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

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.

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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.

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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.

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