Pricing Analytics
CFO compared list margin targets to ERP gross margin. CPQ showed quote-level discounts below floor on heat-treatment furnace lines that approval never flagged. Mercura pricing analytics closes the gap between pricing policy and quoted reality.
The challenge
CFO compared list margin targets to ERP gross margin. CPQ showed quote-level discounts below floor on heat-treatment furnace lines that approval never flagged.
A builder of heat-treatment furnace systems for automotive parts suppliers runs quarterly pricing reviews from ERP gross margin by product family. The CFO asks why engineered furnace lines fell two points below list margin target when discount policy caps line discounts at ten percent.
ERP shows realized revenue after shipment. It cannot show that inside sales applied eighteen percent line discounts on custom alloy chamber upgrades in quotes that never triggered approval because deal totals stayed under threshold. Finance discovers margin leakage months later when cost accounting closes the quarter.
CPQ analytics spans the full funnel from configuration through approval to order. Sales analytics coaches reps on quoting activity and win rates. Quote analytics measures stage conversion and quote aging. Configuration insights surfaces option demand and abandoned configs. Pricing analytics is different: Mercura line-level dashboards from CPQ quote data show margin gap, discount depth, and below-floor quotes so finance and sales leadership review pricing policy against what reps actually quote, not ERP averages after shipment.
Inquiry to config to price to approval to order should not wait for ERP quarter close because quoted margin and discount decisions are recorded on every CPQ line before the order ships.
Margin gap
Quoted margin vs list target by line
Discount depth
Average discount from list on quoted lines
Floor breaches
Quotes below minimum margin threshold
How it works
How Mercura pricing analytics works
Mercura records list price, applied discounts, and calculated margin on every quoted line at configuration and quote stages. Dashboards aggregate by product line, customer segment, sales rep, region, and time period. Price realization rate and margin gap versus list targets appear by family and option group. Discount depth distributions show whether reps cluster at policy limits or spread below floor. Outlier reports flag quotes where line margin dropped below minimum before approval resolved. Waterfall views walk from list to net for any deal or segment. Data exports through API to BI tools for quarterly pricing committee packs. Someone must define floor thresholds, set alert rules for below-minimum quotes, and validate margin definitions after cost or list price updates.
What's included
What pricing analytics covers
- Margin gap versus list targets by product line and option group
- Price realization rate from list to net by segment, rep, and region
- Discount depth distribution on quoted lines against policy limits
- Below-floor quote flagging before approval and order submission
- Customer-specific rate performance versus contracted targets
- Price waterfall from list through discounts to net for any deal
- Historical margin trend analysis for pricing committee reviews
- Territory and channel benchmark comparison on quoted margins
The difference
Pricing visibility before and after CPQ pricing analytics
- Margin reviews use invoiced revenue weeks after quotes close
- Actual discount patterns on quoted lines require manual CPQ exports
- Below-floor quotes invisible until cost accounting closes quarter
- Reps discount without visibility into line margin impact
- Pricing committee packs compiled from incomplete spreadsheet joins
- Quoted margin and discount depth visible from CPQ line data
- Below-floor quotes flagged at quote stage before orders ship
- Margin gap by product line informs pricing policy reviews
- Reps and managers see line margin impact during configuration
- API feeds BI tools for quarterly pricing committee reporting
Real-world application
Example workflow: furnace line margin review from CPQ quote data
A heat-treatment furnace builder for automotive parts suppliers compared ERP gross margin to list targets while inside sales applied eighteen percent discounts on alloy chamber upgrades in quotes under approval thresholds. After Mercura pricing analytics, finance opened one dashboard showing margin gap and below-floor lines by product family, flagged chamber upgrade quotes before month-end close, and tightened discount approval rules on engineered furnace configurations.
Business impact
Why pricing analytics is margin visibility from quoted lines, not a replacement for ERP cost accounting
Pricing analytics puts quoted margin and discount depth in front of finance and sales leadership while deals are still open. It complements CPQ analytics for funnel visibility, sales analytics for rep coaching, quote analytics for stage conversion, and configuration insights for product demand. Mercura does not replace ERP cost rolls, list price maintenance, or external BI strategy. Someone must own floor thresholds and margin definitions. If the pain is "ERP shows gross margin after shipment but CPQ holds below-floor discounts approval never flagged", pricing analytics aligns inquiry, configuration, price, approval, and order with what reps actually quote.
See quote-level discounts below floor on engineered furnace lines before ERP quarter close
Book a demo and walk pricing analytics until margin gap, discount depth, and below-floor flags match what your pricing committee reviews today.
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