Audience Proposal Creation and Spot Scheduling
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Solution Overview
Problem
Current systems for creating linear media plans and scheduling linear media advertisement spots are iterative, time-consuming, and prone to errors, failing to honor all constraints and requirements, particularly in distributing units across multiple networks and targeting smaller audience segments.
Innovation Solution
A method and system for audience proposal creation and spot scheduling utilizing a framework for audience rating estimation, which includes an audience proposal creator and processor to determine target and demo audience rating estimates, generate distribution of audience spots across networks, and schedule spots based on budget, rates, and available inventory, while satisfying constraints such as CPM reduction goals and demographics caps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If current iterative manual methods are used for creating linear media plans and scheduling advertisement spots, then flexibility in handling individual cases is maintained, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system performs self-service by automatically receiving advertiser orders with constraints, estimating audience ratings using frameworks, generating distributions across networks, and scheduling spots without manual intervention. The computer-implemented system autonomously completes the entire media plan creation and spot scheduling process, eliminating the need for iterative manual methods while maintaining flexibility to handle individual advertiser requirements.
2Productivity
If automated systems use simple first-come-first-served filling of commercial breaks, then processing speed increases, but the system fails to honor all constraints and requirements
Solution Approach 1:
The system performs preliminary actions by receiving and analyzing the complete advertiser order with all constraints and requirements before generating any spot assignments. The audience rating estimation framework and distribution generation occur in advance, ensuring all constraints are incorporated into the optimization algorithm before spot scheduling begins, thus maintaining both speed and reliability.
Solution Approach 2:
The system changes parameters by using audience rating estimation frameworks that incorporate multiple variables (demographics, program attributes, time attributes) to dynamically adjust spot distribution decisions. The optimization algorithm modifies distribution parameters across networks and time periods to satisfy all advertiser constraints while maximizing productivity through automated processing.
3Adaptability or versatility
If manual iterative methods are used for distributing units across multiple networks, then individual network requirements can be carefully considered, but the process remains limited to single-network planning
Solution Approach 1:
The system achieves universality by designing a multi-functional platform that can handle spot scheduling across multiple networks simultaneously while accommodating individual network-specific constraints and requirements. The audience rating estimation framework and distribution optimization algorithm are network-agnostic, allowing the same system to serve multiple networks with different characteristics, thus eliminating the single-network limitation while maintaining adaptability.
4Adaptability or versatility
If traditional methods are used for targeting audience segments, then broader demographic groups are targeted, but smaller, more specific audience segments cannot be effectively targeted
Solution Approach 1:
The system changes the measurement parameters by using audience rating estimation frameworks that incorporate granular demographic, geographic, and behavioral variables. This enables precise measurement and targeting of smaller, more specific audience segments while maintaining statistical accuracy through the framework's ability to process and analyze multiple data dimensions simultaneously.
Data Source
AI summary
An audience proposal creator determines a target cost per thousand (CPM) baseline and a demographics CPM baseline for a deal offering audience spots, determines deal constraints based on a target CPM reduction goal, a demographics CPM cap, and the established parameters, and generates rates by selling title for each selling title-weeks for a duration of pending deal, and for each network of a plurality of networks based on the constraints. Target and demo audience rating estimates are acquired based on the target and demo applicable to the advertiser for the plurality of networks, and a distribution of the audience spots generated across the plurality of selling title-weeks, and networks based on the target audience rating estimates, a budget for the pending deal, the generated rates, and available inventory per selling title-weeks, and a proposal generated based on the distribution. An audience processor schedules audience spots across one or more networks for selling title-weeks based on the distribution.