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Transactional data analysis

Why listen to customers while a mass of transactional data, such as sales data, is available? Or, what can we learn from the past to better predict the future? We recommend starting any need for customer and pricing understanding by analysing available data. We measure the correlation between sales and product features, including price, through machine learning methodologies. The more data available, the more accurate prediction models will be, plus it allows us to develop market mix models. Transactional data analysis has limitations, especially if future product changes are not represented by the past.

Our trusted
methodologies

At boobook, our core values shape our culture and drive our approach to solving complex business problems. These values are the foundation of our success and define who we are as a team.

Brand value analysis

Brand and price strategy reviews should assess the alignment between brand value and price, often visualized in a value map, to understand current positioning and make informed pricing recommendations.

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Brand value analysis

Conjoint analysis

Conjoint is an elite pricing tool that gauges consumer preferences and product elasticity. Its simulator identifies optimal pricing for maximum profit.

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Conjoint analysis

Decision tree analysis

Decision tree analysis is a versatile tool in data analysis and machine learning that graphically models decision-making factors, commonly employed to segment customers based on their likelihood to purchase a product.

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Decision tree analysis

Make better
business decisions

Explore our success stories and learn how we've successfully helped different businesses. Or get in touch with us to schedule an introductory call.