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Revology Analytics

Case Studies
Enrico

Rebuilding Pricing and Promotion Analytics for a Global Data-Storage OEM

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.

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Case Studies
Armin

Unlocking Pricing Power for a Global Pharmaceutical Manufacturer in Emerging Markets

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.

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Case Studies
Enrico

Operationalizing Revenue Growth Management Analytics for a Leading Plant-Based Creamer Brand

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.

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Live webinar on turning pricing data into profit by Revology Analytics.
Video and Webinar Recording
Armin

Turn Pricing Data Into Profit

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

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Insights
Armin

AI Won’t Fix Your Pricing Strategy. This Will.

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.

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Circular chart showing 2025 RGA maturity levels with percentages for each category.
Articles
Armin

How Hidden SKU Profitability Is Dragging Down Your Distribution Business (And How to Fix It)

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.

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Data-driven pricing strategies for maximizing value and profitability.
Articles
Armin

How Strategic Price Customization Recaptures Value

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.

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Illustration of AI pricing tools with growth and financial icons.
Insights
Armin

Stop asking for an “AI Pricing Tool.”

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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Articles
Armin

The Role of Pricing & RGM In Managing Customer Churn

B2B customer churn can silently cripple growth, but many companies overlook its impact and fail to predict it effectively. This blog reveals how embracing proactive, data-driven strategies, especially through Pricing & Revenue Growth Management (RGM), can transform your approach from reactive damage control to strategic, profitable retention. Discover how advanced analytics can help you identify churn risks, optimize pricing, and unlock hidden growth opportunities, safeguarding your P&L and empowering your sales teams.

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Have a Revenue Growth Analytics pain point, a question, or a content suggestion?

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