Abstract: In one embodiment, a promotional subsystem generates promotional plans that include promotionals, where each promotional targets one or more pieces of scheduled content. First, the promotional subsystem generates a statistical model based on historical respondent viewership data. The statistical model model maps a respondent viewing of a promotional that targets a piece of scheduled content to a probability of the respondent viewing the piece of scheduled content. Subsequently, the promotional subsystem generates a proposed promotional plan based on the statistical model, a schedule that includes the piece of scheduled content, and a risk tolerance. Advantageously, the promotional subsystem may be configured to generate different proposed promotional plans based on different risk tolerances associated with different viewership growth strategies.

Abstract: In one embodiment, a promotional subsystem generates promotional plans that include promotionals, where each promotional targets one or more pieces of scheduled content. First, the promotional subsystem generates a statistical model based on historical respondent viewership data. The statistical model model maps a respondent viewing of a promotional that targets a piece of scheduled content to a probability of the respondent viewing the piece of scheduled content. Subsequently, the promotional subsystem generates a proposed promotional plan based on the statistical model, a schedule that includes the piece of scheduled content, and a risk tolerance. Advantageously, the promotional subsystem may be configured to generate different proposed promotional plans based on different risk tolerances associated with different viewership growth strategies.

Abstract: An exemplary computer implemented method comprises receiving information from a guest, determining a guest strategy based on the information received from the guest, and generating a schedule for the guest visit based on the guest strategy. The schedule for the guest visit may include attendance at one or more experience areas. An exemplary computer system comprises a guest experience manager. The guest experience manager includes a guest interface capable of receiving a communication from a guest computer, where the communication from the guest computer provides guest information. The exemplary guest experience manager also includes at least one business rule for determining a guest strategy based at least in part on the guest information. The computer system also comprises a scheduling element in communication with the guest experience manager. The exemplary scheduling element is capable of scheduling at least on experience based on the guest strategy.

Abstract: An exemplary computer-implemented method comprises receiving a guest strategy, the guest strategy determined at least in part from information received from a guest. The exemplary method also includes determining available experiences based on the guest strategy, and geographically sequencing at least two of the available experiences based on the guest strategy. An exemplary computer system comprises a guest interface capable of receiving a guest strategy, where the guest strategy is determined at least in part from information received from the guest. The exemplary computer system also includes a scheduling element capable of receiving information from the guest interface, the information including at least the guest strategy. The exemplary scheduling element includes logic to determine available experiences based on the guest strategy. The exemplary scheduling element also includes logic to generate a geographic sequence of at least two of the available experiences.