| CPC G06Q 30/0242 (2013.01) | 20 Claims |
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1. A system comprising:
at least one processor; and
memory coupled to the at least one processor, the memory comprising computer executable instructions that, when executed by the at least one processor, performs a method comprising:
receiving data from at least one electronic device in an exposed group;
processing data from the at least one electronic device;
creating at least one control group using the data based at least upon a commonality threshold for one or more features, wherein the commonality threshold is determined in accordance with a machine-learning algorithm that receives both non-exposed user profile information and exposed user-profile information as input, wherein the machine learning algorithm is trained using a historical dataset comprising information associated with a preexisting profile database of both exposed and non-exposed individuals from prior campaigns, their associated electronic device data, and a dataset comprising location information from a location-intelligent database;
matching at least one profile from the at least one control group with at least one profile from the exposed group;
automatically monitoring, for a predetermined period of time following the matching, electronic device data associated with:
a first device of the matched at least one profile from the control group; and
a second device of the matched at least one profile from the exposed group, wherein the profiles associated with the first device and the second device have been matched with each other;
comparing the electronic device data for the first device and the second device; and
generating at least one result for at least one of the exposed group and at least one of the control group based on the comparison.
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