  We consider an auction of identical digital goods to customers whose
valuations are drawn independently from known distributions. Myerson's classic
result identifies the truthful mechanism that maximizes the seller's expected
profit.
  Under the assumption that in small groups customers can learn each others'
valuations, we show how Myerson's result can be improved to yield a higher
payoff to the seller using a mechanism that offers groups of customers to buy
bundles of items.
