Abstract: An online system receives information describing a target group of online system users from a third party system and determines whether to store the information describing the target group. Online system users included in the target group are identified and scores are determined for each of the identified user. A score associated with a user represents the online system's effectiveness in targeting content to the user via targeting criteria maintained by the online system. Based on the scores, the online system determines a group score associated with the target group and stores the information describing the target group if the group score satisfies one or more criteria. If the information describing the target group is stored, the online system may determine whether to continue storing the information describing the target group based on revenue obtained by the online system from presenting content based on the target group.

Abstract: An online system receives information describing a target group of online system users from a third party system and stores the information describing the target group. The online system subsequently uses the target group to select content for presentation to one or more users. For example, users included in the target group are identified as eligible to be presented with content items. Based on revenue obtained by the online system from presenting content based on the target group, the online system determines a monetization value for the target group. The online system determines whether to continue storing the information describing the target group based on the monetization value.

Abstract: An online system matches a user with a user of a third party system by comparing user identifying information maintained by the online system with user identifying information maintained by the third party system. To determine how accurately different types of user identifying information identify an online system user, types of user identifying information maintained by the online system are compared to types of user identifying information maintained by the third party system. A score is associated with various online system users based on the number of types of user identifying information associated with the user by the online system matching types of user identifying information associated with a third party system user. Based on the scores associated with different users, a measure of accuracy in identifying an online system user is determined for each type of user identifying information.

Abstract: An online system matches a user with a user of a third party system by comparing user identifying information maintained by the online system with user identifying information maintained by the third party system. To determine how accurately different types of user identifying information identify an online system user, types of user identifying information maintained by the online system are compared to types of user identifying information maintained by the third party system. A score is associated with various online system users based on the number of types of user identifying information associated with the user by the online system matching types of user identifying information associated with a third party system user. Based on the scores associated with different users, a measure of accuracy in identifying an online system user is determined for each type of user identifying information.

Abstract: An online system receives information describing a target group of online system users from a third party system and stores the information describing the target group. The online system subsequently uses the target group to select content for presentation to one or more users. For example, users included in the target group are identified as eligible to be presented with content items. Based on revenue obtained by the online system from presenting content based on the target group, the online system determines a monetization value for the target group. The online system determines whether to continue storing the information describing the target group based on the monetization value.

Abstract: An online system receives information describing a target group of online system users from a third party system and determines whether to store the information describing the target group. Online system users included in the target group are identified and scores are determined for each of the identified user. A score associated with a user represents the online system's effectiveness in targeting content to the user via targeting criteria maintained by the online system. Based on the scores, the online system determines a group score associated with the target group and stores the information describing the target group if the group score satisfies one or more criteria. If the information describing the target group is stored, the online system may determine whether to continue storing the information describing the target group based on revenue obtained by the online system from presenting content based on the target group.