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Customer Management Dynamics and Cohort Analysis is a term used in various industries to refer to the management of customers. It involves understanding how customer behavior, preferences, needs, and psychographics impact the growth, expansion, and retention of a business. Cohort analysis is the process of grouping together customers over time in different situations to gain insights into how customer preferences change over time. It involves examining customer behavior over a period of time to understand how they behave differently during specific periods (such as during an event or after a product launch) and what causes them

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Elie Ofek’s article “Customer Management Dynamics and Cohort Analysis” (2013) is a good overview of the literature on CM. He presents the concepts in an organized manner. His first major contribution is in the discussion of how CM impacts a company. He emphasizes that CM’s potential value is largely about customer cohorts, which are groups of customers who exhibit distinct traits and preferences. Ofek notes that CM provides a method for analyzing cohorts and identifying areas of differentiation among them

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Customer management is an essential aspect of any company’s overall success. Companies that successfully manage their customers gain an edge on their competitors and have a more significant competitive advantage. Cohort analysis helps to identify the stages that contribute to loyal customers and also to identify the factors that lead to their conversion. This case study explores the customer management dynamics and cohort analysis methodology. I worked as a project manager for a successful e-commerce company. The company’s core product was a new digital platform that offered a range of services. i loved this The services included online shopping,