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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.

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

Gabor Granger

This pricing method presents customers with varying price points for a product and asks their willingness to purchase, resulting in a demand curve that identifies optimal pricing for maximizing sales, revenue, and profit.

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Gabor Granger

Web scraping

Customer listening informs pricing and product strategy, while machine learning and AI analysis of online data provide competitive insights on how rivals set their prices.

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Web scraping

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business decisions

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