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Segmenting customer data into cohorts challenges existing practices in customer data analysis by providing a more nuanced and detailed understanding of customer behavior. Traditional data analysis often treats the customer base as a single entity, which can overlook significant differences and trends within subgroups. Cohort analysis, on the other hand, groups customers based on shared characteristics or behaviors, such as spending habits, product usage, or acquisition channels. This allows businesses to tailor their strategies to specific customer groups, potentially leading to more effective marketing and improved customer retention.
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This requires a deep dive into customer data to unearth insights. Consider segmenting customer data into cohorts. For example: customers who spend the most money on your products, versus those who spend the least. Then, ask questions about those customers and answer with data, as well as with qualitative interviews.
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