Methods and systems for identifying multiple devices belonging to a single user by merging deterministic and probabilistic data to generate a cross device data structure

An analytics computing system, comprising:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the processor is configured to execute instructions included in the memory to perform operations comprising:
• receiving analytics information on a plurality of devices, wherein the analytics data includes deterministic data identifying login information of the plurality of devices;
• generating, based on the deterministic data, at least one deterministic device cluster grouping a first set of devices from the plurality of devices, the first set of devices sharing one or more user identifiers specific to a first user of a plurality of users;
• identifying, from the analytics information, at least one probabilistic link between a first device of the first set of devices and a second device of a second set of devices among the plurality of devices, wherein the probabilistic link indicates a usage pattern associated with the first device and with the second device;
• and
• based on the probabilistic link, generating a hybrid cross-device data structure that includes the deterministic device cluster and the second set of devices, wherein the hybrid cross-device data structure is based on the combination of the deterministic data and the probabilistic link, wherein the hybrid cross-device data structure indicates that the first set of devices and the second set of devices are associated with the first user among the plurality of users, wherein the hybrid cross-device data structure is used to collect subsequent analytics data on the first user when the first user operates the first set of devices or the second set of devices.

A non-transitory computer-readable medium embodying program code executable by a computing system, wherein the program code is executable to perform operations comprising:

• receiving analytics information on a plurality of devices, wherein the analytics data includes deterministic data identifying login information of the plurality of devices;
• generating, based on the deterministic data, at least one deterministic device cluster grouping a first set of devices from the plurality of devices, the first set of devices sharing one or more user identifiers specific to a first user of a plurality of users;
• identifying, from the analytics information, at least one probabilistic link between a first device of the first set of devices and a second device of a second set of devices among the plurality of devices, wherein the probabilistic link indicates a usage pattern associated with the first device and with the second device;
• and
• based on the probabilistic link, generating a hybrid cross-device data structure that includes the deterministic device cluster and the second set of devices, wherein the hybrid cross-device data structure is based on the combination of the deterministic data and the probabilistic link, wherein the hybrid cross-device data structure indicates that the first set of devices and the second set of devices are associated with the first user among the plurality of users, wherein the hybrid cross-device data structure is used to collect subsequent analytics data on the first user when the first user operates the first set of devices or the second set of devices.