US 2014/0236708 A1 · METHODS AND APPARATUS FOR A PREDICTIVE ADVERTISING ENGINE

Abstract

Methods and apparatus for a predictive advertising engine may determine a user's likelihood to purchase an advertised item. Methods and apparatus for a predictive advertising engine may retrieve data associated with an advertisement, a content, and a user. The retrieved data may be enhanced, segmented, and sent to predictive modeling software. The predictive modeling software may calculate a score indicating the user's likelihood to purchase the advertised item. The scores may be stored in a first database. The first database may be referenced by the predictive advertising engine to determine which advertisement to deliver to the user. The predictive advertising engine may present a commercial to the user upon user selection of the advertisement, may present a questionnaire to the user upon the user viewing the commercial or selecting the advertisement, and may record the user's answers and interactions to further refine the predictive model.

Claims21

Dependent claims

A method, implemented by a computer, having a processor and a memory accessible by the processor, for determining a user's likelihood to purchase an item, comprising:

retrieving, by the computer, a plurality of data, wherein the plurality of data comprises:
a first data associated with an advertisement;
a second data associated with a content;
and
a third data associated with the user;
enhancing, by the computer, the retrieved data into an enhanced dataset according to an external data;
applying, by the computer, descriptive statistics to the enhanced dataset to create a segmented dataset;
providing a first set of inputs to a predictive model according to the segmented dataset;
calculating a score with the predictive model, wherein the score corresponds to the user's likelihood to purchase the item;
and
storing, by the computer, the score in a first database.

8 more elements

A non-transitory computer-readable medium storing computer-executable instructions for determining a user's likelihood to purchase an item, wherein the instructions are configured to cause a computer to:

retrieve a plurality of data, wherein the plurality of data comprises:
a first data associated with an advertisement;
a second data associated with a content;
and
a third data associated with the user;
enhance the retrieved data into an enhanced dataset according to an external data;
apply descriptive statistics to the enhanced dataset to create a segmented dataset;
provide a first set of inputs to a predictive model according to the segmented dataset;
calculate a score with the predictive model, wherein the score corresponds to the user's likelihood to purchase the item;
and
store the score in a first database.

8 more elements

A computer system comprising a processor, and a memory responsive to the processor, wherein the memory stores instructions configured to cause the processor to:

retrieve a plurality of data, wherein the plurality of data comprises:
a first data associated with an advertisement;
a second data associated with a content;
and
a third data associated with the user;
enhance the retrieved data into an enhanced dataset according to an external data;
apply descriptive statistics to the enhanced dataset to create a segmented dataset;
provide a first set of inputs to a predictive model according to the segmented dataset;
calculate a score with the predictive model, wherein the score corresponds to the user's likelihood to purchase the item;
and
store the score in a first database.

8 more elements

Dependencies are inferred from the claim text.

Methods and apparatus for a predictive advertising engine

Life of this patent

Methods and apparatus for a predictive advertising engine

Life of this patent

Abstract

Claims21