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Corporate Training Programs

Build in-house pricing and analytics muscle. Our hands-on programs—led by practitioners, not academics—equip your teams to own price optimization, customer analytics, and revenue management.

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Advanced Price
Analytics Program

This 3-day intensive program (in-person or online) dives deeper into advanced pricing analytics and promotional optimization concepts, incorporating examples using R and Python machine learning algorithms.

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Advanced Sales & Marketing Analytics

This 3-day in-depth course explores advanced sales & customer analytics, predictive modeling techniques, and marketing spend optimization strategies with hands-on sessions in R and Python.

Business analytics and data visualization for corporate training programs.

Custom Revenue Growth Analytics Program

A customized training program designed to meet your organization's unique needs, combining advanced sales, customer analytics, and price analytics & optimization strategies for accelerated revenue growth.

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

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Insights and Resources

Modern CPG RGM dashboard by Revology Analytics for data-driven decisions.

Dashboards to Decisions: The Modern CPG RGM Navigator

Most CPG RGM teams don’t have a data problem. They have a navigation problem. Join Armin Kakas and Enrico Sieni for a 60-minute educational webinar on the modern CPG Pricing & RGM Analytics Navigator. Six modules, five narrow AI agents, the 120-day pilot path. Every registrant gets the whitepaper the week after.

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Revenue growth analytics dashboard for plant-based creamer brand.

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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Data analytics process for strategic pricing in market growth management.

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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