Systems and methods for generating linear synthetic universe useful for evaluating measurement algorithms

A system for generating synthetic data, the system comprising:

• a processor;
• a non-transitory computer-readable medium;
• and
• instructions stored on the non-transitory computer-readable medium and translatable by the processor for:
• determining a set of synthetic companies, a set of synthetic rotations, and a respective response rate matrix for each of the set of synthetic companies and the set of synthetic rotations;
• determining a respective actual-customer analog for each synthetic customer and a respective actual-rotation analog to each synthetic rotation;
• and
• generating a synthetic data universe, the generating comprising building a unique-visitor-per-minute UV(t) dataset over a time period for each synthetic customer, using UV(t) timeseries of the respective actual-customer analog and a list of linear television (TV) spots and associated data run by the respective actual-customer analog in a particular date range.

A computer program product for generating synthetic data, the computer program product comprising a non-transitory computer-readable medium storing instructions translatable by a processor for:

• determining a set of synthetic companies, a set of synthetic rotations, and a respective response rate matrix for each of the set of synthetic companies and the set of synthetic rotations;
• determining a respective actual-customer analog for each synthetic customer and a respective actual-rotation analog to each synthetic rotation;
• and
• generating a synthetic data universe, the generating comprising building a unique-visitor-per-minute UV(t) dataset over a time period for each synthetic customer, using UV(t) timeseries of the respective actual-customer analog and a list of linear television (TV) spots and associated data run by the respective actual-customer analog in a particular date range.