Online auction environments provide several sources of information that can be used by bidders to form their bids. The impact of this information on bidding is likely to be higher when ambiguously specifi ed products are auctioned. The secondary market represents one such environment, where used and returned items from big-box retailers are auctioned off to other business buyers. Using a proprietary dataset of secondary market auctions hosted on an online B2B platform, we study how market pricing information from other auctions for comparable products a ffects the bidding behavior of the first bidder. First bidders are shown to be influenced by two sets of pricing information: prices from their own historical bidding behavior and concurrent prices, formed from other open and just-finished auctions relative to the focal auction. We also study how the impact of these market pricing information are moderated by bidder heterogeneity, captured by bidder experience and cross bidding activity on the platform across comparable concurrent auctions. Finally, we show the fi rst bid is signi cantly associated with the auction's nal price, contingent on the type of first bidder. Auctions are increasingly being used for the sale of ill-defi ned and idiosyncratic products; our work thus provides managerial implications for how auctioneers may design and manage the flow of relevant information to di erent classes of bidders on their sites in order to enhance their yields.