efficient marketing/sales)
6. Pipeline Velocity
What it is: How much revenue your pipeline generates per day
Why it matters: Combines all pipeline metrics into one number.
Formula:
Pipeline Velocity = (# of Opportunities × Average Deal Size × Win Rate) ÷ Sales Cycle Length
Example:
Pipeline Velocity: $28,500/day
Opportunities: 245
Avg Deal Size: $42K
Win Rate: 18%
Sales Cycle: 67 days
Monthly Revenue Projection: $855K
How to use it:
- Track trend: Is velocity increasing or decreasing?
- Test impact of changes (new sales process, pricing, etc.)
- Forecast revenue more accurately
What moves the needle:
- Add more qualified opps (+20% opps = +20% velocity)
- Increase deal size (+10% deal size = +10% velocity)
- Improve win rate (+5% win rate = +5% velocity)
- Shorten cycle (-10% cycle = +10% velocity)
7. Rep Performance Leaderboard
What it is: Individual rep metrics vs. quota
Why it matters: Identifies top performers and those needing coaching.
Example dashboard:
Q4 2024 Rep Performance (Target: $250K/quarter)
Top Performers:
🥇 Sarah Chen $412K (165% to quota) ✅
🥈 Marcus Kim $378K (151% to quota) ✅
🥉 Alex Rivera $325K (130% to quota) ✅
Needs Coaching:
Jamie Foster $187K (75% to quota) ⚠️
Taylor Brooks $145K (58% to quota) 🚨
Jordan Lee $89K (36% to quota) 🚨
Metrics to track per rep:
- Revenue vs. quota
-
of deals closed
- Average deal size
- Win rate
- Sales cycle length
- Activity metrics (calls, meetings, demos)
How to use it:
- Weekly 1:1s with underperformers
- Shadow top performers (what are they doing differently?)
- Adjust territories if needed
- Make data-driven hiring/firing decisions
8. Forecast Accuracy
What it is: How close your forecast was to actual results
Why it matters: Your credibility with the board depends on it.
Example:
Forecast Accuracy: 92%
Q3 2024:
Forecasted: $1.45M
Actual: $1.33M
Variance: -8.3% ⚠️
Historical Accuracy:
Q1: 96% ✅
Q2: 94% ✅
Q3: 92% ⚠️
Q4: TBD
Target: ±10% variance or better
How to improve forecast accuracy:
- Track by rep (who sandbags? who's overoptimistic?)
- Use data, not gut feel (pipeline coverage, historical win rates)
- Multi-scenario forecasting (best case, likely, worst case)
- Review weekly, update as deals progress
Pro tip: Under-promise, over-deliver. Board loves positive surprises, hates negative ones.
9. Churn Rate & Revenue Retention
What it is:
- Logo Churn: % of customers lost
- Revenue Retention: % of revenue retained from existing customers
Why it matters: Acquiring customers is expensive. Keeping them is cheaper and more valuable.
Example dashboard:
Logo Churn Rate: 4.2% monthly
Revenue Retention: 108% (net)
Breakdown:
Gross Retention: 95% (lost 5% to churn)
Expansion: +13% (from upsells/cross-sells)
Net Retention: 108% ✅
Industry Benchmark (SaaS): 100-110%
Benchmarks:
- Logo churn: <5% monthly for SMB, <2% for enterprise
- Net revenue retention: >100% is excellent (expansion > churn)
How to use it:
- High churn? Customer success problem (or wrong customers)
- Low expansion? Upsell motion missing
- Share with board monthly
What great CROs do:
- Track churn reasons (pricing, product, service?)
- Identify expansion opportunities proactively
- Align sales and customer success on retention
10. Revenue by Source/Segment
What it is: Where your revenue comes from
Why it matters: Tells you where to invest and where to cut.
Example:
Q4 Revenue by Segment:
Enterprise (>$1M ARR): $1.2M (48%) ✅
Mid-Market ($100K-1M): $850K (34%) ✅
SMB (<$100K): $450K (18%) ⚠️
Revenue by Source:
New Business: $1.4M (56%)
Expansion/Upsell: $750K (30%)
Renewals: $350K (14%)
How to use it:
- Double down on best-performing segments
- Cut underperforming segments (if CAC doesn't work)
- Set quotas by segment
- Adjust team size by segment revenue
Questions to ask:
- Which segment has best CAC payback?
- Which has highest retention?
- Where should you hire next rep?
CRO Dashboard Template (Complete Example)
Here's a real dashboard I use for board meetings:
Executive Summary (Top of Dashboard)
Q4 2024 Performance Summary
📊 Revenue: $2.1M (105% of $2M quota) ✅
📈 MRR Growth: +12% MoM ✅
🎯 Pipeline: $8.4M (4.2x coverage) ✅
⚠️ Win Rate: 16% (-2% vs. Q3) ⚠️
⏱️ Sales Cycle: 72 days (+9 vs. Q3) ⚠️
💰 CAC Payback: 15 months ⚠️
Pipeline Health
- Pipeline by stage (funnel chart)
- Week-over-week pipeline change
- Top 10 deals at risk
- Pipeline coverage trend (last 6 months)
Revenue Performance
- Revenue vs. quota (monthly)
- Revenue by segment
- MRR growth chart
- Churn rate trend
Team Performance
- Rep leaderboard
- Reps at risk of missing quota
- Hiring plan vs. actual headcount
Leading Indicators
- Demo completion rate
- Qualified opps created this month
- Average deal size trend
- Win rate by competitor
How to Build Your CRO Dashboard
Step 1: Connect Your Data Sources
Essential integrations:
- Salesforce or HubSpot (pipeline data)
- Stripe or billing system (revenue data)
- Marketing automation (lead source data)
- Customer success platform (churn data)
Why real-time matters: Static Excel dashboards are outdated the moment you create them. Real-time dashboards update automatically.
Step 2: Start Simple, Add Over Time
Month 1: Core metrics only
- Revenue vs. quota
- Pipeline coverage
- Win rate
Month 2: Add team metrics
- Rep leaderboard
- Sales cycle length
Month 3: Add forecasting
- Pipeline velocity
- Forecast accuracy
Don't try to build everything at once. Start with 3-5 metrics, add more as needed.
Step 3: Share Widely
Who should see your dashboard:
- ✅ Board (monthly update)
- ✅ CEO (real-time access)
- ✅ CFO (for financial planning)
- ✅ Your sales team (transparency drives performance)
- ✅ Marketing (close the loop on lead quality)
Customize views:
- Board: Executive summary only
- Reps: Individual performance + team leaderboard
- CEO: Everything
Step 4: Review Weekly, Refine Monthly
Weekly review:
- Which metrics moved?
- Any red flags?
- What needs attention this week?
Monthly review:
- Are we tracking the right metrics?
- Any metrics we never look at? (Remove them)
- What questions came up this month? (Add metrics to answer them)
Common CRO Dashboard Mistakes
Mistake #1: Too Many Metrics
Problem: 47 metrics on one dashboard
Result: Analysis paralysis. Can't see the forest for the trees.
Solution: Start with 10 metrics max. Add only if you'll act on the data.
Mistake #2: Vanity Metrics
Problem: Tracking "Total Opportunities Created" without context
Result: Feels good but doesn't drive decisions.
Solution: Focus on metrics that inform action:
- Not: "Total opps created"
- Yes: "Qualified opps created per rep per month"
Mistake #3: No Comparisons
Problem: Showing metrics without context
Example:
❌ Win Rate: 18%
(Is that good? Bad? Improving?)
✅ Win Rate: 18% (-2% vs. Q3, Industry avg: 22%)
Solution: Always show:
- Target/benchmark
- Trend (vs. last period)
- Industry comparison (if available)
Mistake #4: Static PDFs
Problem: Creating dashboard in Excel, exporting to PDF for board
Result:
- Data outdated immediately
- Board can't drill into details
- You spend hours updating manually
Solution: Use real-time dashboard tools where board can access live data.
Mistake #5: Build It and Forget It
Problem: Set up dashboard, never review or update
Result: Metrics drift from reality, dashboard ignored
Solution:
- Review weekly with sales leadership
- Refine monthly (add/remove metrics)
- Get board feedback (what questions do they ask that dashboard doesn't answer?)
CRO Dashboard Tools Comparison
Option 1: AppDeck Executive Dashboard
Best for: CROs who want real-time dashboards without IT setup
Pricing: $199/month
Pros:
- Connects directly to Salesforce, HubSpot, Stripe
- Pre-built CRO dashboard templates
- Real-time updates (no manual data pulls)
- Share secure link with board
- 30-minute setup
Cons:
- Newer tool (less customization than building from scratch)
Try it: AppDeck Executive Dashboard
Option 2: Build in Salesforce Dashboards
Best for: Teams already deep in Salesforce
Pricing: Included with Salesforce
Pros:
- Already own the tool
- Direct connection to pipeline data
- Customizable
Cons:
- No cross-platform data (can't pull from Stripe, marketing tools easily)
- Salesforce dashboards are ugly
- Limited sharing options for board
Option 3: Custom BI Tools (Tableau, Looker, etc.)
Best for: Large enterprises with data teams
Pricing: $70-200/user/month + implementation
Pros:
- Unlimited customization
- Enterprise-grade features
- Beautiful visualizations
Cons:
- Requires data team to build and maintain
- Expensive
- Overkill for most growth-stage companies
My Recommendation
For most CROs at growth-stage companies ($5M-50M ARR):
Use AppDeck Executive Dashboard
Why:
- Get up and running in 30 minutes (vs. weeks)
- Real-time data from Salesforce + Stripe (no manual updates)
- Share live link with board (vs. static PDFs)
- $199/mo (vs. $10K+ for BI tools)
I personally use this for my board dashboard and team performance tracking.
Conclusion
A great sales dashboard transforms how you run revenue operations.
Key takeaways:
- Track 10 core metrics (not 50 vanity metrics)
- Use real-time data (not static Excel)
- Share widely (board, CEO, team)
- Review weekly, refine monthly
- Focus on metrics that drive decisions
Next steps:
- Pick your top 5 metrics to start tracking
- Set up real-time dashboard (try AppDeck)
- Share with your team this week
- Review weekly in 1:1s and team meetings
- Add more metrics monthly as needed
Your board wants visibility. Your team wants transparency. Your dashboard should provide both.
About the Author: Marcus Johnson is CRO at RevGrowth, where he built a sales team from 3 to 35 reps and grew ARR from $2M to $28M. He advises B2B SaaS companies on revenue operations and sales leadership.