Many experts are touting the virtues of customer centricity as a valuable emerging business model, but there is a lot of confusion about what this concept means – and uncertainty about whether and how it can lead to greater profitability. We dive deep into the profitability question: given the risks and costs of becoming customer centric, how can it be more profitable than the more traditional product-centric approach? We carefully examine the tactical “building blocks” underlying customer centricity (i.e., customer acquisition, retention, and development), and point out some subtle but important insights about the interplay among them. We highlight a number of actionable suggestions to help managers make the most effective and efficient use of each of them.
As retailers and other firms strive to make more and better use of customer-level data to deliver meaningful and profitable customer relationships, they are starting to rely on a number of emerging methods, including machine learning and customer lifetime value. While both approaches are valuable, there is a lot of confusion about when and how to use each one. With that baseline understanding in place, we'll then dive into understanding customer lifetime value models, with a primary focus on theory balanced with light quantitative support as needed. At the conclusion of this session, you'll understand when and how to apply different models for different business decisions, and have greater confidence to communicate the motivations, modeling process, and outputs to your internal and external stakeholders.
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