Several companies have outsourced the development and operation of online technology to procure goods. Some have found success in using a third-party to host online auctions for such transactions. This paper presents an analysis of the cause of low aggregation of timber supply in reverse auctions of an online timber exchange. Unlike previous research results regarding timber auctions that focus on offline public auctions held by the U.S. Forest Service, we study online private auctions between logging companies and mills. A limited survey of the online auction data revealed that the auctions were successful less than 50% of the time. Regression analysis is used to determine which internal and external factors to the auction affect the aggregation of timber in an effort to determine the reason that so few auctions succeeded. We present key factors on which to gather and store information for analysis of market dynamics.