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

Regression analysis is a statistical method used to examine the relationship between dependent and independent variables. While it can help in understanding factors affecting customer spending, it does not focus specifically on discovering patterns or similarities across a dataset, which is essential for this task.

Touchpoint analysis evaluates customer interactions at various stages of their journey with a brand. Although it provides insights into customer experience, it does not systematically analyze similarities among customers based on purchasing behavior, location, or spending. This method is more focused on customer engagement rather than data pattern discovery.

Linear programming is an optimization technique used to achieve the best outcome in a mathematical model. It is more applicable in resource allocation and scheduling problems rather than in analyzing customer data for similarities. Therefore, it does not serve the purpose of identifying patterns among existing customers.