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Marketing, method, and analytics

Senior expertise to interpret complexity and drive growth.

We don’t sell numbers; we provide the expert interpretation that turns them into business decisions.

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Our story

From 2010 to today: our evolution in MMM models

Core Analytics is an independent boutique consultancy specializing in marketing, measurement, Marketing Mix Modeling, and decision intelligence for CMOs and CFOs.
We combine quantitative rigor, business consulting, and data science to transform complex data into clearer choices regarding budgets, scenarios, and growth.

FMCG & Pharma

2010

The origins

Framework validation in high-complexity FMCG & Pharma sectors.

Finance

2012

Expansion

Extension of predictive models to the Finance & Banking world.

Omnichannel

2015

Integration

Strategic evolution toward the Omnichannel approach.

Multi-country

2026

Global scale

Consolidation and deployment of Multi-country models.

The team

A senior team, close to business questions

Founders, data scientists, and senior professionals work directly on projects, combining quantitative rigor, consulting experience, and the ability to transform models into concrete tools.

Ramon Soranzo

Co-founder Econometric Modeling & Marketing Effectiveness
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Provides clarity where data increases uncertainty and decisions become more critical. Graduated with honors in Mathematics, with over 20 years of experience across consulting and international networks, he develops econometric models and systems to optimize the marketing mix and guide investment allocation.

He has contributed to the development of advanced approaches for measuring advertising effectiveness, with a focus on behavioral dynamics and decision-making processes applied to marketing.

Transforms data complexity into more solid, informed, and defensible decisions.

Nevio Leone

Co-Founder - Statistical Modeling & Decision Systems
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Designs models and decision systems that make the effectiveness of marketing investments measurable. Graduated with honors in Statistics, specialized in Market Research and with experience gained in international research and communication networks, he combines statistical depth with practical pragmatism.

At Core Analytics, he leads the development of Marketing Mix Models and advanced solutions that integrate statistical rigor, methodological independence, and the opportunities offered by artificial intelligence.

Structures complexity into models that make decisions more solid and measurable.

Davide Zinghini

Head of Data Science - Analytics Engineering & Visualization
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Develops and operationalizes analysis models, transforming complex outputs into clear, usable tools to support business decisions.
With a background in Economics and Data Science, he applies machine learning techniques and data management solutions to build solid, scalable analytical systems.
At Core Analytics, he leads the development of dashboards, visualization systems, and tools that make results interpretable, accessible, and continuous over time.

Makes models usable, bringing analysis into the heart of decision-making.

Business Case and field results

Over 15 years of econometric modeling applied to real-world decisions: media mix, incrementality, promotions, direct response, and forecasting. Discover how we turn measurement into a competitive advantage.

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Sectors where we have experience

We have worked with leading companies in very diverse markets, adapting models to the specific dynamics of each sector: purchase cycles, seasonality, competitive pressure, channels, and promotional levers.

This experience helps us read data with more context and transform it into decisions that better align with real business dynamics.

FMCG

Online Travel

Pharma OTC

E-Commerce

Real Estate Operators

Beauty Care

Finance, Bank & Insurance

Automotive

Retail Stores

Online Marketplace

Want to understand what your data is really telling you?

We start from business questions, evaluate the quality, granularity, and depth of available information, and define the most suitable methodological path to isolate the marketing contribution.

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