Armin Kakas

Founder, Managing Partner

Armin Kakas leads Revify Analytics, a Revenue Growth Management (RGM) advisory and analytics platform for mid-market manufacturers and distributors. He has 15+ years of experience in B2C and B2B Revenue Growth Analytics, pricing optimization, and commercial data monetization.

Armin Kakas, Founder and Managing Partner of Revify Analytics

About

Armin Kakas is the Founder and Managing Partner of Revify Analytics, a Revenue Growth Management (RGM) advisory and analytics platform for mid-market manufacturers and distributors. He has 15+ years of experience in B2C and B2B Revenue Growth Analytics, pricing optimization, and commercial data monetization.

At Revify, Armin leads the firm’s advisory practice and product strategy, helping mid-market manufacturers and distributors stand up durable pricing capability — covering price setting, discount management, exception approval, profitability measurement, and cross-functional review — typically in 8 to 12 weeks rather than the multi-year transformations traditional consultancies require.

Before founding Revify, Armin served as Vice President, Head of Advanced Analytics Commercialization at North America’s leading $5.5B consumer durables distributor. He co-founded an analytics subsidiary that enabled the parent company to monetize its data while improving internal decision-making, and grew that business from zero to over 2,500 retail and manufacturer customers. The subsidiary delivered SaaS products that captured point-of-sale transaction data and served syndicated market insights, profit, sales-mix, and inventory optimization. The work contributed to a 35% sales increase and 2x EBITDA growth in three years.

Before that role, Armin was Head of Data Science in the same company’s Revenue Management group, where he built and launched a pricing optimization platform in 90 days and developed the company’s first machine-learning-enabled markdown optimization solution.

Earlier in his career, Armin transformed a pricing execution team at a leading Food & Beverage company into a data-driven strategic revenue management group, and built a Fortune 100 retailer’s dynamic pricing capability — deploying it to more than 1,000 retail stores.

Armin also runs a widely-read Commercial Analytics newsletter and hosts analytics webinars on Revenue Growth Analytics.

  • Revenue Growth Management (RGM)
  • Pricing Strategy & Optimization
  • Pricing Analytics
  • Commercial Analytics
  • Data Monetization
  • Machine Learning for Pricing
  • Revenue Management
  • B2B and B2C Pricing
  • Markdown & Dynamic Pricing
  • Price-Cost Discipline
  • Mid-Market RGM Capability Building

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

Pricing Outsourcing

What Is Pricing Outsourcing and How Do Managed Pricing Services Work?

Pricing outsourcing—also called managed pricing services—engages an external team to handle pricing analysis, governance, and execution without building a full internal department. Backed by Nagle, McKinsey, Bain, and BCG research, it delivers measurable EBITDA improvement by embedding pricing discipline as a repeatable service rather than a one-time pricing study.

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Pricing analytics dashboard showing competitive intelligence for margin gains.

How Top Pricing Teams Turn Competitive Intelligence Into Margin Gains

Top pricing teams turn competitive intelligence into margin gains by replacing fragmented spreadsheets and gut instinct with systematic data frameworks. Companies with structured competitive pricing intelligence are 15% more profitable, and a 1% improvement in price realization drives a median 6.4% operating-profit gain. This recorded webinar walks through the playbook.

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What Is Interim Pricing Leadership and When Should You Use It? — Build Interim Pricing Leadership Capabilities (image 9 of…

What Is Interim Pricing Leadership and When Should You Use It?

Interim pricing leadership capability provides experienced practitioners on a defined, time-bound basis to quantify the pricing opportunity, identify gaps in people, process, and technology, and accelerate the shift to effective price management. Over 75% of industrial mid-market firms lack the pricing infrastructure interim leaders install: governance, waterfall visibility, and systematic price management.

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What Are Pricing Quick Wins and How Do You Capture Them in Weeks? — pricing analytics chart: Pricing Quick Wins Strategy…

What Are Pricing Quick Wins and How Do You Capture Them in Weeks?

Pricing quick wins are targeted actions deployable in days or weeks—using existing data and lightweight governance—to stop margin leakage without a full transformation. They focus on tightening discounting, plugging price-waterfall leaks, and enforcing pricing discipline on high-impact customers, SKUs, and quotes. Over 60% of mid-market firms still discount manually, leaving leakage everywhere.

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Why Should You Treat Price Elasticity as a Competitive Advantage? — Price Elasticity Insights (image 2 of 2) | Revify…

Why Should You Treat Price Elasticity as a Competitive Advantage?

Price elasticity is the discipline of measuring how customer demand responds to price changes, replacing instinct with evidence from real buying behavior. Treating elasticity as a strategic capability (not just a metric) reveals where the business has true pricing power, which products can absorb increases, and where promotions deliver real incrementality versus subsidizing existing demand.

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Competitive Intelligence Analytics: Practical Ways to Make Better Pricing Decisions with Imperfect Data

How Do You Make Better Pricing Decisions With Imperfect Competitive Data?

Competitive intelligence analytics is the practice of making confident pricing decisions when external market data is incomplete, fragmented across ERPs and CRMs, and budgets for full systems are unavailable. The pragmatic approach combines partial competitive signals with internal elasticity and win/loss evidence, delivering better pricing decisions without waiting for a perfect dataset.

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What Did 2,000 Companies Teach Us About Taking Pricing and Profits to the Next Level? — Dec. 9 Updated Version Webinar…

What Did 2,000 Companies Teach Us About Taking Pricing and Profits to the Next Level?

This recorded webinar shares insights from Revify’s 2025 Revenue Growth Analytics Maturity survey of ~2,000 companies—covering why pricing still drives outsized profit gains, what separates High-maturity organizations, the most persistent pricing weak spots in mid-market firms, and four playbook ideas to advance pricing and analytics maturity inside your organization.

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Why enterprise RGM platforms fail mid-market firms: the Adoption Trap and expert-led partnership alternative

Why RGM Platforms Fail the Mid-Market (And How Expert-Led Partnerships Solve the Adoption Trap)

RGM platforms fail the mid-market because software alone cannot bridge the Adoption Trap—data overload leads to paralysis, not profit. Expert-led RGM partnerships solve this by pairing powerful analytics with the radiologist-and-surgeon expertise mid-market firms lack, delivering persistent P&L outcomes in days, not months, and converting tool investment into measurable margin recovery.

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Pricing Initiative

Budgeting for a High-Impact Pricing Initiative: Why Most Companies Miss the Mark

Most companies underbudget pricing initiatives despite a 1% price gain driving an average 6.4% operating-profit lift. The reasons: unclear ROI, fear of customer pushback, organizational silos, and treating pricing as an annual exercise. Aligning teams around diagnostic tools that quantify opportunity before committing budget removes the risk and unlocks high-ROI margin recovery.

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What Is Mid-Market AI Pricing and How Does It Deliver Accessible RGM? — Mid-Market AI Pricing for RGM Success (image 1 of…

What Is Mid-Market AI Pricing and How Does It Deliver Accessible RGM?

Mid-market AI pricing is the use of predictive analytics for revenue growth management at a cost and timeline mid-market firms can absorb—closing the gap between 7-figure enterprise builds and spreadsheet-based pricing. Accessible AI pricing combines managed analytics with expert guidance, stopping margin leakage in weeks rather than the multi-year transformations large enterprises pursue.

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10-day diagnostic sprint X-ray for commercial operations, pinpointing the largest profit leaks in mid-market

What Is a 10-Day Diagnostic Sprint and How Does It Find Your Biggest Profit Leaks?

A 10-day diagnostic sprint is a focused X-ray of your commercial operations that pinpoints the largest profit leaks—price-cost divergence, discount leakage, unprofitable SKUs, at-risk accounts—before any long transformation begins. The sprint delivers a CFO-ready opportunity register and simulation tools so leaders can act on the highest-ROI margin moves within two weeks.

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