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Team of professionals working together at Revology Analytics for data-driven solutions.

Mariona Baneras

Sr. Data Scientist

About Mariona

Mariona is a physicist and data scientist with a research background and more than eight years of industry experience. She has worked with various companies ranging from digital startups to global insurance firms. Throughout her professional journey, Mariona has helped companies achieve success in their pricing and revenue management endeavors by providing impactful data-driven solutions and rigorous analysis.

Early in her career, she honed her consulting skills in corporate strategy and intrapreneurship. Mariona has developed a strategic mindset that allows her to deliver tailored solutions to clients’ unique challenges.

Mariona possesses several core strengths:

  • Advanced analytics expertise: Mariona leverages statistical and machine learning techniques to optimize pricing and promotions, forecast demand, and empower decision-makers to drive business growth.

  • Data visualization proficiency: Mariona has a passion for designing intuitive, visually stimulating data visualization solutions that drive adoption and help discover key insights.

  • Technical know-how: Mariona has a strong foundation in development and project management, enabling her to automate critical processes and seamlessly integrate systems for enhanced operational efficiency.

Recent Articles

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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