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Sales Analytics
Monitor sales team performance directly from your CPQ data. Track quote volumes, conversion rates, deal sizes, and sales cycle lengths — broken down by rep, product, and customer segment.
360°
Sales performance visibility
Real-time
Pipeline data refresh
Zero
Manual CRM report building required
The Challenge
Sales Performance Data Is Fragmented Across Systems
Sales leaders typically rely on CRM data for pipeline visibility, but CRM records are only as accurate as the last time a rep updated them. For manufacturers using CPQ, the actual commercial activity — configuration choices, quote values, approval history — lives in the CPQ system, not the CRM.
Building a complete picture of sales performance requires manually reconciling data from the CPQ system, the CRM, and the ERP. This process takes days and produces a snapshot that is already out of date.
Without integrated CPQ sales analytics, it is impossible to understand which sales behaviors drive win rates — whether reps who configure specific options win more often, whether certain deal structures correlate with better retention, or whether specific approval patterns predict order cancellation.
Sales managers end up managing by outcome — coaching after deals are lost rather than intervening during the quoting process when the outcome can still be changed.
How It Works
How Sales Analytics Works in Mercura
Mercura captures CPQ activity data at the individual sales rep level — every quote created, every configuration started, every deal submitted for approval, every order placed. This data is aggregated into sales analytics dashboards that give managers visibility into both individual and team performance. Dashboards track the full pipeline from quote initiation to order close, with stage-level conversion rates and average cycle times. Managers can drill into individual rep activity to understand workload distribution and identify coaching opportunities. All data is current to the last transaction — no manual refresh required.
What's Included
Key Capabilities
- Individual rep quoting activity — quotes created, submitted, approved, won, and lost
- Team-level pipeline dashboard with value, stage, and aging for all active quotes
- Win rate by rep, product line, customer segment, and deal size
- Average sales cycle length with stage-level breakdown
- Deal size distribution and trend analysis
- New vs. repeat customer quoting breakdown
- Sales territory performance comparison
- Exportable rep scorecards for performance review cycles
The Difference
Before and After Sales Analytics
- Pipeline visibility requires manual CRM reconciliation — days to produce
- Rep activity data available only in stale CRM records
- Win rate analysis impossible without combining multiple data sources
- Sales cycle length unknown — decisions based on gut feel
- Coaching reactive — managers see outcomes but not behaviors
- Real-time pipeline from CPQ data — complete and always current
- Rep activity tracked automatically from every CPQ interaction
- Win rate by rep, product, and segment available instantly
- Sales cycle length tracked at every stage — bottlenecks visible immediately
- Managers coach on behavior in real time — not on outcomes after the fact
Real-World Application
Example Use Case: Industrial Automation Manufacturer
An industrial automation manufacturer with a 20-person sales team had no visibility into individual rep quoting activity. The sales manager received weekly pipeline reports that were manually compiled from CRM data by a sales operations analyst — a process that took half a day and produced data that was 5–7 days old. After implementing Mercura's sales analytics, the manager had a live dashboard updated on every CPQ transaction. Within 30 days, a significant performance gap emerged: the top-performing 25% of reps had a quote-to-order conversion rate 2.4× higher than the bottom quartile. Behavioral analysis revealed that high performers consistently included application-specific configuration documentation in their quotes. This insight became the basis for a coaching program that improved the bottom quartile's conversion rate by 31% over the following quarter.
Quote turnaround dropped from 3 days to under 4 hours.
Business Impact
Why Sales Analytics Matters
Sales analytics rooted in CPQ data are fundamentally more valuable than CRM-based reporting, because CPQ captures the actual commercial behavior that drives outcomes — what was configured, how it was priced, how quickly it moved through approval. This behavioral data is the key to understanding why some reps win more, why some products close faster, and where in the process deals are being lost. Mercura puts this intelligence in the hands of sales leaders in real time.
Get Real-Time Sales Visibility From Your CPQ
Book a demo to see how Mercura sales analytics give you the pipeline clarity and rep-level insight to drive performance.
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