Media Buy Loader for Advertising Campaign Visualization
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Solution Overview
Problem
Current customer relationship management (CRM) systems and client management systems lack efficient tools for recording and visualizing data related to advertising campaigns, particularly in terms of cost and time-based analytics, which hinders effective decision-making and resource allocation.
Innovation Solution
A system comprising a server with a database and a media buy loader that records and converts advertising campaign data into ad time slot data, generating graphical user interfaces to visually illustrate cost versus time of day, enabling better data-driven decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If CRM systems store detailed advertising campaign data, then data completeness is improved, but data usability for visual analysis deteriorates
Solution Approach 1:
The patent introduces a media buy loader as an intermediary component that sits between the raw advertising campaign data storage and the visual analysis needs. This loader processes, converts, and structures the data into formats suitable for graphical display, acting as a mediator that transforms unusable data into visually analyzable information without requiring changes to the underlying CRM system.
Solution Approach 2:
The system applies parameter changes by transforming advertising campaign data from its original storage format into multiple derived parameters including time slot data, cost per time slot, and aggregated metrics. These transformed parameters are specifically optimized for visual representation in graphs and charts, enabling effective analytical display of the stored data.
2Measurement precision
If advertising campaign data is stored in detailed format, then measurement precision is improved, but information accessibility deteriorates
Solution Approach 1:
The patent segments advertising campaign data into distinct analytical components including time slot data, cost metrics, and performance indicators. By dividing the comprehensive data set into these manageable segments, the system preserves the precision of original measurements while making the information accessible and understandable through targeted visualizations for different analytical purposes.
3Device complexity
If manual data entry methods are used for advertising campaigns, then system complexity is reduced, but productivity deteriorates
Solution Approach 1:
The media buy loader implements self-service functionality by automatically processing, converting, and structuring advertising campaign data without requiring manual intervention for each data entry task. The system performs automated data transformation and preparation, significantly improving productivity while maintaining relatively simple system architecture through the use of standardized data processing routines.
Data Source
AI summary
A method includes recording data about an advertising campaign; converting the data about advertising campaigns into ad time slot data including a time range in which a broadcast program runs and average number of times the advertisements run during the time range; and selectively generating an output visually indicating cost of advertisements versus time of day, number of intakes versus time of day, and cost of the advertisements versus time of day. Other systems and methods are provided.