Skip to Content
Enter
Skip to Menu
Enter
Skip to Footer
Enter

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.

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.

Discover
Gabor Granger

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.

Discover
Decision tree analysis

Segmentation

Segmentation analysis divides a diverse audience into targeted groups for customized marketing strategies, using various analytical methods to ensure actionable insights for business teams.

Discover
Segmentation

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.