Automated Targeting Template Generation for Ad Campaigns
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Solution Overview
Problem
Content providers face a tedious and time-consuming process when translating their ideal target users into targeting criteria supported by content delivery systems, leading to a significant drop-out rate at the targeting stage of campaign creation and limited reach of the target audience.
Innovation Solution
Automatically generating targeting templates by clustering sets of targeting criteria from multiple content providers and analyzing user attributes to create relevant targeting templates, allowing content providers to easily set up content delivery campaigns without manually selecting attribute values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content providers manually translate their ideal target users into targeting criteria supported by content delivery systems, then they can achieve precise targeting control, but the process becomes tedious and time-consuming
Solution Approach 1:
The system pre-generates targeting templates by analyzing historical campaign data and user attributes before content providers need to create campaigns. These templates are ready in advance, allowing providers to select rather than manually create targeting criteria, thus reducing time loss while maintaining precision.
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between content providers' ideal target user descriptions and the content delivery system's required targeting criteria format. This intermediary automatically translates and matches the descriptions to supported criteria, eliminating the tedious manual translation process while preserving targeting precision.
2Adaptability or versatility
If content providers spend time learning and understanding each new content delivery platform's targeting capabilities, then they can utilize the full targeting capabilities, but the ramp-up process becomes complex and causes significant drop-out rate
Solution Approach 1:
The patent creates a universal targeting template system that works across multiple content delivery platforms. By analyzing and identifying common targeting capabilities across platforms, the system generates templates that are broadly applicable, reducing the need for platform-specific learning while maintaining adaptability to each platform's features.
Solution Approach 2:
The system enables self-service by automatically generating and providing relevant targeting templates to content providers without requiring them to manually learn or configure platform-specific targeting capabilities. The templates are adaptively selected based on the provider's needs and the target platform, eliminating the learning curve while maintaining versatility.
3Ease of operation
If content providers use simplified targeting methods, then the campaign creation process becomes easier and faster, but they reach only a small subset of the target audience available on the platform
Solution Approach 1:
The system pre-processes and analyzes user attribute data to identify and prepare comprehensive targeting templates that encompass the full available audience. By performing this analysis in advance, the system ensures that when providers select templates, they automatically access the maximum possible audience without needing to manually expand their targeting, thus maintaining ease of operation while maximizing audience reach.
Data Source
AI summary
Techniques for automatically generating targeting templates are provided. In one technique, multiple sets of targeting criteria provided by different content providers are identified. Based on the multiple sets of targeting criteria, multiple clusters of sets of targeting criteria are created. For each cluster, a targeting template is generated based on a set of targeting criteria that belong to that cluster. In another technique, multiple users are identified and for each user, a set of attribute-value pairs of that user is identified and added to a plurality of attribute-value pairs. Based on the plurality of attribute-value pairs, a targeting template that specifies targeting criteria is generated and presented for selection.