Abstract: Embodiments are directed towards employing multiple profiles to track identification of users across multiple domains. Multiple application-domain profiles and multiple web-domain profiles may each include a statistical identifier. A profile enrichment store may be generated from the application-domain profiles and web-domain profiles, where each entry in the profile enrichment store may be based on statistical identifiers. The profile enrichment store may be utilized to determine categories associated with a statistical identifier for a request from a client device. A targeted advertisement may be determined based on the determined category and may be provided to the client device. A client caching identifier may be used in a mobile web domain, in combination with the statistical identifier, to track mobile web users. If a request is associated with a profile that includes an affirmative opt-out flag, categories in the profile enrichment store for a corresponding statistical identifier may be cleaned up.

Abstract: Embodiments are directed towards employing multiple profiles to track identification of users across multiple domains. Multiple application-domain profiles and multiple web-domain profiles may each include a statistical identifier. A profile enrichment store may be generated from the application-domain profiles and web-domain profiles, where each entry in the profile enrichment store may be based on statistical identifiers. The profile enrichment store may be utilized to determine categories associated with a statistical identifier for a request from a client device. A targeted advertisement may be determined based on the determined category and may be provided to the client device. A client caching identifier may be used in a mobile web domain, in combination with the statistical identifier, to track mobile web users. If a request is associated with a profile that includes an affirmative opt-out flag, categories in the profile enrichment store for a corresponding statistical identifier may be cleaned up.

Abstract: Embodiments are directed towards employing a plurality of tag states to control tag suspension based on an asynchronous process that proactively monitors tag performance, response times, and latency. Tags may be in one of multiple states. Tags in a NORMAL state or a FLAGGED state may be enabled for deployment, and tags in a SUSPENSION_A state or a SUSPENSION_B state may be blocked from deployment. A tag's state may change based on monitoring the tag's latency to determine if latent events occur. Tag latency may be asynchronously monitored independent of web page requests. If latent events occur, then the tag's state may change from NORMAL to FLAGGED, from FLAGGED to SUSPENSION_A, or from SUSPENSION_B to SUSPENSION_A. If non-latent events occur, then the tag's state may change from SUSPENSION_B to FLAGGED or from FLAGGED to NORMAL, while a tag's state may change from SUSPENSION_A to SUSPENSION_B after a predetermined time period.

Abstract: Embodiments are directed towards employing a plurality of tag states to control tag suspension based on an asynchronous process that proactively monitors tag performance, response times, and latency. Tags may be in one of multiple states. Tags in a NORMAL state or a FLAGGED state may be enabled for deployment, and tags in a SUSPENSION_A state or a SUSPENSION_B state may be blocked from deployment. A tag's state may change based on monitoring the tag's latency to determine if latent events occur. Tag latency may be asynchronously monitored independent of web page requests. If latent events occur, then the tag's state may change from NORMAL to FLAGGED, from FLAGGED to SUSPENSION_A, or from SUSPENSION_B to SUSPENSION_A. If non-latent events occur, then the tag's state may change from SUSPENSION_B to FLAGGED or from FLAGGED to NORMAL, while a tag's state may change from SUSPENSION_A to SUSPENSION_B after a predetermined time period.

Abstract: Embodiments are directed towards employing a plurality of tag states to control tag suspension based on an asynchronous process that proactively monitors tag performance, response times, and latency. Tags may be in one of multiple states. Tags in a NORMAL state or a FLAGGED state may be enabled for deployment, and tags in a SUSPENSION_A state or a SUSPENSION_B state may be blocked from deployment. A tag's state may change based on monitoring the tag's latency to determine if latent events occur. Tag latency may be asynchronously monitored independent of web page requests. If latent events occur, then the tag's state may change from NORMAL to FLAGGED, from FLAGGED to SUSPENSION_A, or from SUSPENSION_B to SUSPENSION_A. If non-latent events occur, then the tag's state may change from SUSPENSION_B to FLAGGED or from FLAGGED to NORMAL, while a tag's state may change from SUSPENSION_A to SUSPENSION_B after a predetermined time period.