Methods and systems for monitoring brand performance based on consumer behavior metric data and expenditure data related to a competitive brand set over time

A computer-implemented method of evaluating brand performance employing at least one data processor having processor-implemented instructions, the method comprising:

• a) providing or determining a set of input parameters, wherein the set of input parameters specify a plurality of brand names;
• b) performing first data processing operations for each given brand name in the plurality of brand names to collect influence-related source data and exposure-related source data from a plurality of different data sources, generate influence-related metric data and exposure-related metric data corresponding to the influence-related source data and exposure-related source data, and store the influence-related metric data and the exposure-related metric data in a data store in association with the given brand name and data representing a time period and geographical territory related thereto;
• c) interacting with a user to identify a particular brand name or brand campaign and a relevant geographical territory and a relevant time window, wherein a set of competing brand names is associated with the particular brand name or brand campaign;
• and
• d) performing second data processing operations for each particular brand name in the set of competing brand names in response to the user interaction of c), wherein the second data processing operations determine a brand score for the particular brand name from the influence-related metric data and the exposure-related metric data that is stored in the data store and corresponds to the particular brand name and the relevant geographical territory and the relevant time window.