SYSTEM AND METHOD FOR IDENTIFYING A HIGH-VALUE ADVERTISING BASE

• US 20140337130A1
• Filed: 05/08/2013
• Published: 11/13/2014
• Est. Priority Date: 05/08/2013
• Status: Abandoned Application

• Current Assignee: Arrivalist, Co.
• Original Assignee: Arrivalist, Co.
• Inventors: Lawson, Cree
• Application Number:
  US13/889,874
• Publication Number:
  US 20140337130A1
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/0255 based on user history

Abstract

Improved systems and methods for identifying online advertisement conversions, and for identifying high-value targets for the delivery of subsequent advertising impressions. Travel reservation data is communicated to an ad network to determine populations of potential travelers. Such populations may be aggregated by destination, date and time of travel, travel mode, size of travel group, and so forth. The populations of potential travelers thus identified may then be selected to receive targeted ad impressions based at least in part upon the travel itinerary. Other indicia of travel, such as the addition of an international calling plan to a cellular telephone subscription, may be utilized to indentify high-value targets.

Claims

1. A computer-implemented method for identifying a high value population, comprising:

receiving, at an information processing computer, reservation data of a user;

extracting identification data from the reservation data;

extracting location data from the reservation data;

storing the identification data and the location data in association with the user; and

flagging the user as a high value user.

2. The computer-implemented method in accordance with claim 1, further comprising the step of determining whether a unique user identifier exists for the user.

3. The computer-implemented method in accordance with claim 2, further comprising the step of generating a unique user identifier for the user in response to a determination that no unique user identifier exists for the user.

4. The computer-implemented method in accordance with claim 1, wherein identification data is selected from the group consisting of a first name, a last name, a street address, an email address, a telephone number, a date of birth, a social security number, a passport number, an account number, a MAC address, and an IP address.

5. The computer-implemented method in accordance with claim 1, wherein location data is selected from the group consisting of an origin location, a destination location, a stopover location, a departure date, an arrival date, and a return date.

6. The computer-implemented method in accordance with claim 5, further comprising the steps of:

comparing a current date to the return date; and

flagging the user as not a high value user in response to a determination that the current date is after the return date.

7. The computer-implemented method in accordance with claim 1, wherein the reservation data is encoded in eXtensible Markup Language.

8. A computer-implemented method for delivering ad impressions to a high value population, comprising:

receiving, at a processor, a page request comprising at least one of a user identifier, a user device identifier, and a location identifier;

determining, by a processor, whether the user device identifier is associated with a previously stored user record;

responding to a determination that the user device identifier is associated with a previously stored user record by determining, at a processor, whether the user associated with the previously stored user record is flagged as a high value user;

selecting, by a processor, an ad impression targeted to a high value user; and

delivering, to a user device, the ad impression.

9. The computer-implemented method in accordance with claim 8, further comprising the steps of:

retrieving, from the database, a return date associated with the user record;

comparing, at a processor, the return date to the current date; and

flagging the user as not a high value user in response to a determination that the current date is after the return date.

10. The computer-implemented method in accordance with claim 8, further comprising the steps of causing to be stored, on a user device, a cookie indicating the user of the user device is a high value user.

11. The computer-implemented method in accordance with claim 8, wherein the selection step includes selecting an ad impression based at least in part upon a user device location.

12. The computer-implemented method in accordance with claim 8, wherein the selection step includes selecting an ad impression based at least in part upon a user history.

13. The computer-implemented method in accordance with claim 8, further comprising storing at least one of an ad identifier and a location identifier in association with a user identifier.

14. An information processing system, comprising:

a processor;

a database in operable communication with the processor;

a location receiving unit operably associated with the processor and configured to receive a location of a user device;

a content selection unit operably associated with the processor and configured to select an impression content based at least in part upon the location of the user device;

an impression delivery unit operably associated with the processor and configured to deliver an impression to the user device for presentation to a user of the user device;

an impression recording unit operably associated with the processor and configured to record the fact that the impression was presented to the user;

a location recording unit operably associated with the processor and configured to record the location of the user device; and

a reservation reception unit operably associated with the processor and configured to receive, from a reservation computer, reservation data associated with a user.

15. The information processing system in accordance with claim 14, wherein the reservation reception unit is further configured to identify a high value user.

16. The information processing system in accordance with claim 14, further comprising:

a location determining unit associated with the user device and configured to determine a location of the user device and convey the location of the user device to the location receiving unit.

17. The information processing system in accordance with claim 16, wherein the location determining unit determines location by at least one of a global positioning system, internet protocol address geolocation, cellular signal triangulation, or wife network geolocation.

18. The information processing system in accordance with claim 14, wherein the reservation reception unit is further configured to extract from the reservation data at least one of a first name, a last name, a street address, an email address, a telephone number, a date of birth, a social security number, a passport number, an account number, a MAC address, an IP address, an origin location, a destination location, a stopover location, a departure date, an arrival date, and a return date.

19. The information processing system in accordance with claim 14, further comprising a reservation agent in operable communication with the reservation computer.

20. The information processing system in accordance with claim 19, wherein the reservation agent is in operable communication with the reservation reception unit.