Advertisement system, method and computer program product

• US 8,762,201 B1
• Filed: 07/24/2006
• Issued: 06/24/2014
• Est. Priority Date: 05/15/2006
• Status: Expired due to Fees

• Current Assignee: Amdocs Development Limited (Amdocs Ltd.), Amdocs Software Systems Limited (Amdocs Ltd.)
• Original Assignee: Amdocs Software Systems Limited (Amdocs Ltd.)
• Inventors: Noonan, Kevin Michael
• Primary Examiner(s): SORKOWITZ, DANIEL M
• Application Number:
  US11/492,325
• Time in Patent Office: 2,892 Days
• Field of Search: None
• US Class Current: 705/14.41
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

Abstract

A system, method and computer program product are included for correlating information. In particular, first information associated with an advertisement presented utilizing a first medium is identified. In addition, second information associated with user activity involving a second medium is received. In use, the first information and the second information are correlated for gauging an effect of the advertisement on the user activity involving the second medium.

Claims

1. A method, comprising:

identifying first information associated with an advertisement presented utilizing a first medium, wherein the first information includes a time at which the advertisement was presented, a duration of the advertisement, a price of the advertisement, and a number of users to which the advertisement was presented;

receiving second information associated with user activity involving a plurality of different second mediums;

correlating the first information and the second information for gauging an effect of the advertisement on the user activity involving the plurality of different second mediums, utilizing a processor, wherein the correlating includes identifying at least a portion of the second information that is associated with at least a portion of the user activity that took place during a time period relevant to the time at which the advertisement was presented; and

displaying data in a plurality of categories within a graphical user interface (GUI), where the data is determined from the correlating of the first information and the second information, and where the categories include a determined spike in site visits associated with the presentation of the advertisement, a determined spike in page views associated with the presentation of the advertisement, and a determined spike in email registrations associated with the presentation of the advertisement;

wherein the second information includes a plurality of elements including a number of visits to a site of an advertiser, a number of electronic mail newsletter and promotion registrations, a number of search queries, a number of search engine marketing queries, a number of purchases of good and/or services, and a number of telephone, email, and short message service (SMS) communications between consumers and representatives associated with the advertisement;

wherein the gauging includes calculating a score representative of the effect of the advertisement on the user activity involving the plurality of different second mediums, where the score is calculated utilizing a value assigned to each of the plurality of elements included in the second information, and where each value is weighted according to a predetermined importance of each corresponding element assigned by the advertiser;

wherein each category of the plurality of categories is displayed in association with a corresponding incremental life time value return on investment value, and each of the incremental life time value return on investment values is calculated by multiplying a life time value weight of the category by an average number of current data for the category and by a conversion rate.

2. The method of claim 1, wherein the first medium is of a different type than the second mediums.

3. The method of claim 1, wherein the first medium includes a television medium.

4. The method of claim 1, wherein the plurality of different second mediums include at least one of a web site, a search engine, and electronic mail.

5. The method of claim 1, wherein the score is calculated based on additional information associated with a previously presented advertisement.

6. The method of claim 1, wherein the second information is received automatically.

7. The method of claim 1, wherein the second information is requested and received in response to the request.

8. The method of claim 1, and further comprising displaying a plurality of the advertisements for selection.

11. The method of claim 1, wherein the user activity includes at least one of visiting a web site associated with the advertisement, purchasing a good associated with the advertisement, purchasing a service associated with the advertisement, and communicating with one of the representatives associated with the advertisement.

12. The method of claim 1, wherein the time period includes a predefined time period after the advertisement was presented utilizing the first medium.

13. The method of claim 1, wherein gauging the effect of the advertisement on the user activity involving the plurality of different second mediums includes quantifying an effectiveness the advertisement had on motivating consumers that viewed the advertisement to complete desired targeted actions across the plurality of different mediums, and the targeted actions include online activities and consumer purchases across the plurality of different mediums.

14. The method of claim 1, wherein the categories further include a determined spike in pay-per-click (PPC) search engine marketing (SEM) queries associated with the presentation of the advertisement, a determined spike in internal search queries associated with the presentation of the advertisement, a determined spike in performance based marketing (PBM) sign-ups associated with the presentation of the advertisement, a determined spike in online integrated promotions (OIP) registrations associated with the presentation of the advertisement, and a determined spike in time spent per visit associated with the presentation of the advertisement.

15. The method of claim 14, wherein the data displayed in each of the plurality of categories is displayed as an index value, where the index value is calculated for the data by dividing a value of the data for a current time period by a value for the data for a previous time period and multiplying the result by 100.

16. The method of claim 1, wherein each category of the plurality of categories is displayed in association with the life time value weight of the category, where the life time value weight for each category includes a value associated with an assigned importance of the category.

17. The method of claim 1, wherein the conversion rate for each category of the plurality of categories includes an expected conversion rate normally experienced by the advertiser when the conversion rate for the category is known, and the conversion rate for each category of the plurality of categories includes an industry average when the conversion rate for the category is not known;

wherein the life time value weight for each category of the plurality of categories is determined by the advertiser, and a total of all the life time value weights is equal to 1.0.

9. A computer program product embodied on a tangible computer readable medium, comprising:

computer code for identifying first information associated with an advertisement presented utilizing a first medium, wherein the first information includes a time at which the advertisement was presented, a duration of the advertisement, a price of the advertisement, and a number of users to which the advertisement was presented;

computer code for receiving second information associated with user activity involving a plurality of different second mediums;

computer code for correlating the first information and the second information for gauging an effect of the advertisement on the user activity involving the plurality of different second mediums, wherein the correlating includes identifying at least a portion of the second information that is associated with at least a portion of the user activity that took place during a time period relevant to the time at which the advertisement was presented; and

computer code for displaying data in a plurality of categories within a graphical user interface (GUI), where the data is determined from the correlating of the first information and the second information, and where the categories include a determined spike in site visits associated with the presentation of the advertisement, a determined spike in page views associated with the presentation of the advertisement, and a determined spike in email registrations associated with the presentation of the advertisement;

wherein the second information includes a plurality of elements including a number of visits to a site of an advertiser, a number of electronic mail newsletter and promotion registrations, a number of search queries, a number of search engine marketing queries, a number of purchases of good and/or services, and a number of telephone, email, and short message service (SMS) communications between consumers and representatives associated with the advertisement;

wherein the gauging includes calculating a score representative of the effect of the advertisement on the user activity involving the plurality of different second mediums, where the score is calculated utilizing a value assigned to each of the plurality of elements included in the second information, and where each value is weighted according to a predetermined importance of each corresponding element assigned by the advertiser;

wherein the computer program product is operable such that each category of the plurality of categories is displayed in association with a corresponding incremental life time value return on investment value, and each of the incremental life time value return on investment values is calculated by multiplying a life time value weight of the category by an average number of current data for the category and by a conversion rate.

10. A system including a tangible computer readable medium, comprising:

a computer executable module embodied on the tangible computer readable medium and in communication with advertisers and a media provider, the module for correlating;

first information associated with an advertisement presented by the media provider utilizing a first medium, wherein the first information includes a time at which the advertisement was presented, a duration of the advertisement, a price of the advertisement, and a number of users to which the advertisement was presented, and

second information received from an advertiser, the second information associated with user activity involving a plurality of different second mediums;

wherein the correlating is for gauging an effect of the advertisement on the user activity involving the plurality of different second mediums, and the correlating includes identifying at least a portion of the second information that is associated with at least a portion of the user activity that took place during a time period relevant to the time at which the advertisement was presented;

wherein the system is operable to display data in a plurality of categories within a graphical user interface (GUI), where the data is determined from the correlating of the first information and the second information, and where the categories include a determined spike in site visits associated with the presentation of the advertisement, a determined spike in page views associated with the presentation of the advertisement, and a determined spike in email registrations associated with the presentation of the advertisement;

wherein the second information includes a plurality of elements including a number of visits to a site of the advertiser, a number of electronic mail newsletter and promotion registrations, a number of search queries, a number of search engine marketing queries, a number of purchases of good and/or services, and a number of telephone, email, and short message service (SMS) communications between consumers and representatives associated with the advertisement;

wherein the gauging includes calculating a score representative of the effect of the advertisement on the user activity involving the plurality of different second mediums, where the score is calculated utilizing a value assigned to each of the plurality of elements included in the second information, and where each value is weighted according to a predetermined importance of each corresponding element assigned by the advertiser;

wherein the system is operable such that each category of the plurality of categories is displayed in association with a corresponding incremental life time value return on investment value, and each of the incremental life time value return on investment values is calculated by multiplying a life time value weight of the category by an average number of current data for the category and by a conversion rate.