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
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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
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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
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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
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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
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Introduction to Dynamic Pricing
Types of Dynamic Pricing in Manufacturing, Distribution, and Retail
Case Study: Implementing Dynamic Pricing in Retail
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Pricing Markdown Optimization Techniques
Competitive Pricing Intelligence & Lead/Follow Analyses
Case Study: Optimizing Gross Profits using Markdown Optimization
DAY 3
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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
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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
EXPLORE AVAILABLE PROGRAMS
This 3-day in-depth course explores advanced sales & customer analytics, predictive modeling techniques, and marketing spend optimization strategies with hands-on sessions in R and Python.
A customized training program designed to meet your organization's unique needs, combining advanced sales, customer analytics, and price analytics & optimization strategies for accelerated revenue growth.
EXPLORE OUR ADVISORY SERVICES
About Your Instructors
Armin Kakas
Founder, Managing Partner
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.
Robert is the founder of EBITDA Catalyst and the brains behind Pricing Power Clarity®, Mission Driven Pricing® and Pricing as a System®.
He started his career in investment and risk management roles at blue-chip financial and investment firms. His thought leadership in Pricing and Revenue Management has been published in several Professional Pricing Society journals, and featured on leading pricing podcasts.
Robert is passionate about pro-bono projects, supporting great non-profits and promoting mission-driven pricing.
In addition to core pricing, revenue management and CLV consulting, Robert contributes core strengths with:
Operating experience: Managed P&Ls and led global pricing for several leading global brands, from a Fortune 100 to a unicorn startup turned global powerhouse.
Financial & value-creation acumen: Stints in investment banking and buy-side investing (hedge fund, PE).
Analytics depth: Rigor acquired from former life as an international math olympian, combined with fundamental data viz and ML capabilities in the Pricing domain.
Robert Ribciuc
Consulting Partner - Pricing Strategy