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Nycdatascience

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Wine Purchasing Trends: A Data-Driven Analysis of Customer Behavior

  • This project explores wine purchasing patterns in e-commerce, examining how customer demographics, income levels, and shopping channel preferences influence buying decisions.
  • The analysis leverages a comprehensive dataset of 2,240 customer records across 29 variables, providing detailed insights into purchasing behaviors.
  • Key findings include a positive correlation between income and wine purchases, a negative correlation between presence of children and wine purchases, and the importance of maintaining a strong multi-channel engagement strategy.
  • Strategic recommendations include targeting higher-income customers with a premium wine membership program and enhancing multi-channel engagement through personalized catalog services and virtual tastings.

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