Synthetic Control Generation and Campaign Impact Assessment Apparatuses, Methods and Systems

An apparatus, comprising:

• a processor;
• a memory communicatively coupled to the processor and containing program instructions configured to cause the processor to:
• partition a collection of user profiles into a plurality of user subsets based on at least one profile characteristic;
• generate an intersection graph, wherein each node of the intersection graph corresponds to one of the plurality of user subsets and each edge is weighted in proportion to the size of an intersection of user sets corresponding to nodes connected by the edge;
• identify at least one target group from the plurality of user subsets and at least one campaign period;
• collect measurements of target metric data for the target group at different points in time, including points in the campaign period;
• collect measurements of non-target metric data for each of the plurality of user subsets other than the target group at the different points in time;
• generate a counterfactual baseline from the non-target metric data and at least one set of synthetic control parameters;
• and
• generate at least one campaign impact metric based on comparing the target metric data with the counterfactual baseline.

A processor-accessible medium, comprising a plurality of program instructions stored on the medium, the instructions comprising:

• partition a collection of user profiles into a plurality of user subsets based on at least one profile characteristic;
• generate an intersection graph, wherein each node of the intersection graph corresponds to one of the plurality of user subsets and each edge is weighted in proportion to the size of an intersection of user sets corresponding to nodes connected by the edge;
• identify at least one target group from the plurality of user subsets and at least one campaign period;
• collect measurements of target metric data for the target group at different points in time, including points in the campaign period;
• collect measurements of non-target metric data for each of the plurality of user subsets other than the target group at the different points in time;
• generate a counterfactual baseline from the non-target metric data and at least one set of synthetic control parameters;
• and
• generate at least one campaign impact metric based on comparing the target metric data with the counterfactual baseline.