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Overcoming Growth Headwinds: AI/ML-Driven Strategies for Revenue Optimization in Distribution

The distribution industry faces unprecedented challenges—market saturation, heightened competition, and changing customer expectations—that are stifling growth and profitability. While Artificial Intelligence (AI) and Machine Learning (ML) are often hailed as game-changers, their true value lies in strategic, practical applications.

This blog explores how distributors can leverage AI/ML to optimize pricing, retain customers, and capitalize on cross-sell opportunities. By addressing key issues such as price realization gaps, customer churn, and missed revenue opportunities, distributors can overcome growth headwinds and accelerate profitable growth.

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Webinar Recording, Video Armin Kakas Webinar Recording, Video Armin Kakas

Smart Pricing and Revenue Growth Management for Auto Service, Repair and Tire Retailers

Join us for an insightful session as we explore smart pricing and analytics strategies tailored for tire & repair shops. Learn how to optimize pricing and discounting to drive car count, sales, and enhance profitability. This webinar is especially geared toward multi-location, regional, or super-regional/national retailers, as well as private equity operators in the space, looking to drive profitable growth.

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Driving Pricing and Discounting Discipline with Margin Analytics (in Tableau)

Discover how to build a B2B Margin Analytics & Optimization platform in Tableau, addressing key pricing and discounting challenges. Learn to identify Gross Profit drivers, coach your Sales team, and optimize discount strategies to boost Net Sales and profitability. Watch now for actionable insights and practical solutions.

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RA Quick Insights: Smarter Discounting for B2B

Discover how strategic discounting transforms customer engagement and drives profitability in this week's Revology Analytics Insights video. Learn to tailor discounts effectively, ensuring sales growth and customer loyalty without compromising your bottom line.

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Case Studies Armin Kakas Case Studies Armin Kakas

Optimizing Medical Device Gross Profits with Dynamic B2B Margin Analytics Platform - Case Study

This case study explores how a prominent med-tech company revolutionized its margin management by developing an in-house Dynamic B2B Margin Analytics Platform. Faced with challenges such as limited visibility into pricing and margin drivers and inconsistent discounting practices, the company recognized the need for advanced pricing analytics capabilities. Partnering with Revology Analytics, they embarked on a strategic journey to enhance their pricing analytical acumen, aiming to improve net price realization and address revenue leakages. The case details the transformative impact of this initiative, demonstrating the effectiveness of co-creating an in-sourced solution with internal stakeholders, using an existing tech stack like Tableau for powerful visualization and scenario analysis capabilities.

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Solving Unproductive Inventory Challenge with Dynamic Markdown Pricing - Case Study

Learn how a leading North American consumer durables distributor improved liquidity and profitability with Revology Analytics' Markdown Price Optimization solution. Discover how the solution increased Gross Profit by 5% annually, enhanced inventory liquidity by 30%, and saved significant labor hours for pricing and sales teams. Explore the benefits of advanced inventory management for sustained growth and financial stability.

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(All I want for Christmas is) better discounting habits!

A brief guide for Manufacturers and Distributors to boost profits by 5-10% using simple, effective pricing and analytics techniques.

If you're a manufacturer or distributor, you know that discounting is vital to the success of your sales force. But are you discounting enough? Are you discounting too much?

This article will discuss the importance of discounting in B2B settings and how to determine the right discounts for your customers and products. We'll also discuss when to use each type of discount and offer tips for increasing Net Revenue and Gross Profit with analytics and surgical discounting.

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How to Build Transformative Margin Optimization Capabilities in 90 days: Part 1

Most mid-market companies are still stuck with basic reports and ad-hoc Pricing & Profitability analyses that take several weeks, offer little actionable insights, and are not reproducible. There is also a widespread misconception that it takes heavy upfront investment (both time and money) to build Margin Analytics & Optimization platforms that can truly transform an organization's Pricing discipline and customer & product analytics rigor.

Regardless of your company's growth stage, it is paramount that you have an easy-to-use and actionable Margin Analytics platform that provides rapid descriptive (what happened), diagnostic (what caused it), and predictive (what will be the impact) analytics capabilities.

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Is too much discounting preventing you from meeting profitability targets?

Price leakage is a big problem for most Manufacturers and Distributors and can have a considerable adverse effect on their Operating Profits. One of the big reasons price leakage occurs is not having an adequate Margin Analytics Platform deployed and used across the organization. This means no effective measurement systems track discounts and rebates versus guidelines or strategies.

In this brief guide, we will discuss how to build a robust in-house solution, leveraging standard technologies you are familiar with. Most executives in charge of Pricing/Margin are hesitant to go down the margin analytics platform path, thinking it will take years and $ millions to implement. We will show you how to achieve 80-90% potential value realization using simple techniques and analytical methods.

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Driving Sales & Margin Performance with Self-Serve Analytics

Many middle-market companies are struggling to do action-oriented Commercial Analytics on a real-time basis. Understanding Sales, Pricing, and Margin performance vs. corporate objectives and strategies, along with proactively identifying and quantifying quick wins for improvement, is often a multi-day reactive, knee-jerk exercise. Pricing, Finance, and Commercial leaders are reticent to invest $MMs in turnkey price analytics solutions given high costs and long lead times – not to mention lack of flexibility and adoption issues that often yield a suboptimal return on investment.

Fortunately, you can do most of the above quickly, effectively (and cheaply!) using popular self-serve BI solutions like Tableau or Power BI.

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