Layered Promotion Model for Scalable Audience Targeting
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Solution Overview
Problem
Existing brand promotion strategies, relying on direct engagement and influencer-based models, face limitations in scalability and precise audience targeting, leading to challenges in optimizing audience penetration and engagement.
Innovation Solution
A dynamic and layered promotion model that allows talents and brands to interact directly, leveraging a source layer based on talent-determined criteria, a nuclear network of peers, and an extended network of aligned influencers, enabling personalized and targeted promotion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If influencer-based marketing models are used to reach wider audiences, then audience reach is improved, but scalability and precise audience targeting deteriorate
Solution Approach 1:
The patent segments the promotion strategy into multiple layers: direct engagement with talent, influencer-based amplification, and peer network propagation. Each layer serves a specific function and can be independently optimized, allowing brands to scale by adding more layers rather than relying on a single monolithic influencer approach.
Solution Approach 2:
The patent introduces a multi-dimensional promotion framework that moves beyond the traditional single-dimensional influencer model. By adding dimensions of direct talent engagement, layered influencer networks, and peer-to-peer propagation, the system achieves both broad reach and precise targeting simultaneously.
2Reliability
If direct engagement strategies are used to establish brand presence, then brand presence is improved, but audience reach and scalability deteriorate
Solution Approach 1:
The patent introduces influencers and peer networks as intermediaries between the brand and the broader audience. These intermediaries amplify the brand's direct engagement efforts, extending reach while maintaining the authenticity and reliability of the core brand message established through direct talent engagement.
3Ease of manufacture
If traditional advertising methods are used, then simplicity of implementation is improved, but personalization and audience targeting deteriorate
Solution Approach 1:
The patent transforms static advertising into a dynamic, multi-layered promotion ecosystem where messages are adapted and propagated through different channels (direct engagement, influencers, peer networks) based on audience characteristics. This dynamic approach maintains implementation simplicity while dramatically improving personalization and targeting precision.
Data Source
AI summary
A method for dynamic and layered promotion involves utilizing a layered promotion model system having a seller device, a buyer device, a peer device, and a system server. The seller device provides a zero party dataset representing values of the seller and a nomination dataset representing a proposed nuclear network. The system server receives these datasets and creates a zero layer dataset and a first layer dataset therefrom. The at least one system server then analyzes these datasets to derive search criteria and value lists. Based on these criteria, the at least one system server selects accepted peers from the first layer dataset. An authorized programmatic product is created using the selected peers, and which represents a packaged audience reach. The seller can customize the terms of communication in the authorized programmatic product. The buyer can place an order for the authorized programmatic product, limited by the specified communication terms.