Flow Control Equipment Distributor
Scaling Success: A Data-Driven Approach to Pricing and Profitability
Profit Unlocked: $41M in Growth with Centralized Pricing Solutions
Transforming a decentralized, highly competitive business into a pricing powerhouse through data-driven strategies and scalable tools.
In an industry where regional operations and fragmented processes were the norm, this industrial flow control and automation distributor faced challenges in aligning pricing strategies across its 40+ brands. Despite rapid growth, inconsistent margins, limited pricing tools, and regional competitiveness hindered profitability. By implementing a centralized pricing strategy tailorable to each brand, leveraging advanced analytics, and deploying scalable quoting solutions, the company achieved $6M in EBITDA growth within a year and $41M in EBITDA growth through 4 years. This case study explores how a focused, multi-step approach to pricing optimization turned complexity into opportunity, laying the groundwork for sustained financial success.
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Situation
Disconnected Systems, Disconnected Strategy: The Case for Change
- Highly decentralized business with 40+ individual brands and processes, experiencing rapid growth through acquisitions
- Operating in a highly competitive, regionally-focused industry with limited understanding of willingness to pay and not leveraging price as a strategic lever
- Out of date list prices that were not market relevant
- Despite margin growth, many brands were not maintaining margin %
- Limited data sophistication, segmentation, and measurement tools & processes, which led to inability to set or realize goals based on potential opportunity
- Limited organizational pricing culture
Findings: Buy Side Quality of Pricing
Conducted buy-side assessment ahead of Private Equity transaction that identified $30-$40M of incremental margin opportunity
Limited Differentiation
- Products or services are lacking clear value distinction.
- This can lead to pricing pressure, margin erosion, and lost opportunities for growth.
Price and Cost Change
- Cost change is outpacing price change realization in parts of the business.
- This gap is putting pressure on margin and is impacting overall profitability.
Margin Variation
- Significant margin variation exists even within peer groups.
- Inconsistent pricing and cost-to-serve drive profitability gaps.
Eroding Margins on New Business
- New customer revenue brought in at a lower margin than previous product matches.
Approach
Unlocking Profitability: Strategic Steps to Optimize Pricing Across Brands
- Data Engineering: Consolidated 13 ERPs into 1 data set and developed product & customer hierarchies and attributes
- Multi-Step Approach: Led pilot across 6 brands to fine-tune process, encourage buy-in, and develop a best in class pricing playbook that could be scaled across the organization
- Price Model: Developed statistical pricing models for ongoing price optimization by brand
- Price Guidance: Provided pricing guidance that includes enhanced segmentation, opportunity modeling, and implementation planning
- Quoting Solution: Built and implemented a tailored quoting application to deliver price recommendations and decision support; Each branch tailored to their specific needs
- Analytics: Deployed centralized, robust reporting dashboards and analytics that consolidated business results as well as tied to specific targets by brand
- Cultural Adoption: Stood-up organizational engagement plan, including change management metrics, to reinforce desired behaviors & drive cultural change
Modeling Methodology
Built a multi-factor model that optimizes pricing through enhanced segmentation of key product, customer, and order factors delivered via a quoting solution
1. Identify Product Peer Groups for Differentiated Pricing
- Segment products into peer groups with a certain number of unique customers and transactions using escalation logic.
2. Model New, Market-Relevant Price Levels
- Analyze revenue margin % percentiles to identify market relevant prices
- Example peer group for margin escalation: Brand | Vendor | Product Type
- Separate margin % target and list & discount transactions
3. Assign Customer Margin Percentile Targets for each Peer Group
- Identified the margin % model selection criteria (e.g., customer tier, product tier)
Green highlight indicates Model Recommendation Percentile
4. Assign List/Discount Price Targets
- Identified the list & discount model selection criteria (e.g., customer tier, product tier)
Green highlight indicates Model Recommendation Percentile
5. Conduct Customer + Item Price Review
- Set customer price capping to mitigate price change risk
- Sales teams and GMs review finalized recommendations through INSIGHT provided application for high visibility and user-based functionality
6. Deliver Price Recommendations
- Integrated recommendation model into quoting application
- Utilized results as an input for measurement and reporting, as well as continuous improvement
- Reinforce desired pricing behaviors through usage and adoption metrics
- Ability to continuously improve model based on results
Technology Solution
Quoting Application
Features:
- Each brand is built in the application
- Develop invoice pdfs that are brand- and logo- specific
- Track open quotes through approval process
- Incorporate exchange rate and freight adders for Canadian brands
- API connection back to ERP (certain brands only)
INSIGHT Analytics Reporting & Analytics
Features:
- Each brand is built in INSIGHT Analytics Dashboards
- Customizable homepage dashboard, e.g., GM homepage shows actions needed for pricing and quote application usage
- Sales rep summary dashboard displays individual performance across revenue, price, and cost change
- Margin scatter allows for comparison of revenue and margin % across customers, vendors, and product types
Continuous Improvement
Stood up continuous improvement structure to ensure ongoing benefit across brands delivered at a set cadence
Advisory Services
Measurement:
- Monthly measurement report on predetermined KPIs (Impact, Usage, Adoption, etc.)
- Key business insights and actions with follow-up from previous month
- Additional KPIs and reporting available upon request
Model Review, Tuning & Adjustments:
- Develop and execute model adjustment plan (annual full model review + quarterly parameter tuning) with quarterly progress review
- Ad-hoc analyses included and tied into model tuning cadence or monthly reporting, based on requirements
Change Management:
- Feedback collected annually from the quoting application users on workflow and model recommendations
- Sales reps with low usage/adoption highlighted and the cause for non-compliance determined with appropriate actions implemented
DRIVE Platform
App Enhancement:
- Compile and prioritize quoting application enhancement requests and estimate of effort
- Conduct two 1-week springs annually to implement prioritized features
Data Engineering:
- Refresh data up to a daily cadence
- Data cleansing and manipulation processes automated for loads to other processes
Integration:
- Integration to the client ERP through the INSIGHT API monitored as it is relevant for each brand
- Failures in the integration supported by INSIGHT safeguards added to ensure integration stability