Auto-segmentation

A method comprising:

• tracking customer interactions of multiple customers over a network to obtain event-level records associated with the multiple customers, wherein the event-level records comprise event-level attributes and product attributes for a plurality of different products, and wherein the event-level attributes include browser information;
• combining, via a summarizing engine, the event-level records into individualized customer-level records, each individualized customer-level record corresponding to each customer identified by a unique customer ID, and wherein each individualized customer-level record includes columns corresponding to the event-level attributes, the product attributes, and at least one aggregate attribute representing a plurality of the event-level attributes;
• removing at least one column of the individualized customer-level records based on the column having sparsely populated values or little variance in the values of the column to obtain a reduced individualized customer-level records;
• clustering the reduced individualized customer-level records into a plurality of segments based on common attributes in the reduced individualized customer-level records, each segment representing a set of customers having an identified common attribute;
• comparing, via an attribute selection engine, each of the plurality of segments across common attributes to identify distinguishing attributes having significantly higher or lower value per customer;
• and
• presenting to a display, via a user interface engine, one or more distinguishing attributes and each customer associated with the one or more distinguishing attributes upon attribute selection at a user interface by a user.