Targeted Content Management via Multi-Source Experimentation
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Solution Overview
Problem
Organizations face inefficiencies when outsourcing targeting services to a single third party, as they can only utilize recommendations from that party, limiting the diversity of customer experiences and insights.
Innovation Solution
A system and method for managing alternative targeted experimental content, which involves receiving a query for targeted content, retrieving experimental targeted content identifiers from a third-party experimentation platform, and displaying this content to customers, while monitoring responses and persisting associations to optimize customer interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If only one third party is used to provide targeted recommendations, then customer experience uniformity is maintained, but content diversity and efficiency are reduced
Solution Approach 1:
The patent segments the targeted content delivery system by introducing multiple third-party experimentation platforms alongside a primary provider. Each platform operates as an independent segment that can provide alternative targeted content, allowing the system to divide the customer population into different groups and serve them with content from different sources based on experimental parameters.
Solution Approach 2:
The system dynamically selects which third-party platform's content to display based on experimental content indicators and real-time performance metrics. The allocation of traffic to different third parties is not static but can be adjusted through A/B testing and performance monitoring, allowing the system to adapt content delivery strategies based on measured outcomes.
2Productivity
If multiple third parties are used for targeted content, then content diversity increases, but system complexity and management difficulty increase
Solution Approach 1:
The patent introduces an intermediary layer (the experimentation platform and content management system) that mediates between multiple third-party content providers and the customer-facing application. This intermediary handles the complexity of managing multiple sources by providing a unified interface for selecting, testing, and deploying targeted content from different providers based on experimental parameters.
Solution Approach 2:
The system uses parameter changes to manage multiple third parties by varying experimental content indicators, traffic allocation percentages, and selection criteria. These parameters can be adjusted to optimize performance without requiring fundamental system restructuring, allowing flexible management of multiple content sources through configuration rather than architectural complexity.
3Measurement precision
If experimental content is tested with customer populations, then content effectiveness is optimized, but data processing and monitoring requirements increase
Solution Approach 1:
The patent implements feedback loops where customer responses to targeted content are monitored, measured, and fed back into the system to adjust future content selection and experimental parameters. This feedback mechanism enables continuous optimization of content effectiveness by learning from actual customer interactions and performance data across different third-party providers.
Data Source
AI summary
Systems and methods for managing alternative targeted experimental content are disclosed. A method for managing alternative advertisements may include an offer experience service computer program executed by an electronic device: (1) receiving a query for targeted content to display to a customer on a customer electronic device and an experimental content indicator; (2) based on the experimental content indicator, retrieving an experimental targeted content identifier for the customer from a third-party experimentation platform, wherein the experimental targeted content identifier identifies a variant of targeted content; (3) retrieving experimental targeted content associated with the experimental targeted content identifier from an experimental targeted content database; (4) generating a response to the query for targeted content comprising the experimental targeted content; and (5) returning the response to the customer electronic device. The customer electronic device displays the response including the experimental targeted content.