Abstract: The present invention provides a “Keyword Automated Bidding System” which, among other things, provides an intelligent system for bidders for a ranking in web search results list to determine bids and bidding strategies that maximize return on bid investments and help direct allocation of available funds for bids to keywords that lead to more optimal returns. In one possible embodiment, the present invention is designed to generate a scalable solution to the problem of selecting the proper set of keywords to bid and the proper values of such bids for thousands of keywords on third party sites such as Overture and Google.com. The satisficed solution is generated according to operator-defined model constraints and utility functions. In one embodiment, KABS maximizes profit by maximizing the Margin Rate to a bidder which is the difference in the aggregate Revenue per Redirect (RPR) from the merchants and the Cost per Click (CPC) we must pay the traffic source.