Enrico Sieni

Founder, Managing Partner

Enrico is a Consulting Partner for Revology and the founder of Pricing Lever LLC, a consultancy dedicated to partnering with organizations to drive transformative growth through strategic pricing and product management. With a global career that spans multiple industries and continents, Enrico has consistently demonstrated his ability to elevate essential business functions, including financial planning, pricing strategy, and analytics, to new heights of performance.

About

Enrico is a Consulting Partner for Revology and the founder of Pricing Lever LLC, a consultancy dedicated to partnering with organizations to drive transformative growth through strategic pricing and product management. With a global career that spans multiple industries and continents, Enrico has consistently demonstrated his ability to elevate essential business functions, including financial planning, pricing strategy, and analytics, to new heights of performance.

Throughout his career, Enrico has been recognized as a change agent. He is adept at developing and executing comprehensive business strategies that align cross-functional teams toward shared objectives. His expertise is maximizing revenues and profitability, particularly in highly competitive markets, by leveraging best practices in business strategy, data analytics, and operational excellence.

Enrico’s leadership is characterized by his ability to build, train, and optimize high-functioning teams. He fosters a culture of accountability, professional development, and collaboration, ensuring that his teams are equipped to deliver exceptional results. His extensive experience includes senior executive roles at MSC Industrial Supply Co., Berry Plastics Corporation, and HB Fuller, where he led significant initiatives that substantially improved profitability and operational efficiency.

Enrico’s core strengths include:

  • Executive Leadership: Proven track record in building and scaling pricing teams, sustaining industry-leading gross margins, and navigating complex pricing challenges, including tariff implementations and hyperinflation.

  • Strategic Planning & Analytics: Expertise in developing and executing strategic pricing initiatives that drive substantial EBITDA improvements and ensure alignment with global financial targets.

  • Process Reengineering & Change Management: Led transformations in FP&A functions, standardized data governance across global operations, and delivering enhanced customer service while optimizing operational efficiency.

Education

University of Bath
BSc Honours, Business Administration

Certifications & Continued Education

Lean Six Sigma Master Black Belt

Organizations

  • Professional Pricing Society
  • Jack Welch Management Institute (Training Contributor)

Posts

Quoting price discipline framework: deal desk, price-band guardrails, and weekly margin review for mid-market firms

How to Improve Quoting Prices Without a Pricing Team

Improving quoting prices without a dedicated pricing team requires disciplined execution: a deal-desk approval matrix, price-band guardrails, a quote-template library, and weekly margin reviews. Mid-market manufacturers and distributors can install this in 90 days, recovering 200-400 bps of EBITDA—since a 1% price gain lifts operating profit 8-9%.

Read More »
Digital analytics dashboard with gears and upward trending arrows for data growth.

How Does a Virtual Pricing Team Master Advanced RGM in the Mid-Market?

Advanced RGM is a disciplined, governed approach to pricing, mix, discount control, and trade investment, delivered by a virtual pricing team rather than a permanent department. For mid-market manufacturers with 8-12% EBITDA margins, a 1% improvement in price realization yields a 6-7% operating-profit gain—often within a single quarter.

Read More »
Revify Analytics visualizes pricing growth and strategic improvements.

What Is Pricing Evolution and How Do You Build It Without a Pricing Team?

Pricing evolution is the staged shift from reactive, spreadsheet-based pricing to a disciplined, weekly-governed process executed without a full pricing team. The five-step journey—Diagnose, Stabilize, Operationalize, Optimize, Sustain—delivers initial margin recovery in 30-60 days, with a 1% price gain producing 6-7% operating-profit lift for mid-market manufacturers.

Read More »
Digital data analytics with predictive growth graphs and data streams.

How Do Mid-Market Pricing Teams Deploy Predictive and Prescriptive Analytics?

Predictive and prescriptive pricing analytics for mid-market manufacturers and distributors combines Double Machine Learning elasticity, association-rule cross-sell, and RFM customer segmentation—delivered as a managed service rather than an internal data-science build. The result is enterprise-grade decision quality, monthly model refreshes, and statistically grounded pricing without a seven-figure platform investment.

Read More »
Graph showing $130K margin lift by optimizing customer segments and profit tail.

How Do You Repair a Customer Portfolio Tail Without Losing Volume?

Repairing the customer portfolio tail recovered $130K in annualized margin for a manufacturer—without volume loss—by isolating 100 break-even and 252 low-GM accounts, then applying elasticity-aware pricing moves cross-referenced against ML customer segmentation. The result distinguishes genuinely unprofitable accounts from strategic ones, making tail monitoring a permanent monthly commercial discipline.

Read More »
Visual of layered discount matrix for pricing strategy optimization.

How Do You Redesign Pricing Architecture From Discount Chaos to Disciplined Tiers?

A redesigned pricing architecture replaced a manufacturer’s legacy discount stack with a clean Bronze-Silver-Gold-Platinum tier structure, assigning every customer to one strategic discount based on RFM segmentation and price elasticity. The new architecture collapsed thousands of unused discount combinations into a governable, self-correcting system where tiers are earned by buying behavior.

Read More »
AI-driven diagnostic engine analyzing 3.56M transactions for data health.

What Is a Data Health Check and How Does It Build the AI Analytical Foundation?

A rigorous data health check scored 93.17 across 3.56M distributor transactions, establishing the AI-ready foundation required before any pricing or RGM analytics can be trusted. The five-dimension methodology evaluates completeness, accuracy, consistency, timeliness, and matrix conformance—giving leaders a single defensible number for the dataset feeding every downstream commercial decision.

Read More »
Visual analytics dashboard showing customer retention and revenue recovery metrics.

How Does RFM-Based Customer Retention Recover At-Risk Sales?

Customer retention analytics, driven by RFM segmentation, recovered $1.5MM–$3MM in at-risk Showroom sales at a mid-market distributor by flagging churn risk before revenue hardened into loss. Scoring accounts by recency, frequency, and monetary value mapped them into actionable Champions, At Risk, and Cannot Lose Them segments for predictive, segment-led engagement.

Read More »
Digital analytics dashboard showing profit growth and customer SKU visibility.

How Do You Turn Loss-Making Customers Into a 15% Gross Margin Lift?

An elasticity-driven playbook produced a 15% gross margin lift on chronically loss-making customer-SKUs at a mid-market distributor without unacceptable volume loss. The approach isolates bottom-of-book accounts, simulates moves with price elasticity evidence, and segments customers into recoverable versus structural loss leaders—converting roughly $6MM of sub-5% GM sales into recovered margin.

Read More »

Browse Top Contents

Get in Touch With Us!

Let’s Unlock Your Profitable Growth Potential

You are on the right spot!

We are still working on this to give the best insights. 

We will inform you once this is done.