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Armin Kakas

Founder, Managing Partner

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.

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About

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.

Education

  • UNIVERSITY OF VIRGINIA – DARDEN SCHOOL OF BUSINESS
    MBA – Decision Analytics and Business Ethics Focus
  • BAKER UNIVERSITY
    Bachelor of Business Administration

Certifications & Continued Education

  • Executive Certificate in Technology & Operations, Data Monetization – Massachusetts Institute of Technology (MIT)
  • Graduate Certificate Program in Machine Learning & Artificial Intelligence – MIT
  • Google Cloud Certified Professional Data Engineer (Google)
  • Graduate Certificate Program in Machine Learning – University of Washington Summer Prog
  • Summer Program in Quantitative Methods, Bayesian Modeling – University of Michigan
  • Executive Education Program, Pricing Strategies – The Wharton School (University of Pennsylvania)
  • Specializations in Deep Learning and Data Science

Organizations

  • Promotion Optimization Institute
  • The American Statistical Association
  • Institute for Operations Research and the Management Sciences

Posts

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Business chart showing senior executive support and promotion analytics data.
Articles
Armin Kakas

Promotion Analytics: Why 50% of companies are falling behind and how to catch up.

Two decades later, Promotion Effectiveness & Optimization is still a substantial business problem for companies; at least 50% struggle in this arena.

When we asked ~ 150 commercial leaders about their organization’s Promotion Effectiveness & Optimization capabilities, the Consumer Goods industry emerged with a high score of 3.3 (a little better than Average). This is unsurprising since this is one industry where Promotional spending is routinely 15-30% of Gross Revenues and where the Trade Promotion Management, Effectiveness & Optimization (TPX) software industry grew the fastest.

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September 4, 2023 No Comments
Chart showing how often companies report price realization to leaders by industry and company size.
Articles
Armin Kakas

Why Price Realization Matters

Why Price Realization Matters: Key Findings from our Inaugural Revenue Growth Analytics Survey.

A company’s ability to consistently measure and manage its Net Price Realization is a crucial, yet often overlooked, element of a robust Profit Growth Strategy.

Price Realization – the difference between your List Price and Actual Price (after discounts, rebates, and other incentives/concessions) impacts your bottom line in a significant way.

Over 125 commercial leaders have taken our Revenue Growth Analytics Maturity Quiz, which measured maturity/competency scores across three major areas:

1) Margin Analytics & Optimization

2) Promotion Effectiveness & Optimization

3) Sales & Customer Growth Analytics

The first question in the “Margin Analytics & Optimization” section asked respondents, “How frequently is pricing performance (net price realization) measured and reported to company leaders?”.

Read More »
August 21, 2023 No Comments
AI-driven analytics webinar for boosting revenue with GPT technology.
Video and Webinar Recording
Armin Kakas

Accelerating your Commercial Analytics Workstreams with ChatGPT

GPT-4 is already starting to reshape the field of commercial analytics, and we at Revology Analytics are huge proponents of it.

In our recent webinar titled “GPT-Powered Speed: Supercharging your Revenue Analytics,” we delved deep into how GPT-4 is a game changer for analytics teams. More specifically, we explored GPT-4’s ability to accelerate productivity around diagnostic and predictive analytics for Revenue growth problems.

In addition to exploring how to create the perfect prompts for analytical workstreams, we provided hands-on examples in Python using simulated data sets for things like Price Elasticity modeling, Cohort Analyses, and Churn Modeling.

We have the full recording available here for those who missed the live session or wished to revisit the insights.

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August 13, 2023 No Comments
Expert advice on managing marketing budgets to boost ROI and optimize advertising spend.
Articles
Armin Kakas

How To Manage Your Marketing Budget For Improved ROI

This article was originally published in Authority Magazine’s “The CMO” newsletter.

******

With the growing complexity of marketing channels and the need for businesses to constantly adapt their strategies, managing marketing budgets effectively has become more critical than ever. In this interview series, we speak with CMOs and other marketing leaders who have significant experience in budget management and optimization, to share their “5 Ways To Manage Your Marketing Budget For Improved ROI.” As a part of this series, we had the pleasure of interviewing Armin Kakas.

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July 19, 2023 No Comments
plot — Revology Analytics revenue growth & pricing analytics
Articles
Armin Kakas

Demistifying Marketing Mix Modeling

In our popular webinar on Marketing Mix Modeling (MMM), we disdcuss the pros/cons of MMM, and its growing importance in today’s privacy-centric, cookie-less world.

We also deep-dive into Meta’s innovative MMM framework, Robyn, highlighting how it has revolutionized marketing analytics with its cost-efficiency, granularity of insights, and flexibility.

Our detailed presentation and recorded webinar offer practical demonstrations of Robyn’s capabilities, providing a holistic view of channel effectiveness, adstock decay rates, and marketing budget optimization.

The era of six-figure marketing analytics is a thing of the past – welcome to a future of accessible, affordable, and robust marketing effectiveness measurement.

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July 8, 2023 1 Comment
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Articles
Armin Kakas

The Merits of Aggregated Data for Demand and Price Elasticity Modeling

It’s time to rethink traditional sales and price elasticity modeling methods.

Aggregated data at the retail chain level and modern machine learning models are vital in shaping an efficient, practical, and robust approach for predicting and explaining retail sales.

Why this shift? The traditional reliance on granular, disaggregated (i.e., store-product-day level) data and old-school models are costly, complex, and often misaligned with practical management strategies.

Turning to aggregated data and modern ML approaches reduces costs, enhances model accuracy and efficiency, and makes these valuable insights more accessible to smaller firms and faster for larger ones.

Moreover, in-sourcing these capabilities builds critical, sustainable expertise for Revenue Growth Management, freeing companies from reliance on 3rd parties. This shift signifies an effective and sustainable future for Revenue Analytics and redefines competitive positioning, enabling superior service and product offerings.

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June 20, 2023 No Comments
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Articles
Armin Kakas

Unveiling Your Revenue Growth Analytics Maturity: Unlock Your Full Profit Potential

Discover the power of Revenue Growth Analytics with our newly launched Maturity Scorecard, designed to assess your organization’s capabilities in Margin Analytics & Optimization, Sales & Customer Growth Analytics, and Promotion Effectiveness & Optimization.

Take the 3-minute assessment and gain access to tailored recommendations for improvement, as well as an extensive library of free Revenue Growth Analytics resources, including Tableau dashboards and price elasticity models in R and Python. Don’t miss out on this opportunity to elevate your Revenue Analytics capabilities and drive significant business impact.

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April 9, 2023 No Comments
Guide on price elasticity modeling for data analysis and business insights.
Articles
Armin Kakas

A Brief Guide to Price Elasticity Modeling – Part 2

Understanding the impact of price changes and promotional investments on business outcomes is crucial for all commercial teams (revenue management, finance, analytics, sales, and marketing). In today’s data-driven world, it is essential to have a deep understanding of price and promotional elasticities at the customer-product level to optimize sales, profitability, and market share.

The below guide gives an overview of the typical modeling approaches for price elasticities and contrasts regression vs. machine learning methods for industry best practices.

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March 6, 2023 2 Comments
Revenue growth analysis tutorial with transactional data in Excel.
Articles
Armin Kakas

RA Quick Insights Video Series: Revenue Growth Drivers Analysis Tutorial

In this video, the Revenue Growth Drivers Analysis technique is explored in detail for a fictitious company, Company ABC, to understand the drivers of year-over-year net revenue growth.

The analysis breaks down the impact of Pricing actions, Volume, and Customer and Product mix on the company’s Net Revenue growth. The detailed analysis is conducted at the customer-product level rather than an aggregate level, allowing for more actionable insights.

We illustrate the detailed calculations for Pricing, Volume, and Mix impacts using an Excel Growth Drivers Analysis template, available for download at https://www.revologyanalytics.com/revenue-analytics-tools.

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February 22, 2023 No Comments
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Articles
Armin Kakas

RFM Analysis as an Important Revenue Growth Analytics Capability – Part 2

RFM Analysis is a powerful tool for businesses seeking insights into customer behavior and segmenting them based on purchasing habits. By calculating RFM scores and creating segments, companies can identify valuable customer groups and target them with personalized sales and marketing campaigns. RFM Analysis is not limited to the retail industry or the marketing domain. It can be applied to most industries and functional domains that touch the customer, including pricing, supply chain, A/R, product management, and customer service. Additionally, RFM Analysis can benefit nonprofit organizations by understanding donor behavior to optimize fundraising initiatives.

In part 2 of our RFM Analysis article, we’ll dive deeper into how we can calculate RFM scores, visualize customer performance by RFM segment and discuss sales and marketing implications.

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February 22, 2023 No Comments
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Articles
Armin Kakas

Beyond the Hype: Practical Revenue Growth Analytics Use Cases that Drive Impact

AI/ML is not the ultimate solution for every data-related problem. We must first set up foundational descriptive and diagnostic analytics capabilities and more straightforward ML approaches before applying more advanced techniques. It’s essential to understand the business problems and work closely with functional partners to solve them in a way that aligns well with the company’s analytical readiness and operating rhythm.

The examples of Revenue Growth Analytics use cases mentioned, such as Promotional Analytics, Everyday Price Optimization, Dynamic, Automated Clearance Pricing, Bulk Purchase Optimization, Customer Segmentation & Predictive Insights, and Customer Churn & Cross-Sell Modeling, are practical and impactful capabilities that can drive measurable sales and gross profit improvements. They can be implemented using simple math and essential ML and with popular tech stacks with which pricing, supply chain, and sales partners are familiar.

Overall, the focus should be on pragmatic and co-created approaches with business stakeholders that are most likely to get adoption and impact rather than on celebrating complexity for its own sake.

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February 18, 2023 No Comments
Video thumbnail for Revology Analytics' series on transactional data analysis and gross profit growt.
Articles
Armin Kakas

RA Quick Insights Video Series: Driving rapid margin actions with transactional data analysis (Part III. – Gross Profit Growth Deep Dive)

Companies are in the business of making money, and most often, they care about maximizing their Revenues, Gross Profit, and Operating Income. One of the biggest challenges Finance and Revenue Management teams face is the ability to systematically diagnose the drivers of fundamental business performance changes near real-time.

The price-cost-volume-mix analysis, sometimes known as Revenue or Gross Profit Growth Deep Dive, helps you understand the relevant components that drove your revenue, gross Profit, or other critical financial changes from one period to the next (or for actuals vs. budget).

This short video will show you a simple Gross Profit Growth Deep Dive built on customer transactional data.

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February 9, 2023 No Comments
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