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™.
If you are a ~$1B Manufacturer or Distributor that spends ~ 15% of its Gross Revenues on Promotions & Rebates, every 50bps improvement in your Promo ROIs will drive +$0.75MM to your EBITDA. Let me describe the steps to take to enable these capabilities for your organization.
Overview: Seasonality in Practice This article from Revology Analytics explains seasonality in the context of modern pricing analytics and revenue growth management. It draws on
Part 1: Using Gross Margin % vs. Net Sales Customer Matrix to segment customers into actionable Sales & Pricing performance clusters.
Have you ever offered a deep Price Discount in December in hopes of accelerating 4Q and YE target achievement, only to drive Unit Sales but suffer huge Gross Profit losses?
If you haven’t tried #bayesian analysis to attack common business problems, I highly encourage you to explore it.
Companies’ data science curve often starts with linear regression before a giant leap to ML within weeks or months (ensemble models, even some deep learning).
In pragmatic terms, the power of Bayesian modeling comes from being able to assign probability intervals to predictions.
Commercial Analytics, aimed at improving Gross Profits and Sales Productivity, doesn’t have to be complex to drive the proper outcomes with Pricing and Sales teams.
𝐒𝐚𝐥𝐞𝐬 & 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭𝐢𝐧𝐠 𝐒𝐭𝐚𝐜𝐤 𝐑𝐚𝐧𝐤𝐢𝐧𝐠 is another simple yet effective Revenue Analytics technique to steer Sales behavior in the right direction and drive incremental Net Sales (and Gross Profits).
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.
I often see Manufacturers and Wholesalers making the mistake of trying to revolutionize entrenched Customer habits vs. creating easy-to-use, pragmatic analytics solutions that Customers understand and care about.
This week, we’ll dive into another foundational but influential Margin Analytics technique, the Gross Profit Growth Decomposition using raw Transactional Data.
Commercial Analytics in B2B environments is a team sport: you need to win the trust and credibility of the Sales Team to accelerate the impact of analytics and drive sustainable Pricing and Data ROI for your company.
Read this brief opinion piece on why listening to and collaborating with your Sales teams is not optional – it’s essential.
This week, I wanted to show you another simple yet effective revenue analytics technique to steer sales behavior in the right direction and drive Gross Profits.
Why is it essential to understand the business impact of Price changes and Promotional investments, and what are the analytical approaches to estimating Price elasticities?
With continued data proliferation and the democratization of popular Machine Learning methods among the data analyst community, knowing your Price and Promotional elasticities at the Customer-Product level is fundamental to Finance, Sales, and Revenue management.
Have a Revenue Growth Analytics pain point, a question, or a content suggestion?
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