I believe the parent poster meant that the classifiers that train into the baked-in categories are trained like a spam filter and use cross-account global knowledge. In other words, it's a model that works if there's a small number of buckets and a huge dataset to train the bucket-targeting against and breaks down if every individual user has their own buckets with their own conflicting understanding of what those buckets should contain.