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Wharton - University of Pennsylvania : Customer Analytics

  • Learned how to collect, interpret, and analyze customer behavior data to inform marketing and business strategy

  • Explored descriptive, predictive, and prescriptive analytics in customer contexts—including forecasting, regression, optimization, and model-based decision-making

  • Applied tools such as regression analysis, spreadsheets/Excel-based models, and data collection/interpretation frameworks to predict customer lifetime value, respond to customer needs, and optimize revenue strategies

  • Studied real-world case studies showing how top firms (e.g. Amazon, Starbucks, etc.) use analytics to drive customer-focused marketing and personalized decision making

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Tools & Techniques:

  • Regression analysis & predictive modeling

  • Customer lifetime value (CLV) calculations

  • Segmentation and targeting frameworks

  • Spreadsheet/Excel-based models

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