U.S. Soccer Federation invited select graduate students to attend a conference at FC Dallas.

Students were to analyze the limited e-Commerce data provided by US Soccer and propose recommendations on how to increase sales for the upcoming 2026 FIFA World Cup.

I leveraged R to analyze the data provided by US Soccer and identified a reoccurring identifier, which I determined to be a customer ID based on purchasing behavior. This identifier became the key concept of the document to analyze what products were most popular, in what order they were purchased, and how best to market the items to New vs Repeat customers.