Method of comparing locations and interactive audiences

A system comprising:

• a user device executing a recommendation software service;
• a computing device executing a recommendation generation service;
• a computer database storing electronic identifiers and metadata;
• a processor and main memory comprising instructions which, when executed, cause:
• receiving, by the computing device, from the user device, digital electronic first location data representing a first geographical location associated with one or more audiences, each audience comprising a plurality of electronic identifiers that share at least one metadata attribute;
• generating and storing, by the computing device, in digital data storage, one or more first audience metrics for the first geographical location, the first audience metrics corresponding to a degree of networked computer interaction between each audience of the one or more audiences and the first geographical location;
• receiving, from the computer database, second location data, the second location data representing one or more additional geographical locations associated with the one or more audiences, the second location data comprising one or more second audience metrics for each additional geographical location, each of the one or more additional geographical locations being different than the first geographical location;
• determining that one or more of the first audience metrics or the second audience metrics indicate negligible interaction between an audience and a location;
• determining, from the first location data and the second location data, an expected audience metric for the negligible interaction metrics;
• based on a comparison of the one or more first audience metrics with the one or more second audience metrics, generating and digitally storing location recommendation data that selects one of the one or more additional geographical locations as being a location that is most similar to the first geographic location amongst the one or more additional geographical locations, the generating and digitally storing the location recommendation data comprising utilizing at least one determined expected audience metric to determine one or more additional geographical locations for inclusion in the location recommendation data;
• sending, to a client device, the location recommendation data indicating a physical location of the one additional geographical location selected in the location recommendation data.

One or more non-transitory computer-readable media storing instructions which, when executed by one or more processors, cause:

• receiving digital electronic first location data representing a first geographical location associated with one or more audiences, each audience comprising a plurality of electronic identifiers that share at least one metadata attribute;
• generating and storing in digital data storage, one or more first audience metrics for the first geographical location, the first audience metrics corresponding to a degree of networked computer interaction between each audience of the one or more audiences and the first geographical location;
• receiving, from a computer database, second location data, the second location data representing one or more additional geographical locations associated with the one or more audiences, the second location data comprising one or more second audience metrics for each additional geographical location, each of the one or more additional geographical locations being different than the first geographical location;
• determining that one or more of the first audience metrics or the second audience metrics indicate negligible interaction between an audience and a location;
• determining, from the first location data and the second location data, an expected audience metric for the negligible interaction metrics;
• based on a comparison of the one or more first audience metrics with the one or more second audience metrics, generating and digitally storing location recommendation data that selects one of the one or more additional geographical locations as being a location that is most similar to the first geographic location amongst the one or more additional geographical locations, the generating and digitally storing the location recommendation data comprising utilizing at least one determined expected audience metric to determine one or more additional geographical locations for inclusion in the location recommendation data;
• sending, to a client device, the location recommendation data indicating a physical location of the one additional geographical location selected in the location recommendation data.