Discover how Revology Analytics propels mid-market businesses to sustainable, profitable growth by building advanced, in-house Revenue Growth Analytics & Management (RGM) capabilities—fast.
Our senior expert-led, hands-on approach ensures you own the tools, insights, strategy and processes needed to thrive long-term.
We would love to hear from you.
Let’s chat!
Gain exclusive access to the latest insights from over 150 commercial leaders on the state of Revenue Growth Analytics in 2025, based on our expanded Revenue Growth Analytics Maturity Scorecard™.
Discover how Revology Analytics propels mid-market businesses to sustainable, profitable growth by building advanced, in-house Revenue Growth Analytics & Management (RGM) capabilities—fast.
Our senior expert-led, hands-on approach ensures you own the tools, insights, strategy and processes needed to thrive long-term.
We would love to hear from you.
Let’s chat!
Gain exclusive access to the latest insights from over 150 commercial leaders on the state of Revenue Growth Analytics in 2025, based on our expanded Revenue Growth Analytics Maturity Scorecard™.
Armin is a high-octane advanced analytics and revenue management expert with an entrepreneurial spirit and hands-on leadership style. His Commercial Analytics advisory work and data commercialization strategies have driven transformational change for companies and opened new data revenue streams.
Armin is a high-octane advanced analytics and revenue management expert with an entrepreneurial spirit and hands-on leadership style. His Commercial Analytics advisory work and data commercialization strategies have driven transformational change for companies and opened new data revenue streams.
As Vice President, Head of Advanced Analytics Commercialization at North America’s leading $5.5B consumer durables distributor, Armin co-founded an analytics subsidiary that enabled the parent company to monetize its data while improving its business decision-making capabilities. He grew the business from 0 to over 2,500 retail locations and manufacturers as customers, providing them with innovative SaaS solutions that captured Point-of-Sale transactional data and served up syndicated market insights, profit, sales mix, and inventory optimization capabilities. Armin masterminded and launched ML-enabled Commercial Analytics products for internal groups in Revenue Management, Sales, and Marketing, contributing to an impressive 35% sales increase and 2x EBITDA growth within three years.
Before this role, Armin was the Head of Data Science in the Revenue Management group, where he built and launched a pricing optimization platform within 90 days. He created the company’s first machine learning-enabled pricing markdown optimization solution, unlocking significant liquidity and gross profit opportunities.
Armin’s career spans 15+ years in B2C and B2B Revenue Growth Analytics, with a strong track record of boosting volume and profits while delivering positive customer outcomes.
His analytics career began at a leading Food & Beverage Company, where he transformed a pricing execution team into a data-driven strategic revenue management group. His work continued at a Fortune 100 retailer, building the company’s dynamic pricing capability and deploying it to over 1,000 retail stores.
A trusted authority in the field, Armin maintains a keen awareness of the Commercial Analytics landscape, actively managing a popular newsletter and hosting analytics webinars for anyone seeking to understand and capitalize on the dynamics of Revenue Growth Analytics.
Thanks to the demise of 3rd party digital IDs, our old friend Marketing Mix Modeling (MMM) is here to stay! Learn about MMM, how it’s done, and how it can be highly impactful to you and your company.
In a previous article, I wrote about the three main structural challenges that data scientists and their organizations face when maximizing their career satisfaction and business impact (data ROI).
This edition of Revology Analytics Insider will dive deeper into the first impediment (“mismatch between data scientist aspirations and corporate reality”). We’ll decompose why it exists and make concrete recommendations to the data science community and company leaders on how to best address it.
Companies are in the business of making money, and most often they care about maximizing their Revenues, Gross profit or Operating income. One of the biggest challenges companies face is the ability to correctly and systematically diagnose and isolate the individual drivers of key business performance changes and build fast, surgical actions to increase profitability. This week I talk about the benefits of doing a proper price-cost-volume-mix analysis for your business, and get you started on building a production level application with analysis examples and explanations in Excel and R.
Data science, AI and ML have been overhyped for at least the last decade, resulting in often unrealistic and misaligned expectations between data scientists and employers. Over the next couple of weeks, I shed light on the three major challenges data scientists typically encounter in their companies and provide concrete suggestions on how to tackle them for both personal and organizational success. Would love to hear from you about your experiences!
Most of us are familiar with the term customer price sensitivity as an important concept especially for sales, marketing and revenue management teams. It helps us understand how price changes affect demand, profitability or market share of our products or services. This week, I will describe the most popular analytical methods that help you measure your product or service price elasticities, including a few simple and proven machine learning based approaches that your analytics or data science teams can easily do.
Last week I wrote about the key tenets for building analytics teams for real, measurable impact in your organization. This week, I’ll focus on one of the four fundamental #datamonetization strategies that companies should employ: capitalizing on their data assets to deploy #operational improvement initiatives that drive cost savings, revenue increases or both. Operational #optimization initiatives are usually a good place for companies to start their #analytics journey, assuming some foundational data capabilities are already in place: reliable internal data, decent #datagovernance and tech stack, a good understanding of customer behavioral profiles and foundational #datascience capabilities.
Read about key analytics use cases across three industries that optimize operational processes to drive real performance. If you have your own analytics use case stories from the trenches (successes or lessons learned), or just want to chat analytics, machine learning or revenue management, drop me a note.
Most analytics transformation efforts do not deliver a positive ROI for the enterprise even after several years. CEOs and their boards know they need to execute an AI-led differentiation strategy to either future-proof themselves, address an existential risk in the marketplace, or simply to make some operational improvements to their business. Yet, according to most estimates, 75-90% of digital transformations fail and less than 1 in 5 companies have fully extracted value out of their analytics journey. Most organizations fail on the last-mile delivery – in other words, front-line employees and decision-makers are not using the analytics tools and processes as intended, or not using at all.
Over the last decade of leading analytics teams, I have succeeded and failed many times. Below are five lessons learned from these experiences. I hope it can serve as a helpful 10K foot roadmap for nascent or aspiring analytics leaders or seasoned business executives who want to build a sustainable practice that adds real, quantifiable value for their company and its customers.
Have a Revenue Growth Analytics pain point, a question, or a content suggestion?
The Hurt Hub@Davidson
210 Delburg St, Davidson, NC 28036, United States
+1 803-701-9243
We would love to hear from you.
Revology Analytics® is the end-to-end Pricing & Revenue Growth Management advisory firm for mid-market companies: strategy and governance, AI-enabled analytics, and the adoption that turns both into profit.
Over 225 companies took our scorecard to improve their Revenue Growth Analytics & Management capabilities.
Copyright © 2026 Revology Analytics LLC