BONUS BASED TARGETED ADVERTISING

1 . A computer-implemented method for reducing an amount of resources required for targeted advertising of luxury items, the computer-implemented method comprising:

accessing, by a special advertising application running on a processor unit, a payroll database;

identifying from the payroll database, by the special advertising application running on the processor unit, an employee, a bonus payment date for the employee, and a bonus payment amount for the employee;

responsive to identifying the employee, the bonus payment date, and the bonus payment amount, determining a selected luxury item based on a luxury item preference score in a consumer profile for the employee and determining the amount of resources assigned to a targeted advertisement for the selected luxury item; and

delivering, by the special advertising application running on the processor unit, the targeted advertisement for the selected luxury item on the amount of resources;

wherein using the luxury item preference score enables reducing the amount of resources for delivering the targeted advertisement by eliminating advertising for the luxury items with a less probability of causing the employee to spend the bonus payment amount on a luxury item than the selected luxury item.

2 . The computer-implemented method of claim 1 , further comprising:

responsive to identifying the bonus payment date, determining, by the special advertising application running on the processor unit, a messaging schedule for delivering the targeted advertisement to the employee.

3 . The computer-implemented method of claim 1 , further comprising:

responsive to identifying the employee, accessing, by the special advertising application running on the processor unit, the consumer profile for the employee;

responsive to accessing the consumer profile for the employee, calculating, by the special advertising application running on the processor unit, the luxury item preference score for the employee based on the bonus payment amount; and

responsive to calculating the luxury item preference score for the employee, identifying, by the special advertising application running on the processor unit, the selected luxury item;

wherein the luxury item preference score is determined by the bonus payment amount and a number of consumption preferences in the consumer profile.

4 . The computer-implemented method of claim 3 , further comprising:

responsive to determining the selected luxury item, determining, by the special advertising application running on the processor unit, a number of features of the selected luxury item;

responsive to determining the number of features of the selected luxury item, ranking the number of features in an order of probability that a feature will appeal to the employee;

responsive to ranking the number of features in the order of probability that the feature will appeal to the employee; and

constructing, by the special advertising application running on the processor unit, the targeted advertisement.

5 . The computer-implemented method of claim 1 , further comprising:

responsive to accessing the consumer profile, calculating, by the special advertising application running on the processor unit, the luxury item preference score for the employee;

responsive to calculating the luxury item preference score for the employee, calculating, by the special advertising application running on the processor unit, a probability that the employee will purchase the selected luxury item using the bonus payment amount; and

responsive to calculating the probability that the employee will purchase the selected luxury item, determining, by the special advertising application running on the processor unit, an amount of advertising resources to allocate to delivering the targeted advertisement to the employee.

6 . The computer-implemented method of claim 2 , further comprising:

accessing one or more internal databases, by the special advertising application running on the processor unit, to populate the consumer profile for the employee;

wherein the one or more internal databases comprise one or more of an age of the employee, a physical address of the employee, a salary of the employee, an automobile of the employee, a work schedule of the employee, past vacation dates, future vacation dates, IP addresses of the employee, mobile device numbers of the employee, email addresses of the employee, an industry of the employee, and a geographic location of the employee.

7 . The computer-implemented method of claim 2 , further comprising accessing one or more external data sources, by the special advertising application running on the processor unit, to populate the consumer profile for the employee;

wherein the one or more external data sources comprise one or more of holidays, related advertising, weather, and economic conditions.

8 . A targeted luxury item advertising delivery system for reducing an amount of resources required for targeted advertising of luxury items comprising:

a computer system connected to a network, a number of internal databases, and a number of external data sources, wherein the number of internal databases includes a number of payroll databases;

a special advertising application running on a processor unit of the computer system; and

computer program instructions for the special advertising application, stored in a computer-readable storage medium and configured to cause the processor unit to access a payroll database; identify from the payroll database an employee, a bonus payment date for the employee, and a bonus payment amount for the employee; responsive to identifying the employee, the bonus payment date, and the bonus payment amount, determine the amount of resources assigned to a targeted advertisement based on a luxury item preference score in a consumer profile for the employee; and deliver the targeted advertisement for a selected luxury item on the amount of resources;

wherein using the luxury item preference score enables reducing the amount of resources for delivering the targeted advertisement by eliminating advertising with a low probability of causing the employee to spend the bonus payment amount on a luxury item.

9 . The targeted luxury item delivery system of claim 8 , further comprising:

computer program instructions for the special advertising application, stored in the computer-readable storage medium and configured to cause the processor unit, responsive to identifying the bonus payment date, to determine a messaging schedule for delivering the targeted advertisement to the employee.

10 . The targeted luxury item delivery system of claim 8 , further comprising:

computer program instructions for the special advertising application, stored in the computer-readable storage medium and configured to cause the processor unit, responsive to identifying the employee, to access the consumer profile for the employee; responsive to accessing the consumer profile for the employee, calculate the luxury item preference score for the employee based on the bonus payment amount; and responsive to calculating the luxury item preference score for the employee, to identify the selected luxury item;

wherein the luxury item preference score is determined by the bonus payment amount and a number of consumption preferences in the consumer profile.

11 . The targeted luxury item delivery system of claim 8 , further comprising:

computer program instructions for the special advertising application, stored in the computer-readable storage medium and configured to cause the processor unit, responsive to determining the selected luxury item, to determine a number of features of the selected luxury item; responsive to determining the number of features of the selected luxury item, rank the number of features in an order of probability that a feature will appeal to the employee; and responsive to ranking the number of features in the order of probability that the feature will appeal to the employee, constructing the targeted advertisement.

12 . The targeted luxury item delivery system of claim 8 , further comprising:

computer program instructions for the special advertising application, stored in the computer-readable storage medium and configured to cause the processor unit, responsive to accessing the consumer profile, calculate the luxury item preference score for the employee; responsive to calculating the luxury item preference score for the employee, calculate a probability that the employee will purchase the selected luxury item using the bonus payment amount; and responsive to calculating the probability that the employee will purchase the selected luxury item, determine an amount of advertising resources to allocate to delivering the targeted advertisement to the employee.

13 . The targeted luxury item delivery system of claim 8 , further comprising:

computer program instructions for the special advertising application, stored in the computer-readable storage medium and configured to cause the processor unit, to access one or more internal databases to populate the consumer profile for the employee;

wherein the consumer profile comprises one or more of an age of the employee, a physical address of the employee, a salary of the employee, an automobile of the employee, a work schedule of the employee, past vacation dates, future vacation dates, IP addresses of the employee, mobile device numbers of the employee, email addresses of the employee, an industry of the employee, and a geographic location of the employee.

14 . The targeted luxury item delivery system of claim 8 , further comprising:

computer program instructions for the special advertising application, stored in the computer-readable storage medium, configured to cause the processor unit to access one or more external data sources to populate the consumer profile for the employee;

wherein the external data sources comprise one or more of holidays, related advertising, weather, and economic conditions.

15 . A computer program product for reducing an amount of resources required for targeted advertising of luxury items comprising:

computer program instructions for a special advertising application stored on a computer-readable storage medium and configured to cause a processor unit to access a payroll database;

computer program instructions for the special advertising application stored on a computer-readable storage medium and configured to cause the processor unit to identify, from the payroll database, an employee, a bonus payment date for the employee, and a bonus payment amount for the employee; and

computer program instructions for the special advertising application stored on a computer-readable storage medium and configured to cause a processor unit, responsive to identifying the employee, the bonus payment date, and the bonus payment amount, to deliver a targeted advertisement for a selected luxury item;

wherein an amount of resources required for advertising is reduced.

16 . The computer program product of claim 15 , comprising:

computer program instructions for the special advertising application, stored on the computer-readable storage medium and configured to cause the processor unit, responsive to identifying the bonus payment date, to determine a messaging schedule for delivering the targeted advertisement to the employee.

17 . The computer program product of claim 15 , comprising:

computer program instructions for the special advertising application, stored on the computer-readable storage medium and configured to cause the processor unit, responsive to identifying the employee, to access a consumer profile for the employee; responsive to accessing the consumer profile for the employee, to calculate a luxury item preference score for the employee based on the bonus payment amount; and responsive to calculating the luxury item preference score for the employee, identify the selected luxury item;

wherein the luxury item preference score is determined by the bonus payment amount and a number of consumption preferences in the consumer profile.

18 . The computer program product of claim 15 , further comprising:

computer program instructions for the special advertising application, stored on the computer-readable storage medium and configured to cause the processor unit, responsive to determining the selected luxury item, to determine a number of features of the selected luxury item; responsive to determining the number of features of the selected luxury item, rank the number of features in an order of probability that a feature will appeal to the employee; responsive to ranking the number of features in the order of probability that the feature will appeal to the employee, to construct the targeted advertisement.

19 . The computer program product of claim 15 , further comprising:

computer program instructions for the special advertising application, stored in the computer-readable storage medium and configured to cause the processor unit, responsive to accessing the consumer profile, to calculate a luxury item preference score for the employee; responsive to calculating the luxury item preference score for the employee, calculate a probability that the employee will purchase the selected luxury item using the bonus payment amount; and responsive to calculating the probability that the employee will purchase the selected luxury item, determine an amount of advertising resources to allocate to delivering the targeted advertisement to the employee.

20 . The computer program product of claim 15 , further comprising:

computer program instructions for the special advertising application, stored on the computer-readable storage medium and configured to cause the processor unit, access one or more internal databases to populate the consumer profile for the employee; and

computer program instructions for the special advertising application, stored in the computer-readable storage medium and configured to cause the processor unit to access one or more external data sources to populate the consumer profile for the employee;

wherein the consumer profile comprises one or more of an age of the employee, a physical address of the employee, a salary of the employee, an automobile of the employee, a work schedule of the employee, past vacation dates, future vacation dates, IP addresses of the employee, mobile device numbers of the employee, email addresses of the employee, an industry of the employee, and a geographic location of the employee;

wherein the external data sources comprise one or more of holidays, related advertising, weather, and economic conditions.