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.
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.
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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