A manager has been assigned to manage a digital marketing analytics team. The manager tasks the team with determining similarities in products purchased, location, and the average amount spent per order among existing customers in the company's database, such as similarities. Which type of activity will help the team accomplish this task?

Linear programming is a mathematical method for determining the best outcome in a given model, often used for optimizing resource allocation. While it is useful in various operational contexts, it does not focus on uncovering patterns or similarities in data sets, which is essential for the task at hand.

Regression analysis is a statistical method used to understand relationships between variables, particularly for predicting outcomes. Although it can provide insights into spending behavior or location influences, it does not specifically target the identification of patterns in customer purchase similarities across broad data sets, which is the core requirement of the task.

Touchpoint analysis focuses on evaluating customer interactions across various channels and stages of the customer journey. While this method can enhance customer experience and improve engagement strategies, it does not specifically address the need to analyze similarities in purchasing behavior, which is the team's primary objective.