What should a consultant use to remove customers who have made purchases within the last week?

The use of segmentation exclude rules is fitting for removing customers who have made purchases within the last week because segmentation involves categorizing data based on specific attributes or behaviors. By applying exclude rules, a consultant can effectively filter out customers who meet the criterion of having made a recent purchase, thus tailoring the dataset to include only those customers who have not purchased within that specified timeframe.

In context, while other options like branch transforms or streaming insights may provide ways of organizing or analyzing data, they do not specifically target the requirement of excluding a defined group from a dataset based on recent activity. Related attributes might assist in adding context or further defining segments but do not facilitate direct exclusion based on recent purchase behavior. Thus, segmentation exclude rules are the most appropriate choice for achieving the goal of managing customer data effectively in this scenario.