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™.
This guide provides pricing, RGM, category, and commercial finance leaders with practical methods to measure and address substitution and complement effects across a product portfolio.
A Fortune 500 global data-storage OEM was bleeding margin in its $200M U.S. B2C hard-drive business. One flagship family had taken a substantial net-pricing hit year-over-year, and roughly 45% of historical promos were returning only 0 to 20% ROI. Revology rebuilt the pricing and promotion analytics from the ground up using causal Double Machine Learning, a retailer-math ROI model, and a three-archetype segmentation framework. The target: $3M to $6M of incremental EBITDA (a 10x to 20x return on the engagement) within 12 months.
A Fortune 500 global pharmaceutical manufacturer was making emerging-market pricing decisions by feel. We built a repeatable Pricing Quick Wins engine across four pilot markets, grounded in causal elasticity modeling, automated competitive equivalence mapping, and price-pack architecture and inflation-aware simulators. The pilots identified around $8M of median revenue opportunity, with a best-case of ~$12M. Local teams now own the engine and can repeat the analysis annually as inflation and the competitive set shift.
A leading plant-based creamer brand wanted real visibility into more than $13 million of annual trade spend and a credible way to forecast promo ROI before writing checks. We built the Revenue Growth Management analytics engine for them in Python and Power BI, running on their existing stack. The team now refreshes pricing, promo, and revenue/gross profit performance deep dive models in 10 to 20 minutes and catches variance the old process missed by weeks.
Overview: Pricing problems in Practice This article from Revology Analytics explains pricing problems in the context of modern pricing analytics and revenue growth management. It
AI in Pricing: Hype vs. Reality. What Every Pricing Leader Needs to Know Before Investing in AI. March 26, 2026 | 12:00 – 1:00 PM EST | Live Webinar (Zoom)
Overview: Competitive intelligence in Practice This article from Revology Analytics explains competitive intelligence in the context of modern pricing analytics and revenue growth management. It
Overview: Turn in Practice This article from Revology Analytics explains turn in the context of modern pricing analytics and revenue growth management. It draws on
While many leaders are seduced by the promise that a sophisticated AI tool can solve their pricing problems, this illusion of innovation is a dangerous trap. A fancy algorithm will never substitute for a sound, human-led strategy, a solid data foundation, and strong commercial execution. Lasting success comes not from outsourcing your thinking to a black box, but from building a durable, in-house capability that empowers your team to win.
Are you seeing revenue climb while margins get squeezed? Your distribution business is likely caught in the “Portfolio Trap,” where high-volume but unprofitable SKUs secretly drain your bottom line. This article diagnoses the problem, revealing how a lack of granular data and reliance on outdated pricing models hide the true costs eroding your profits. Discover how to fix this by focusing on SKU profitability, enabling you to identify and manage these hidden drags to drive real financial growth.
Many businesses unknowingly lose significant profit through complex discounts and a failure to base prices on customer value, a phenomenon known as the “Leaky Pricing Waterfall.”
A mere 1% improvement in price realization can increase operating profit by a median of 6.4%, yet most companies only achieve half of their planned price increases. By building an in-house capability with a causal data foundation and a price customization framework, companies can transform this profit leakage into a powerful engine for growth.
For B2B firms in industries like wholesale, distribution, and manufacturing, the idea that AI in pricing is a magic black box can quickly become an investment sinkhole and a strategic dead end. Before thinking about AI, you must confront the two beasts that kill nearly every pricing initiative: Cross-Functional Chaos and The Profitability Mirage. Fancy algorithms do not drive pricing success—getting the basics right is.
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Centered on proven best practices, Revology Analytics® provides Revenue Growth Analytics advisory services and thought leadership, driving profitable revenue growth for middle-market companies.
Over 225 companies took our scorecard to improve their Revenue Growth Analytics & Management capabilities.
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