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Decision tree analysis

Decision tree analysis is a popular and widely used tool in data analysis, machine learning, and decision-making processes. It’s a graphical representation of a decision-making model or, in other words, what drives choice, often used to understand the different types of customers in terms of their likelihood to buy or consider a product.

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.

Path-to-purchase

The path to purchase encompasses the entire journey from recognizing a need to using the acquired product, and through market research, we identify key triggers and touchpoints to inform our marketing and commercial strategies.

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Path-to-purchase

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

Transactional data analysis

Prioritizing customer feedback over transactional data aids in accurate predictions. Analyzing data correlations using machine learning refines market strategies, but past data has its limitations.

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Transactional data analysis

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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.