METHOD FOR TRACKING RESPONSES TO ADVERTISING CAMPAIGNS

• US 20110022459A1
• Filed: 07/23/2009
• Published: 01/27/2011
• Est. Priority Date: 07/23/2009
• Status: Abandoned Application

• Current Assignee: Michael Milanese, Michael Szajewski
• Original Assignee: Michael Milanese, Michael Szajewski
• Inventors: Szajewski, Michael, Milanese, Michael
• Application Number:
  US12/507,910
• Publication Number:
  US 20110022459A1
• Time in Patent Office: Days
• US Class Current: 705/14.45
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0246 Traffic

Abstract

A method for tracking responses to advertising campaigns is provided where a client places advertisements in a plurality of different outlet media channels for accessing target recipients of the campaign. The method acts to monitor location responses from recipients and attribute the responses to the different outlet media channels either by providing different response addresses for the different outlet media channels and routing the responses to or through the monitoring location or by evaluating those responses which are not attributed by a neural network to analyze response data and attribute each response to a specific media channel. The data is displayed in real time on a display screen for the client showing real time changes in data obtained from the analysis.

Claims

1. A method for tracking responses to advertising campaigns comprising:

placing for a client advertisements in a plurality of different outlet media channels for accessing target recipients of the campaign;

monitoring at a monitoring location responses from recipients to the campaign;

applying an analysis to the responses received to attribute at least some of the responses to the different outlet media channels;

and displaying on a display screen for the client data obtained from the analysis.

2. The method according to claim 1 wherein the data when displayed is modified in real time to include real time changes.

3. The method according to claim 1 wherein different response addresses are provided for the different outlet media channels and wherein the addresses are all routed to the monitoring location and the analysis is dependent on the different addresses used.

4. The method according to claim 1 wherein the responses are effected by telephone and the different addresses comprise different phone numbers.

5. The method according to claim 1 wherein the phone calls to the different phone numbers are routed through the monitoring location and forwarded to the client.

6. The method according to claim 1 wherein the responses are effected by direct mail and the different addresses include a different address component.

7. The method according to claim 1 wherein the responses to the different outlet media channels are attributed to different locations geographically.

8. The method according to claim 1 wherein the responses to the different outlet media channels are attributed to different outlets in a single media channel.

9. The method according to claim 1 wherein the outlet media channel is a web site and applying the analysis is carried out by causing the recipient to download from the monitoring location a component of a page which allows the monitoring location to identify the recipient who has downloaded the page.

10. The method according to claim 1 wherein the responses are sent by email or web-form and there is provide a system by which the responses to the client are copied and sent to the monitoring location.

11. The method according to claim 1 wherein the analysis includes analysis of different response types so as to distinguish between two or more of the following:

inquiry, application, registration, and request for more information.

12. The method according to claim 1 wherein, in the event that different response addresses are not used, all responses are evaluated by a neural network to analyze response data and attribute each response to a specific media channel.

13. The method according to claim 12 wherein the neural network acts to determine a breakdown of the different media channels for a specific media channel using information obtained from distribution times of advertisement on the media channels and response times.

14. The method according to claim 12 wherein the neural network acts to determine a breakdown of the different media channels for a specific media channel using information obtained from geographic distribution of locations of advertisements on the media channels and response locations.

15. The method according to claim 12 wherein the neural network acts to determine a breakdown of the different media channels for a specific media channel using information obtained from shelf life.

16. A method for tracking responses to advertising campaigns comprising:

placing for a client advertisements in a plurality of different outlet media channels for accessing target recipients of the campaign;

monitoring at a monitoring location responses from recipients to the campaign;

applying an analysis to the responses received to attribute at least some of the responses to the different outlet media channels;

and displaying in real time on a display screen for the client real time changes in data obtained from the analysis;

wherein, in respect of some media channels different response addresses are provided for the different outlet media channels;

wherein the addresses are all routed to the monitoring location and the analysis is dependent on the different addresses used;

and wherein, in the event that different response addresses are not used, all responses are evaluated by a neural network to analyze response data and attribute each response to a specific media channel.

17. The method according to claim 16 wherein the neural network acts to determine a breakdown of the different media channels for a specific media channel using information obtained from distribution times of advertisement on the media channels and response times.

18. The method according to claim 16 wherein the neural network acts to determine a breakdown of the different media channels for a specific media channel using information obtained from geographic distribution of locations of advertisements on the media channels and response locations.

19. The method according to claim 16 wherein the neural network acts to determine a breakdown of the different media channels for a specific media channel using information obtained from shelf life.