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Advanced Price
Analytics Program

Harnessing Data to Optimize Pricing Strategies and Maximize Profitability

Overview


This 3-day, high-impact training program (available in-person or online) dives into cutting-edge pricing analytics and promotional optimization strategies. Participants will explore real-world applications using advanced machine learning techniques in R and Python, designed to drive revenue growth and enhance profitability.

Target Market

  • Pricing, Revenue Management, Marketing, and Commercial Finance team members (Analyst to Director levels).

  • Business Analysts and Data Scientists who are aligned with Pricing, Finance, Supply Chain, Sales, or Marketing domains.

Learning Outcomes

By the end of this program, participants will be equipped to:

  • Master sophisticated methods for optimizing revenue and gross profit.

  • Develop and implement dynamic pricing strategies that maximize margins and sales volumes.

  • Understand the impact of promotional investments through advanced modeling techniques and machine learning simulations.

  • Apply complex Price Elasticity models to measure the effects of regular and promotional pricing changes.

  • Gain hands-on experience with R and Python for critical pricing capabilities such as Price Elasticity Modeling, Growth Drivers Analysis, Price-Value Mapping, and Pricing & Promotional Optimization.

Training Agenda

DAY 1

Session 1: Advanced Revenue Growth & Gross Profit Optimization Techniques (3 hrs.)
  • Advanced Revenue & Gross Profit Drivers Analysis

  • Industry Margin Pool Analysis & Strategic Implications

  • Growth Optimization with Machine Learning in R & Python

  • Case Study: Mitigating Cost Increases with Smarter Mix Management

  • Regression based modeling approaches
  • Own vs. customer and competitor price elasticities & strategic implications
  • Modeling tutorials using R and Python
  • Pricing Sentiment Analysis using Natural Language Processing
  • Case Study: Foundational Retail Price Optimization
  • Modeling Price Elasticity for Promotional Price Changes

  • Implementing Dynamic Scenario Analysis for Promotional Investments

  • Measuring Company and Supply Chain Impact of Promotional Investments

  • Case Study: Restructuring Promotional Plans for Profitable Growth

DAY 2

Session 1: Advanced Promotional Investment Impacts & Optimization Part 2 (3 hours)
  • Evaluating Customer ROI of Promotional Investments
  • Trade Promotion Effectiveness (TPE) with Micro-and Macro Level Promotional ROIs
  • Restructuring Promotion & Rebate Programs
  • Case Study: A Blueprint for Building In-House Promotional Effectiveness & Optimization Capabilities
  • Introduction to Dynamic Pricing

  • Types of Dynamic Pricing in Manufacturing, Distribution, and Retail

  • Case Study: Implementing Dynamic Pricing in Retail

  • Pricing Markdown Optimization Techniques
  • Competitive Pricing Intelligence & Lead/Follow Analyses
  • Case Study: Optimizing Gross Profits using Markdown Optimization

DAY 3

Session 1: Price Elasticity Modeling Advanced (4 hours)
  • Overview of Machine Learning techniques for Price Elasticity Modeling

  • Exploring different ML approaches across Manufacturing, Distribution and Retail.

  • Hands-on session: Implementing ML models in Python for Price Optimization

  • Evaluating results and understanding strategic pricing implications

  • Foundations of Value Based Pricing
  • Using Price-Value Maps for Pricing Strategy and Competitive Positioning
  • Case Study: Modeling PVMs and designing Pricing & Promotion Strategies
  • Group Exercise: Building a Price-Value Map using 3rd party surveys and ML approaches

About Your Instructors

Armin founded Revology Analytics, bringing extensive expertise in advanced analytics and Revenue Growth Management. With over 15 years of experience in B2C and B2B Revenue Growth Analytics, he has a distinguished record of developing in-house commercial analytics capabilities across several industries as an advanced practitioner, executive, and expert advisor.

As former Vice President, Head of Advanced Analytics Commercialization at a leading consumer durables distributor in North America, Armin co-founded an analytics subsidiary, providing SaaS solutions and introducing new revenue streams through data monetization. Before this role, he led Revenue Growth Management and Pricing Science teams in CPG and Retail.

At Revology Analytics, Armin specializes in guiding businesses to independently implement analytics and machine learning solutions to optimize Revenue and Profit growth and reduce dependency on external vendors for this core competency.

He earned his MBA from the University of Virginia in Decision Analytics, with postgraduate studies in Artificial Intelligence and Machine Learning at MIT and the University of Washington. He stays actively involved with the analytics community, running a widely-read Commercial Analytics newsletter and regularly conducting insightful webinars on topics related to Revenue Growth Analytics.

armin background

Armin Kakas

Founder, Managing Partner

Enrico is a Consulting Partner for Revology and the founder of Pricing Lever LLC, dedicated to partnering with organizations to drive transformative growth through strategic pricing and product management.

With a global career across multiple industries, Enrico has held senior executive roles at MSC Industrial Supply Co., Berry Plastics, and HB Fuller, consistently elevating financial planning, pricing strategy, and analytics functions.

Enrico is recognized as a change agent and collaborative leader, fostering cultures of accountability and building high-functioning teams to deliver exceptional results in competitive markets.

In addition to pricing strategy and product management, Enrico contributes core strengths with:

  • Executive Leadership: Proven track record building and scaling pricing teams to sustain industry-leading gross margins while navigating complex challenges like tariff implementations and hyperinflation.

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

  • Process Reengineering: Led transformations in FP&A functions and standardized data governance to enhance customer service while optimizing operational efficiency.

Enrico

Enrico Sieni

Partner - Pricing & Revenue Growth Management