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.

Abstract: A system is provided to serve advertisements to a website in a unique way that can reward all of: the user of the site, the advertiser, and the performer on the website. The system works by allowing the user to elect to view advertisements while watching other content on a website. The user is awarded points or credits based on viewing the advertisements. The points or credits can be later exchanged for goods or merchandise at a store provided on a separate website at a later time.