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.
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.
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.
