Systems and methods for short identifier behavioral analytics

A method performed by a computing device, the method comprising:

• determining, in historical event data, identifier collisions based on short identifiers associated with a first event location and short identifiers associated with a second event location geographically dispersed from the first event location;
• performing behavior analytics on a plurality of short identifiers in the historical event data to generate behavioral models associated with the plurality of short identifiers;
• generating adjusted behavioral models based on the determined identifier collisions;
• obtaining a short identifier from a client device;
• determining, based on the short identifier from the client device, an adjusted behavioral model of the adjusted behavioral models;
• determining an expected event frequency based on the adjusted behavioral model based on the obtained short identifier from the client device;
• determining an actual event frequency;
• and
• transmitting an indication of a first new event value to the client device based on a determination that the expected event frequency is less than the actual event frequency, whereby the client device displays a notification corresponding to the indication of the first new event value.

A non-transitory computer-readable medium having instructions recorded thereon for at least one processor of a computing device, wherein the instructions configure the at least one processor to perform operations comprising:

• determining, in historical event data, identifier collisions based on short identifiers associated with a first event location and short identifiers associated with a second event location geographically dispersed from the first event location;
• performing behavior analytics on a plurality of short identifiers in the historical event data to generate behavioral models associated with the plurality of short identifiers;
• generating adjusted behavioral models based on the determined identifier collisions;
• obtaining a short identifier from a client device;
• determining, based on the short identifier from the client device, an adjusted behavioral model of the adjusted behavioral models;
• determining an expected event frequency based on the adjusted behavioral model based on the obtained short identifier from the client device;
• determining an actual event frequency;
• and
• transmitting an indication of a first new event value to the client device based on a determination that the expected event frequency is less than the actual event frequency, whereby the client device displays a notification corresponding to the indication of the first new event value.