Dynamic Ad Template Selection for User Engagement
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Solution Overview
Problem
Advertisers face challenges in creating targeted digital advertisements that effectively engage consumers, as consumers are inundated with ads, making it difficult for advertisements to stand out and be engaging.
Innovation Solution
An ad server system dynamically generates advertisements by selecting content items and templates based on user profiles, device profiles, environmental factors, and machine learning models, optimizing ad placement to increase user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If generic print advertising is used, then advertisers can easily create advertisements, but consumers are not engaged and advertisements do not stand out
Solution Approach 1:
The system dynamically generates advertisements by selecting from multiple content items and templates based on real-time user profiles, device profiles, environmental factors, and machine learning models. This dynamic approach allows the same ad infrastructure to produce highly targeted and engaging ads for different users without requiring manual creation for each scenario, resolving the contradiction between ease of creation and targeting capability.
Solution Approach 2:
The system changes multiple parameters including content item selection, template choice, ad placement position, and creative elements based on user profiles, device characteristics, and environmental conditions. By systematically varying these parameters, the system achieves high adaptability and targeting capability while maintaining ease of use through automated parameter selection rather than manual ad creation for each scenario.
2Adaptability or versatility
If multiple targeted advertisements are created for different consumers, then user engagement increases, but advertisers have more difficulty developing targeted ads for the wide variety of consumers
Solution Approach 1:
The system segments the ad creation process into separate modular components: content items, templates, placement positions, and creative elements. Each component can be independently selected and combined through automated logic based on user and device profiles. This segmentation reduces the complexity of creating targeted ads by breaking down the creation process into manageable, automated selections rather than requiring complex manual design for each consumer segment.
Solution Approach 2:
The system performs self-service by automatically selecting content items, templates, and placement positions based on machine learning models that analyze user profiles, device profiles, and environmental factors. The ad generation process requires minimal human input from advertisers while the system autonomously creates targeted advertisements, thereby increasing targeting capability without proportionally increasing ad creation complexity.
3Adaptability or versatility
If advertisements are made more targeted and engaging, then user engagement probability increases, but consumers are more inundated with advertisements
Solution Approach 1:
The system applies local quality by tailoring specific ad elements (content items, templates, placement positions) to match individual user characteristics, device profiles, and environmental conditions. Each advertisement is locally optimized for the specific user context rather than being a generic ad, thereby increasing engagement probability while the targeted nature ensures relevance that can reduce perceived inundation by filtering out irrelevant ads.
Data Source
AI summary
Described are systems and methods for dynamically generating advertisements for presentation in an application executing on a user device, such as an application executing on a smart phone or tablet of a user. An ad server system provides various ad templates, each of which include one or more tokens at different locations within the ad templates. The same token may be included in multiple different ad templates at the same of different locations. Based on user profile and/or conditions at the time of ad presentation, an appropriate template is selected and used to dynamically generate the ad.