Targeted marketing system and method

• US 7,337,127 B1
• Filed: 08/24/2000
• Issued: 02/26/2008
• Est. Priority Date: 08/24/2000
• Status: Expired due to Term

• Current Assignee: FaceCake Marketing Technologies, Inc.
• Original Assignee: FaceCake Marketing Technologies, Inc.
• Inventors: Lu, Darren D., Smith, Linda M.
• Primary Examiner(s): Janvier; Jean D.
• Application Number:
  US09/645,292
• Time in Patent Office: 2,742 Days
• Field of Search: 705/14, 705/26, 705/27, 709/217, 382/162, 382/167, 345/592, 434/100
• US Class Current: 705/14.66
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

A computer-implemented method for targeting marketing content to an online user, includes the steps of collecting data describing the user in a user profile, comparing the user profile with a target profile and presenting the user with content based on the comparison. The user profile includes a photographic likeness of the user, as well as information derived from the user'"'"'s photographic likeness. Certain content may be dynamically created for the user based on the user profile and may include the photographic likeness of the user, which may be altered to incorporate a portion of the content into the photographic likeness. In this manner, personalized advertisements for cosmetics, jewelry, clothing and other items may be created. The user profile also includes data describing the user'"'"'s browsing habits and responses to context-specific survey questions. In one embodiment, metrics are assigned to the user profile data, and a data index identifying the user'"'"'s preferences and purchasing habits is calculated for the user based on the assigned metrics. Each metric may also have an associated confidence factor, which causes the metric value to decay over time.

Claims

1. A method for targeting marketing content to a user, each targeted content having an associated target profile defined by market segmentation variables, comprising the steps of:

collecting data elements describing the user in a user profile, the data elements include a photographic likeness of the user;

assigning metrics to the data elements in the user profile, the data elements include confidence factors that decay over time;

using the assigned metrics, creating data indices corresponding to the market segmentation variables, wherein the data indices identify user'"'"'s preferences or purchasing habits with respect to the market segmentation variables;

comparing the data indices to the market segmentation variables of the target profile associated with each content to select content that best matches the data indices;

altering the photographic likeness of the user to incorporate the selected content into the photographic likeness of the user; and

presenting the user with the altered photographic likeness of the user.

2. The computer-implemented method of claim 1 wherein the step of assigning metrics includes assigning metrics to information derived from the user'"'"'s photographic likeness.

3. The computer-implemented method of claim 1 wherein the photographic likeness is altered to simulate the application of cosmetics on the photographic likeness.

4. The computer-implemented method of claim 1 wherein the photographic likeness is altered to simulate the wearing of clothing.