Configuration Insights
Product manager retired a zone controller option based on order history. CPQ showed buyers still opened that option in most config sessions but abandoned before quote complete. Mercura configuration insights surface exploration demand order data never records.
Option opens
How often each option is selected in sessions
Abandon rate
Configs exited before quote complete by step
Rule blocks
Combinations buyers attempt but rules reject
The challenge
Product manager retired a zone controller option based on order history. CPQ showed buyers still opened that option in most config sessions but abandoned before quote complete.
A builder of pick-to-light modules for pharma wholesale distribution centers makes portfolio calls from ERP order lines and quarterly rep surveys. Last quarter product management retired a zone controller option because it appeared on few shipped orders. Configuration review in CPQ showed the option opened in sixty-two percent of buyer and dealer sessions before abandonment at the wiring harness step.
Order data shows what customers bought. It cannot show which pick-face density or controller tier buyers explored, which configuration steps they exited, or which combinations validation rules blocked before a quote existed. Product teams retire options that look unused while demand still appears in half-finished configs reps never submitted.
CPQ analytics spans the full funnel from configuration through order. Sales analytics coaches rep quoting behavior. Pricing analytics tracks margin gap on quoted lines. Quote analytics measures stage conversion and dwell time. Configuration insights is different: Mercura option-level dashboards from CPQ session data show opens, changes, abandon points, and blocked combinations so product managers act on exploration intent, not only on what cleared order entry months later.
Inquiry to config to price to approval to order should not drive portfolio cuts from order history alone because exploration and abandonment signals sit in CPQ sessions before any order ships.
How it works
How Mercura configuration insights works
Mercura records option selections, changes, step exits, and rule-block events for every configuration session across rep, dealer, and buyer channels. Dashboards rank most-opened options, highest abandon-rate steps, and most-blocked combinations by product family and option group. Product managers filter by customer segment, channel, and time period to compare how wholesale buyers and dealer configurators behave. Trend views show rising or falling option interest before it appears in orders. Abandonment heatmaps highlight steps where sessions end without quote completion. Blocked-combination reports flag rules that suppress demand product teams may want to revisit. Data exports through API to product management and BI tools for roadmap reviews. Someone must define which option groups matter for portfolio decisions, set abandon thresholds for alerts, and validate event definitions after configurator changes.
What's included
What configuration insights covers
- Option open and selection frequency ranked by product family
- Configuration abandon rate by step and option group
- Most common completed configuration combinations
- Blocked combination frequency for rules review
- Segment and channel comparison of configuration behavior
- Time-series trend analysis for option demand shifts
- Explored-but-not-ordered option pairs for pricing or UX review
- Export to product management tools for roadmap planning
The difference
Product demand visibility before and after configuration insights
- Portfolio cuts based on shipped lines, not on exploration demand
- Abandon points in configurator invisible to product team
- Blocked combinations unknown until sales escalates manually
- Option retirement without frequency data from active sessions
- Segment differences in how buyers configure remain anecdotal
- Option opens and abandon rates visible from CPQ session data
- Blocked combinations flagged for rules and portfolio review
- Explored options inform pricing, UX, and retirement decisions
- Channel and segment filters show how configurators differ
- API feeds product management and BI for roadmap reviews
Real-world application
Example workflow: pick-to-light option review before portfolio retirement
A pick-to-light builder for pharma wholesale distribution planned to retire a zone controller option after low order counts. Configuration insights showed the option opened in most sessions but abandon spiked at the wiring harness step. Product management simplified that step sequence, kept the controller in catalog, and saw completed configs rise before the next quarterly portfolio review.
Business impact
Why configuration insights is exploration demand from CPQ sessions, not a replacement for order analytics
Configuration insights puts option opens, abandon points, and rule blocks in front of product managers while buyers are still configuring. It complements CPQ analytics for funnel visibility, sales analytics for rep coaching, pricing analytics for margin review, and quote analytics for stage conversion. Mercura does not replace ERP order history, customer surveys, or external BI strategy. Someone must own option group definitions and abandon thresholds. If the pain is "order history says retire the option but CPQ shows buyers still open it and abandon", configuration insights aligns inquiry, configuration, price, approval, and order with what customers explore before they buy.
See zone controller option opens and abandon at the wiring harness step before retiring it from order history
Book a demo and walk configuration insights until option demand, abandon rates, and blocked combinations match what your product team needs for portfolio decisions.
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