Advanced Revenue Growth Analytics Custom Program
Customized Advanced Analytics Training to Accelerate Profitable Growth
Overview
Advanced Revenue Growth Analytics is a bespoke training program designed to address your organization's unique needs in Pricing & Revenue Management and Sales & Marketing Enablement. Spanning 2 to 5 days, this program integrates the most effective elements from our Advanced Programs in Sales & Customer Analytics and Pricing Analytics. The course outline is co-created with your team to ensure maximum relevance and impact, delivering tailored insights and strategies that drive sustainable growth.
Target Market
This program is ideal for professionals in Pricing, Revenue Management, Marketing, and Commercial Finance, from Analyst to Director levels, as well as Business Analysts and Data Scientists working within Sales, Marketing, Pricing, Finance, or Supply Chain domains.
Training Development Timeline
This training is co-designed to cater to your specific needs and skill levels. Once we have a comprehensive understanding of your requirements, the anticipated development timeline is between 6 to 12 weeks.
Learning Outcomes
The Program will empower participants to:
Address unique business challenges (relative to their company and industry) in Sales & Customer Growth and Price & Promotion Optimization.
Formulate pricing, promotional, and marketing strategies using advanced analytics and machine learning.
Engage in hands-on predictive modeling sessions that tackle real-world
business scenarios.
Augment their expertise in advanced machine learning models for customer segmentation and price elasticities, price-value maps, marketing ROI optimization, dynamic pricing models, and growth drivers analyses.
Collaborate with Revology Analytics experts to address specific Revenue Growth Management business challenges.
Training Agenda
Agenda is finalized through collaboration with the client lead.
Potential agenda topics include:
Customer Lifetime Value (CLV) Modeling:
Learn advanced CLV Modeling Techniques and practical applications for targeted marketing and customer engagement efforts.
Price Elasticity Modeling:
Hands-on examples of best-in-class ML modeling approaches. Understand the ramifications of pricing and promotional changes.
Trade Promotion Effectiveness & Optimization:
Build a blueprint for in-house Promotion Effectiveness & Optimization solutions to optimize promotional investments for you and your customers.
Marketing Spend Effectiveness & Optimization:
Tailor your marketing and promotional strategies based on unique business goals. Learn advanced modeling techniques in Marketing Mix Modeling and Multi-Touch Attribution.
Predictive Customer Behavior Modeling:
Forecast customer behavior, like propensity to churn or up-sell.
Advanced Scenario Analyses:
Conduct comprehensive analyses for pricing, promotional decisions, and merchandising strategies.
Competitive Behavior:
Learn how to model lead/follow analyses to inform your competitive pricing & promotional strategy.
Introduction to Sales & Marketing Knowledge Graphs:
Learn how to design and implement a Knowledge Graph for Revenue Growth Analytics use cases.
All hands-on modeling sessions, strategy discussions, and mock action plans can be built using client data (subject to mutual NDA).
Sample Agenda
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Introductions & The State of Revenue Growth Analytics
Volume Hurdles & Strategic Implications
Modeling Price Elasticities and Dynamic Pricing
Random Forest + Gradient Boosting 101
Group Exercise: Linear regression walkthrough using R and Python
Double Machine Learning (DML) Modeling 101
Group Exercise: Modeling Price Elasticities using DML (Module 1)
-
Promotion Market Effects and 1 Prisoner's Dilemma
Price Promotions and Consumer Behavior
Group Exercise: Modeling Price Elasticities using DML (Module 2)
Case Study: A Blueprint for Building In-House Promotional Effectiveness & Optimization Capabilities
Knowledge Graphs for Price & Promotion Optimization in CPG
Group Exercise: Building "Optimal" Promotional Calendars in Python, using Mixed Integer Nonlinear Optimization
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Introduction to Marketing Mix Break: 15 mins Models (MMM)
Case Study: Implementing MMM in an Omni-Channel Retail Environment
Hands-on Lab: Building a Marketin Mix Model in R
Hands-on Lab: Building a Bayesian Marketing Mix Model in Python
Lookalike Audience and New Audience Predictive Modeling
Group Exercise: Predictive Modeling for Audience Expansion using Python
Predictive Modeling for Propensity to Churn and Upsell
Group Exercise: Building Churn and Upsell Models in R
-
Price Value Maps (PVM) - Foundations
Case Study: Modeling PVMs and designing Pricing & Promotion Strategies
Group Exercise: Building a Price-Value Map using 3rd party surveys and ML approaches
Why do we need to monitor industry margin pools?
Group Exercise: Analyzing Profit Pools using R
Wrap-Up, Q&A and Group Feedback
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.
This 3-day intensive program (in-person or online) dives deeper into advanced pricing analytics and promotional optimization concepts, incorporating examples using R and Python machine learning algorithms.
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
Rudy is the co-founder of Reliancy and Clarity Data Insights, a leading AI/ML solutions firm for Sales & Marketing Enablement.
He is a recognized expert in AI and Machine Learning (including AI & Industry 4.0 Tech), named a 2021 "Key Opinion Leader" by Onalytica.
Rudy has a successful track record of architecting and deploying AI/ML solutions for Sales & Customer Growth projects across various industries, including mid- and large-cap Retail, Industrials, CPG, Healthcare and SaaS.
Specifically, his expertise is in augmenting Sales and Marketing capabilities with AI, including advanced Customer Journey and Path Analytics and incorporating domain-specific, client-side LLMs into Sales and Marketing analytics solutions.
Rudy holds a PhD from the University of Minnesota and has published extensively in top-tier conferences on AI and machine learning.
Rudy Agovic, PhD
Consulting Partner - AI for Sales & Customer Growth