Abstract: Various approaches discussed herein enable techniques for managing privacy with respect to location-based operations, for example by receiving point of interest (POI) data corresponding to location data such as global positioning service (GPS) data at a computing device along with various location-based rules, which when satisfied, result in attribution events being generated that indicate various characteristics associated with POIs in the POI data. The attribution events are then sent to a server without compromising the location privacy of the computing device, because the location of the computing device is not included with the attribution events.

Abstract: Various approaches discussed herein enable techniques for managing privacy with respect to location-based operations, for example by receiving point of interest (POI) data corresponding to location data such as global positioning service (GPS) data at a computing device along with various location-based rules, which when satisfied, result in attribution events being generated that indicate various characteristics associated with POIs in the POI data. The attribution events are then sent to a server without compromising the location privacy of the computing device, because the location of the computing device is not included with the attribution events.

Abstract: Various approaches discussed herein enable techniques for managing privacy with respect to location-based operations, for example by receiving point of interest (POI) data corresponding to location data such as global positioning service (GPS) data at a computing device along with various location-based rules, which when satisfied, result in attribution events being generated that indicate various characteristics associated with POIs in the POI data. The attribution events are then sent to a server without compromising the location privacy of the computing device, because the location of the computing device is not included with the attribution events.

Abstract: Various approaches discussed herein enable techniques for managing privacy with respect to location-based operations, for example by receiving point of interest (POI) data corresponding to location data such as global positioning service (GPS) data at a computing device along with various location-based rules, which when satisfied, result in attribution events being generated that indicate various characteristics associated with POIs in the POI data. The attribution events are then sent to a server without compromising the location privacy of the computing device, because the location of the computing device is not included with the attribution events.

Abstract: Disclosed are various embodiments for associating clients with user accounts using a unique device identifier. A plurality of identifiers is provided by a client to a device tracker. The device tracker determines if one of the plurality of identifiers matches an identifiers previously stored in association with a user account. If no association exists, the device tracker determines if the client is currently logged into a user account and associates the client with the user account in response to determining that the client is logged into the user account. If the client is not logged into a user account, then the device tracker stores the unique device identifier for the client and waits for the client to log into a user account in the future.