REVOPS INTELLIGENCE CENTER

36 Foundational Reports. One Source of Truth.

Track every metric that matters—from pipeline to retention. See how world-class revenue teams measure ROI.

Sales Dashboard

15 reports covering pipeline, performance, and revenue health

Total Leads & Pipeline Funnel

MQL
2,847
SAL
2,135
SQL
1,424
Opportunity
847
Closed Won
312

Shows lead volume across each stage. Track funnel health and identify drop-off points.

Conversion Rate Between Stages

Stage Transition Count Conversion %
MQL → SAL 2,135 75.0%
SAL → SQL 1,424 66.7%
SQL → Opportunity 847 59.5%
Opportunity → Closed Won 312 36.8%
Overall (MQL → Won) 312 11.0%

Key to track sales process efficiency. Low conversion rates signal process bottlenecks.

Average Lead Response Time

12.4 minutes
↓ 18.2% faster than last month

Time from lead creation to first sales touch. Fast response increases conversion by 400%.

Lead Aging by Stage

MQL Stage
3 days
SAL Stage
6 days
SQL Stage
12 days
Opportunity
25 days
Negotiation
18 days

Average days leads spend in each stage. Long aging times indicate stalled pipeline.

MQL, SAL, SQL by Lead Source

MQL
SAL
SQL
847
624
412
Website Form
623
478
298
Google Ads
485
367
234
LinkedIn
394
289
187
Events
312
241
168
Referral
186
136
89
Marketplace

Which channels drive qualified leads. Use to optimize marketing spend allocation.

Pipeline by Acquisition Channel

Website Form
847 leads
Google Ads
623 leads
LinkedIn Ads
485 leads
Events/Webinars
394 leads
Referral
312 leads
Marketplace
186 leads

Shows which channels generate highest-value opportunities. Focus on winners.

Leads by Region

1,424
North America
50%
912
EMEA
32%
511
APAC
18%

Geographic distribution of pipeline. Identify growth markets and regional trends.

Pipeline by Product Line

AI Sales Agent
1,247 opps
Support Automation
894 opps
Analytics Platform
623 opps
Integration Hub
389 opps

Shows demand across product portfolio. Use for product-market fit analysis.

SAL Leads by Owner

Sarah Chen
247 leads
Michael Rodriguez
213 leads
Priya Patel
189 leads
David Kim
176 leads
Jessica Williams
168 leads
Ahmed Hassan
142 leads

Sales-accepted leads per rep. Track capacity and workload distribution.

Closed Won Deals by Owner

Sarah Chen
47 deals
David Kim
42 deals
Michael Rodriguez
38 deals
Priya Patel
34 deals
Jessica Williams
31 deals
Ahmed Hassan
28 deals

Revenue generated per rep. Use for performance reviews and commission planning.

Win Rate by Deal Owner

Owner Opportunities Won Win Rate
Sarah Chen 124 47 37.9%
David Kim 118 42 35.6%
Michael Rodriguez 134 38 28.4%
Priya Patel 127 34 26.8%
Jessica Williams 142 31 21.8%
Ahmed Hassan 138 28 20.3%

Ratio of closed won to total opportunities. Identifies top performers and coaching needs.

Average Deal Size

Segment Avg Deal Size Deals Total Revenue
Enterprise $124,500 47 $5.85M
Mid-Market $42,300 142 $6.01M
SMB $12,800 289 $3.70M
North America $58,400 234 $13.67M
EMEA $47,200 156 $7.36M
APAC $38,900 88 $3.42M

Deal value by owner, product, and region. Spot upsell opportunities and pricing trends.

Pipeline by Forecast Category

Commit
Best Case
Pipeline
2,400
1,800
3,200
Jan
2,600
1,900
3,400
Feb
2,800
2,100
3,600
Mar
3,100
2,300
3,800
Apr
2,900
2,200
3,700
May
3,200
2,400
3,900
Jun

Breaks down opportunities by commit, best case, and pipeline. Critical for forecast accuracy.

Revenue by Month (Closed Won)

Revenue
840,000
Jan
920,000
Feb
1,050,000
Mar
1,180,000
Apr
1,090,000
May
1,240,000
Jun

Trend of bookings over time. Track against quota and identify seasonal patterns.

Lost Deal Analysis by Reason

Price Too High
124 deals
Lost to Competitor
98 deals
Missing Features
76 deals
Timing/Budget
64 deals
No Decision Made
52 deals
Internal Champion Left
28 deals

Key reasons deals are lost. Address top issues to improve win rate immediately.