22. 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; analyzing the displayable publishing content; storing the analysis of the publishing content; receiving one or more selectable objectives associated with one or more network sites from one or more advertiser entities; receiving a bid price correspondingly associated with each of the selectable action objectives assigned by the respective advertiser entities; receiving and storing one or more ads associated with the network site from the respective advertiser entities; analyzing the ads received from the advertiser entities; receiving from a user terminal across the network an automated ad request for one or more ads associated with a display to a user of one of the publisher pages at the user terminal, the publisher page to be displayed comprising the displayable publishing content and one or more of the available ad spaces; and determining if the analyzed publishing content is ready for matching to the stored ads; wherein if the processor determines that the analyzed publishing content is ready for matching to the stored ads, the processor performs the steps of: matching the automated ad request to at least a portion of analyzed publishing content for the publisher page to be displayed; statistically matching the user to one of the stored plurality of anonymous profiles, using known information associated with 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 any of the analyzed publishing content and the analyzed advertising 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 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 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; wherein when the statistical significance equals or is below said predetermined threshold, then the processor is programmed to use the predicted effective impression revenue of the stored ads; and sending one or more of the determined stored ads to the user terminal or integration with the publisher page to be displayed; and wherein the processor performs the step of transmitting an ad of a determined general relevance to the user terminal for integration with the publisher page to be displayed if the analyzed publishing content is not ready, wherein the processor performs the step of determining general relevance based upon any of publisher selection or system analysis.
22. 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; analyzing the displayable publishing content; storing the analysis of the publishing content; receiving one or more selectable objectives associated with one or more network sites from one or more advertiser entities; receiving a bid price correspondingly associated with each of the selectable action objectives assigned by the respective advertiser entities; receiving and storing one or more ads associated with the network site from the respective advertiser entities; analyzing the ads received from the advertiser entities; receiving from a user terminal across the network an automated ad request for one or more ads associated with a display to a user of one of the publisher pages at the user terminal, the publisher page to be displayed comprising the displayable publishing content and one or more of the available ad spaces; and determining if the analyzed publishing content is ready for matching to the stored ads; wherein if the processor determines that the analyzed publishing content is ready for matching to the stored ads, the processor performs the steps of: matching the automated ad request to at least a portion of analyzed publishing content for the publisher page to be displayed; statistically matching the user to one of the stored plurality of anonymous profiles, using known information associated with 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 any of the analyzed publishing content and the analyzed advertising 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 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 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; wherein when the statistical significance equals or is below said predetermined threshold, then the processor is programmed to use the predicted effective impression revenue of the stored ads; and sending one or more of the determined stored ads to the user terminal or integration with the publisher page to be displayed; and wherein the processor performs the step of transmitting an ad of a determined general relevance to the user terminal for integration with the publisher page to be displayed if the analyzed publishing content is not ready, wherein the processor performs the step of determining general relevance based upon any of publisher selection or system analysis. 39. The process of claim 22 , wherein the predicted response is based on relevance features of any of the analyzed publishing context, the analyzed advertising context and information associated with the user.