System for optimizing on-premises advertisements

• US 20080230604A1
• Filed: 03/22/2007
• Published: 09/25/2008
• Est. Priority Date: 03/22/2007
• Status: Abandoned Application

• Current Assignee: Castlepath Group Ldc., International BAR Auditing Services Limited
• Original Assignee: International BAR Auditing Services Limited
• Inventors: Fong, Robert Jason
• Application Number:
  US11/726,547
• Publication Number:
  US 20080230604A1
• Time in Patent Office: Days
• US Class Current: 235/383
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0212 Chance discounts or incentives
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising

Abstract

A system for optimizing on-premises advertising, for example, at retail food and/or beverage establishments, such as bars, restaurants, night clubs, sports stadiums and other on-premise retail sites. The optimization is based upon on-premise sales data which includes point-of-sale (POS) data and may also take into account waste, spoilage, theft etc (“collectively “native sales data”). In one embodiment of the invention, the system is able to optimize which products are advertised based upon native sales data. In other embodiments of the invention, the system is able to determine the effectiveness of impulse advertisements for the selected products as well as the timing of the impulse advertisements in order to increase sales of selected products and increase the profitability of the retail establishment and improve the return on impulse ad costs.

Claims

1. A method for optimizing advertisements at a retail establishment, the method comprising the steps of:

(a) displaying one or more impulse ads, messaging or educational content; and

(b) determining the effectiveness of an impulse ad as a function of point of sale (POS) data during or immediately after the impulse ad is broadcast.

2. The method as recited in claim 1, further including the steps of displaying an impulse ad for a selected product during different time slots in a day and comparing the POS data for said different time slots to determine the most effective time slot for increasing sales of the selected product.

3. The method as recited in claim 1, wherein step (b) comprises determining the effectiveness of an impulse ad as a function of native data during or immediately after the impulse ad is broadcast.

4. The method as recited in claim 1, wherein step (a) comprises displaying one or more impulse ads on one or more full screen displays.

5. The method as recited in claim 1, wherein step (a) comprises displaying one or more impulse ads on one or more split-screen displays.

6. The method as recited in claim 5, wherein step (a) comprises displaying one or more impulse ads on one or more split-screen displays which include picture-in-picture functionality.

7. The method as recited in claim 1, wherein step (a) comprises displaying only one impulse ad at a time on all on-premise displays.

8. The method as recited in claim 1, wherein step (a) comprises displaying more than one impulse ad on different on-premise displays at a time.

12. The system as recited in claim 1, further including a client device which causes said impulse ad for a selected product to be broadcast during different time slots in a day and compares the POS data for said different time slots to determine the most effective time slot for increasing sales of the selected product.

9. A method for improving the return on impulse ads comprising the steps of:

(a) purchasing impulse ad content for a selected product for one or more on-premise displays at a given cost; and

(b) determining an optimal time slot for broadcasting the impulse ad content which optimizes sales of the selected product.

10. The method as recited in claim 9, wherein step (b) comprises determining an optimal time slot for broadcasting the impulse ad content which optimizes sales of the selected product by broadcasting the impulse ad content during different time slots and comparing the POS data for the different slots for the selected product to determine the time slots which resulted in the greatest number of sales of the selected product.

11. A system for optimizing advertisements at a retail establishment, the system comprising:

(a) one or more displays for displaying one or more impulse ads; and

(b) a reporting server for determining the effectiveness of an impulse ad as a function of point of sale (POS) data during or immediately after the impulse ad is broadcast.

13. The system as recited in claim 11, wherein said reporting server is configured to determine the effectiveness of an impulse ad as a function of native data during or immediately after the impulse ad is broadcast.

14. The system as recited in claim 11, wherein at least one of said one or more displays is a full screen display.

15. The system as recited in claim 11, wherein at least one of said one or more displays is a split-screen display.

16. The system as recited in claim 15, wherein said at least one split-screen display includes picture-in-picture functionality.

17. The system as recited in claim 11, wherein said client device is configured to display only one impulse ad at a time on all on-premise displays.

18. The system as recited in claim 11, wherein said client device is configured to display more than one impulse ad on different on-premise displays at a time.

19. A system for improving the return on impulse ads, the system comprising:

(a) a display for displaying impulse ad content for a selected product for one or more on-premise displays; and

(b) a reporting server for determining an optimal time slot for broadcasting the impulse ad content which optimizes sales of the selected product.

20. The system as recited in claim 19, wherein the reporting server is configured to determine an optimal time slot for broadcasting the impulse ad content which optimizes sales of the selected product by broadcasting the impulse ad content during different time slots and comparing the POS data for the different slots for the selected product to determine the time slots which resulted in the greatest number of sales of the selected product.