Abstract: A plurality of anonymized publisher-user identifiers are received at a processor, and a plurality of anonymized advertiser-user identifiers are received from an advertiser at the processor. Without de-anonymizing any publisher-user identifiers in the received plurality of publisher-user identifiers and any advertiser-user identifiers in the received plurality of advertiser-user identifiers, the processor obliviously computes an intersection among the received publisher-user identifiers and the received ad-user identifiers to create an intersection set containing a plurality of advertiser-user identifiers matched with publisher-user identifiers.

Abstract: In an embodiment, one or more ad data sets are received at a first processor. The ad data sets may be partially encoded or encrypted to prevent the processor from viewing certain visitor information. The ad data sets are merged together around common users or order IDs. An attribution credit is applied to each advertising event, creating an attribution data set. The data in the attribution data set is aggregated according to each advertising event, and based on the aggregated results, an advertising recommendation is calculated and sent to the advertising entity.

Abstract: In an embodiment, one or more ad data sets are received at a first processor. The ad data sets may be partially encoded or encrypted to prevent the processor from viewing certain visitor information. The ad data sets are merged together around common users or order IDs. An attribution credit is applied to each advertising event, creating an attribution data set. The data in the attribution data set is aggregated according to each advertising event, and based on the aggregated results, an advertising recommendation is calculated and sent to the advertising entity.

Abstract: An ad facilitation server receives a definition of an audience from an advertiser, the definition expressed in terms of a URL that audience members have visited, such as a regular expression for URLs. Upon receiving a URL corresponding to a visit of a visitor to a page of the advertiser, the ad facilitation server determines whether the URL matches the audience definition provided earlier; if so, the ad facilitation server sends a request to a number of different ad publishers, requesting them to add the visitor to an associated audience. When an ad impression opportunity occurs on a particular ad publisher, the publisher considers bids previously submitted by the advertiser for the audience when selecting an ad for the ad impression opportunity. Thus, advertisers are enabled to bid on specific audiences defined by prior page visits, across a number of different ad publishers constituting different advertising channels.

Abstract: Approaches for collaborative advertising bidding comprise receiving, from an ad exchange, a bid request for an advertisement space for a viewing user. The approaches further comprise retrieving logged data associated with the viewing user, the logged data corresponding to the viewing user's online exposure to web content including at least one of commercial webpages, online representations of services or products having purchase information, and advertisements. A first advertiser and a second advertiser who have entered into an advertising collaborating relationship to respond to bid requests are identified. A determination is made as to whether a portion of the retrieved logged data for the viewing user is associated with the first advertiser or with the second advertiser. Additionally, based on the determining, one of the first advertiser and the second advertiser is selected to submit a bid for the advertisement space in response to the bid request.

Abstract: An estimated conversion rate for a desired advertisement term is calculated. A total number of conversion events for terms having a conversion rate is determined for each of a plurality of conversion rates, and data is generated that describes a first distribution function representing the conversion rates and the associated numbers of conversion rates. Additionally, data describing a second distribution function representing the probability of a given number of conversion events occurring is also generated. Based at least in part on the first distribution function and the second distribution function, the estimated conversion rate for the desired advertisement term is computed.

Abstract: An estimated conversion rate for a desired advertisement term is calculated. A total number of conversion events for terms having a conversion rate is determined for each of a plurality of conversion rates, and data is generated that describes a first distribution function representing the conversion rates and the associated numbers of conversion rates. Additionally, data describing a second distribution function representing the probability of a given number of conversion events occurring is also generated. Based at least in part on the first distribution function and the second distribution function, the estimated conversion rate for the desired advertisement term is computed.

Abstract: An estimated conversion rate for a desired advertisement term is calculated. A total number of conversion events for terms having a conversion rate is determined for each of a plurality of conversion rates, and data is generated that describes a first distribution function representing the conversion rates and the associated numbers of conversion rates. Additionally, data describing a second distribution function representing the probability of a given number of conversion events occurring is also generated. Based at least in part on the first distribution function and the second distribution function, the estimated conversion rate for the desired advertisement term is computed.