News
From segmentation to hyper-personalization… the use of machine learning in marketing communications
The modern consumer is constantly bombarded with messages. Competition for ever-shorter attention spans is bloody, and it’s all about leveraging every possible advantage. How can data science help in the successful battle to get a brand’s message to consumers?
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What problems can be solved with Data Science?
Many companies have already successfully implemented smart solutions in marketing departments, using data and its advanced analytics. The use of data science solutions increases the efficiency of operations, reduces costs, optimizes budgets and improves ROI. Wanting to remain competitive, other companies need to catch up with the leaders as quickly as possible.
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Predictive modeling vs. customer satisfaction measurement
Customer churn is one of the key challenges facing organizations in today’s highly competitive environment. In order to effectively combat customer churn, companies should find answers to two key questions: which customers are at risk of churning, and what actions can be taken to stem the process.
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Growth or cannibalization? Success or failure of promotion?
Promoting a product, especially one that involves a reduction in its price, almost always results in an increase in sales. But does every increase mean that the promotion was profitable? How often does the promoted product take customers away from other substitute products? How to calculate how much is the actual “incremental” of the action?
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