Abstract: A system and method for optimizing advertisements. To maximize revenue, a plurality of ad networks are tiered based on their pricing data, and in one embodiment, their cost per thousand impressions (CPM). Each tier includes a pricing data range. Periodically, the system may increase and decrease frequency caps for the ad networks to adjust the ad networks in the tiers. Frequency caps may be increased for an ad network when the CPM for the ad network is above the CPM range for the ad network's tier. The frequency caps may be decreased for the ad network when the CPM for the ad network is below the CPM range for the ad network's tier. For each ad network request received, the system traverses through the tiers of the plurality of ad networks for an ad network that is capable of serving an ad based on the ad network's frequency cap.

Abstract: A system reducing the number of default ads displayed by a user agent thereby maximizing revenue for webpage publishers. To maximize revenue, the system manages multiple ad networks so that webpage publishers can have access to advertisements from the multiple ad networks. Typically, when an ad network serves a default ad, the system queries the next ad network. If the next ad network serves a non-default ad, then the ad is served. Otherwise, the system selects another ad network until either a non-default ad is served or a specific period of time elapses or a maximum number of ad networks have been queried, in which case the default ad is served. Ad networks may be ranked by revenue generation and/or the probability of serving a default ad. Inquiries to ad networks may be biased according to such rankings.

Abstract: A system reducing the number of default ads displayed by a user agent thereby maximizing revenue for webpage publishers. To maximize revenue, the system manages multiple ad networks so that webpage publishers can have access to advertisements from the multiple ad networks. Typically, when an ad network serves a default ad, the system queries the next ad network. If the next ad network serves a non-default ad, then the ad is served. Otherwise, the system selects another ad network until either a non-default ad is served or a specific period of time elapses or a maximum number of ad networks have been queried, in which case the default ad is served. Ad networks may be ranked by revenue generation and/or the probability of serving a default ad. Inquiries to ad networks may be biased according to such rankings.

Abstract: A system and method for optimizing advertisements. To maximize revenue, a plurality of ad networks are tiered based on their pricing data, and in one embodiment, their cost per thousand impressions (CPM). Each tier includes a pricing data range. Periodically, the system may increase and decrease frequency caps for the ad networks to adjust the ad networks in the tiers. Frequency caps may be increased for an ad network when the CPM for the ad network is above the CPM range for the ad network's tier. The frequency caps may be decreased for the ad network when the CPM for the ad network is below the CPM range for the ad network's tier. For each ad network request received, the system traverses through the tiers of the plurality of ad networks for an ad network that is capable of serving an ad based on the ad network's frequency cap.

Abstract: A system and method for optimizing advertisements. To maximize revenue, a plurality of ad networks are tiered based on their pricing data, and more preferably, their cost per thousand impressions (CPM). Each tier includes a pricing data range. Periodically, the system increases and decreasing frequency caps for the plurality of ad networks to raise the plurality of ad networks to a higher tier. Frequency caps are increased for an ad network when the CPM for the ad network is above the CPM range for the ad network's tier. The frequency caps are decreased for the ad network when the CPM for the ad network is below the CPM range for the ad network's tier. For each ad network request received, the system traverses through the tiers of the plurality of ad networks for an ad network that is capable of serving an ad based on the ad network's frequency cap.

Abstract: A system and method for optimizing advertisements. To maximize revenue, a plurality of ad networks are tiered based on their pricing data, and more preferably, their cost per thousand impressions (CPM). Each tier includes a pricing data range. Periodically, the system increases and decreasing frequency caps for the plurality of ad networks to raise the plurality of ad networks to a higher tier. Frequency caps are increased for an ad network when the CPM for the ad network is above the CPM range for the ad network's tier. The frequency caps are decreased for the ad network when the CPM for the ad network is below the CPM range for the ad network's tier. For each ad network request received, the system traverses through the tiers of the plurality of ad networks for an ad network that is capable of serving an ad based on the ad network's frequency cap.

Abstract: A system reducing the number of default ads displayed by a user agent thereby maximizing revenue for webpage publishers. To maximize revenue, the system manages multiple ad networks so that webpage publishers can have access to advertisements from the multiple ad networks. Typically, when an ad network serves a default ad, the system queries the next ad network. If the next ad network serves a non-default ad, then the ad is served. Otherwise, the system selects another ad network until either a non-default ad is served or a specific period of time elapses or a maximum number of ad networks have been queried, in which case the default ad is served. Ad networks may be ranked by revenue generation and/or the probability of serving a default ad. Inquiries to ad networks may be biased according to such rankings.