Profiling auction assets and/or participants to predict auction outcome
A profile of one or more users of the online auction environment is developed. The profile of each user can be based at least in part on historical auction activity of that user. An auction of the online auction environment that is in progress is monitored. A prediction is determined as to whether the auction will be successful based at least in part on the profile of the one or more users that are participating in the auction.
1. A method for conducting an auction in an online auction environment, the method being implemented by one or more processors and comprising:
developing a profile of one or more users of the online auction environment, the one or more profiles of each of the one or more users being based on historical auction activity of that user;
monitoring an auction of the online auction environment that is in progress;
detecting, for at least one of the one or more users, a non-bidding interaction with a corresponding bidder interface component wherein the non-bidding interaction with the corresponding bidder interface component comprises at least one of: hovering over a bid submission button of the bidder interface, entering a bid into the bidder interface and withholding a submission action, and monitoring a page on which the auction is provided; and
determining, while the auction is in progress, a prediction of whether the auction will be successful based at least in part on the one or more profiles of the one or more users that are participating in the auction and the least one or more non-bidding interactions, wherein the one or more users are bidders of the auction.
2. The method of claim 1 , wherein determining the prediction of whether the auction will be successful includes determining the prediction corresponding to at least one of (i) whether a top bid for the auction will exceed a reserve price for the auction, or (ii) whether a transaction of the auction will be completed after the auction is complete.
3. The method of claim 1 , further comprising communicating with a seller of the auction to suggest a reserve price of the auction based on the prediction.
4. The method of claim 3 , further comprising communicating with the seller of the auction to lower the reserve price.
5. The method of claim 1 , wherein the historical auction activity of the one or more users of the online auction environment includes prior bidding activity of each of the one or more users.
6. The method of claim 5 , wherein developing the one or more profiles includes determining for one or more users one or more of a range, mean, or median of each user's bids.
7. The method of claim 5 , wherein analyzing the prior bidding activity includes determining, for at least one of the one or more users, one or more of (i) a number of bids that user made in one or more prior auctions, (ii) a number of times that user provided a bid that exceeded a reserve price of one or more prior auctions, or (iii) a number of times that user provided a highest bid in one or more prior auctions.
8. The method of claim 1 , wherein developing the one or more profiles includes generating a score for each user that assesses that user as a bidder.
9. The method of claim 1 , wherein developing the one or more profiles includes making a determination as to whether each user previously provided a highest bid to win a prior auction, but then failed to complete a transaction of the prior auction.
10. The method of claim 1 , wherein determining the prediction includes outputting an indication of a probability that the auction will be successful for at least one or more users.
11. The method of claim 1 , wherein the auction is for a real-property asset.