Targeted Advertisement Generation For Travelers
Systems and methods are disclosed herein for generating targeted advertisements to traveling consumers. A user's location is tracked or inferred and compared to a home region identified for the user. For user's located with in a home region targeted advertisements are selected according to a user profile generated from analysis of the user's purchases over time. Upon detecting the user located outside the home region, selection of advertisements according to the user's home region profile may be suspended and advertisements may be selected according to one or more of a generic traveling consumer model, a traveling consumer category model, and a user-specific traveling profile.
1 . A method for generating advertisements, the method comprising:
tracking, by a computer system, local purchases of a user within a home region of the user;
selecting, by a computer system, first advertisements according to a first model trained according to the tracked local purchases of the user;
transmitting, by a computer system, the first advertisements for display to the user;
detecting, by the computer system, presence of the user outside of the home region;
selecting, by the computer system, second advertisements according to a second model that is different from the first model upon detecting location of the user outside of the home region; and
transmitting, by the computer system, the second advertisements for display to the user.
2 . The method of claim 1 , further comprising suspending selection of first advertisements according to the first model upon detecting location of the user outside of the home region.
3 . The method of claim 1 , further comprising:
receiving purchase information from a plurality of consumers while away from the home regions of the plurality of consumers; and
updating the second model according to the purchase information from the plurality of consumers.
4 . The method of claim 1 , further comprising:
tracking away purchases of the user occurring outside of the home region; and
updating a travel profile of the user according to the away purchases of the user;
wherein selecting second advertisements according to the second model further comprises selecting the second advertisements according to the second model trained according to the travel profile of the user if sufficient away purchases have been tracked.
5 . The method of claim 4 , wherein selecting second advertisements according to the second model further comprises selecting the second advertisements according to the second model trained according to away purchases of a plurality of consumers if sufficient away purchases have not been tracked for the user.
6 . The method of claim 1 , further comprising identifying a consumer category for the user according to at least one of the tracked local purchases of the user and demographic data of the user; wherein
wherein the first model is a model corresponding to the consumer category.
7 . The method of claim 1 , wherein detecting presence of the user outside of the home region further comprises detecting the location of the user from a global positioning system reading from a mobile device of the user.
8 . The method of claim 1 , wherein detecting presence of the user outside of the home region further comprises detecting login of the user to a merchant application, the login having a user position associated therewith.
9 . The method of claim 1 , wherein detecting presence of the user outside of the home region further comprises receiving electronic receipt data identifying the user from a point of sale having a location outside of the home region.
10 . The method of claim 1 , further comprising:
detecting away purchases of the user while outside of the home region;
comparing the away purchases to the tracked local purchases; and
selecting third advertisements according to a third model if the away purchases correspond to the tracked local purchase, the third model predictive of purchase preferences of consumers upon moving to a new area.
11 . A system for generating advertisements, the system comprising one or more processors and one or more memory devices operably coupled to the one or more processors, the one or more memory devices storing executable and operational data effective to cause the one or more processors to:
track local purchases of a user within a home region of the user;
select first advertisements according to a first model trained according to the tracked local purchases of the user;
transmit the first advertisements for display to the user;
detect presence of the user outside of the home region;
selecting second advertisements according to a second model that is different from the first model upon detecting location of the user outside of the home region; and
transmitting the second advertisements for display to the user.
12 . The system of claim 11 , wherein the executable and operational data are further effective to cause the one or more processors to suspend selection of first advertisements according to the first model upon detecting location of the user outside of the home region.
13 . The system of claim 11 , wherein the executable and operational data are further effective to cause the one or more processors to:
receive purchase information from a plurality of consumers while away from the home regions of the plurality of consumers; and
update the second model according to the purchase information from the plurality of consumers.
14 . The system of claim 11 , wherein the executable and operational data are further effective to cause the one or more processors to:
track away purchases of the user occurring outside of the home region; and
update a travel profile of the user according to the away purchases of the user; and
wherein the executable and operational data are further effective to cause the one or more processors to select second advertisements according to the second model by selecting the second advertisements according to the second model trained according to the travel profile of the user if sufficient away purchases have been tracked.
15 . The system of claim 14 , wherein the executable and operational data are further effective to cause the one or more processors to select second advertisements according to the second model by selecting the second advertisements according to the second model trained according to away purchases of a plurality of consumers if sufficient away purchases have not been tracked for the user.
16 . The system of claim 11 , wherein the executable and operational data are further effective to cause the one or more processors to identify a consumer category for the user according to at least one of the tracked local purchases of the user and demographic data of the user; wherein
wherein the first model is a model corresponding to the consumer category.
17 . The system of claim 11 , wherein the executable and operational data are further effective to cause the one or more processors to detect presence of the user outside of the home region by detecting the location of the user from a global positioning system reading from a mobile device of the user.
18 . The system of claim 11 , wherein the executable and operational data are further effective to cause the one or more processors to detect presence of the user outside of the home region by detecting login of the user to a merchant application, the login having a user position associated therewith.
19 . The system of claim 11 , wherein the executable and operational data are further effective to cause the one or more processors to detect presence of the user outside of the home region by receiving electronic receipt data identifying the user from a point of sale having a location outside of the home region.
20 . The system of claim 11 , wherein the executable and operational data are further effective to cause the one or more processors to:
detect away purchases of the user while outside of the home region;
compare the away purchases to the tracked local purchases; and
select third advertisements according to a third model if the away purchases correspond to the tracked local purchase, the third model predictive of purchase preferences of consumers upon moving to a new area.