44. A process implemented across a network having one or more publishing sites correspondingly associated with at least one publishing entity, each of the publishing sites comprising at least one publisher page having publishing content that is displayable to any user of the publishing site, and at least one available ad space, the process comprising: providing at least one processor that is programmed to perform the steps of: storing a plurality of anonymous profiles that are associated with a plurality of users; receiving a catalog file from an advertiser entity across the network, the catalog file comprising a plurality of asset records, wherein each of the asset records comprises a plurality of fields correspondingly associated with an asset; receiving from the advertiser entity one or more action objectives associated with the assets; assigning bids for the received action objectives associated with the assets, wherein the assigned bids correspond to a price corresponding to an accomplishment of a corresponding action objective; analyzing one or more of the fields that correspond to each of the asset records; storing the analyzed asset records; automatically producing ads corresponding to the analyzed asset records, wherein the produced ads include the analyzed fields; statistically matching a user at a user terminal with one of the stored plurality of anonymous profiles, wherein the matching is at least partially based upon known information about the user, wherein the known information comprises any of location, gender, age, interests, purchases, usage patterns, or other prior actions by the user; predicting a response to the ads by the user, wherein the prediction is at least partially based on the matched stored profile and at least one of the analyzed fields associated with the automatically produced ads and any of the analyzed publishing content and the analyzed ads received from the advertising entities, and wherein said prediction comprises a predicted impression revenue; determining one or more of the best stored ads based on the predicted impression revenue and an observed effective impression revenue of the stored ads, wherein the processor is programmed to track a past number of impressions and resulting actions and to estimate the observed effective impression revenue of the stored ads; and wherein the processor is programmed to apply a blending function B to the predicted impression revenue p, and to the number of impressions i and number of resulting actions a: 
 B ( p,i,a ) wherein for each impression i and the resulting action a, the observed effective impression revenue of the stored ads is are tested for statistical significance against the predicted effective impression revenue p, wherein when the statistical significance exceeds a predetermined threshold, the processor is programmed to use the observed effective impression revenue of the stored ads as the determined effective impression revenue of the stored ads; otherwise, the processor is programmed to use the predicted effective impression revenue of the stored ads; and sending one or more of the automatically produced ads for presentation to the user, based upon the prediction.
53. The process of claim 44 , further comprising the step of: determining an ad format for one or more of the ads.