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 tool for finishing or smoothing-out an applied bead of adhesive medium material, such as caulking, at substantially the same time as the bead is laid is disclosed. The finishing tool can be an add-on to an existing adhesive-medium-applicator tool, or can be fabricated with the applicator tool such that the finishing tool and the dispensing end of the applicator tool are a unit. In many embodiments, the finishing tool has a flexibly rigid, angled blade-like member that trails the dispensing end of the applicator tool. The edges of the finishing tool pliably engage two surfaces on each side of a target jointed surface in order to both finish the bead of adhesive-medium material and to gather excess material and redistribute it to help reduce the waste of adhesive-medium material.