To understand customers, you need to understand their motivations. This requires more detailed modeling and analysis that differentiates between customers. The problem here is not with statistics, it is with the limited way that statistics is usually applied. Given that each snowflake is different, most tools simply aggregate them together and talk about them as so many inches of snow. A new kind of tool is one that can differentiate between snowflakes based on the stories of their formation.
Most statistics try to classify events.
When dealing with web customer data, a statistical system may classify the number of visits by one customer or the time of visit. Statistics in this case fails to capture the motivation behind the visits. It is this motivation that is central to understanding the customer. Understanding customer motivations Behavior is linked to motivation. When a customer clicks on a particular link, we know that he or she was motivated to do so.