Dynamic Affiliate Product Selection Platform

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Solution Overview

Problem

Merchants and promoters face challenges in efficiently determining and updating affiliate products on their websites or media platforms that align with their content, requiring significant time and resources to find relevant products and manage affiliate marketing campaigns effectively.

Innovation Solution

An automated affiliate marketing platform that dynamically selects and displays affiliate products based on intelligence sources and rules, allowing promoters to receive compensation for consumer click-throughs without manual intervention, utilizing a processor to determine and track product display and consumer interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual methods are used to determine and update affiliate products, then promoters can select relevant products for their websites, but significant time and resources are required to find and manage products effectively

Engineering Contradiction:

Improveaffiliate product selection efficiencyVSAvoidtime required to find and update products

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system enables automated affiliate product selection where the platform itself performs the product matching function. The processor automatically determines intelligence sources, selects relevant affiliate products based on promoter website content analysis, and updates product displays without manual intervention, allowing the system to serve itself in the product selection task.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processes of product research and selection with an automated computational system. The processor executes algorithms that analyze promoter website content, evaluate product relevance using defined intelligence sources, and automatically generate affiliate product recommendations, substituting human manual work with automated information processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If static affiliate links are provided to promoters, then implementation is simple, but the products do not dynamically align with promoter content or consumer interest

Engineering Contradiction:

Improveproduct relevance to promoter contentVSAvoidaffiliate marketing platform complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system transitions from static affiliate links to dynamic affiliate product selection. The processor continuously evaluates promoter website content, updates intelligence sources, and adjusts affiliate product recommendations in real-time based on changing content and consumer behavior patterns, making the affiliate marketing system adaptive rather than fixed.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback loops where consumer click-through data and engagement metrics are collected and fed back into the product selection algorithm. This feedback enables the processor to refine intelligence sources and adjust affiliate product recommendations based on actual performance data, improving relevance over time.

Inventive Principle:

Principle #23Feedback

3Productivity

If broad advertising is used to reach potential consumers, then coverage is extensive, but resources are wasted on consumers unlikely to be interested

Engineering Contradiction:

Improvemarketing campaign effectivenessVSAvoidresources spent on uninterested consumers

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The system applies local quality by tailoring affiliate product recommendations to specific promoter website contexts and individual consumer interests. Rather than uniform broad advertising, the processor analyzes specific website content, audience demographics, and consumer behavior to provide locally optimized product matches for each promoter-consumer interaction.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system dynamically changes parameters such as product selection criteria, intelligence source weights, and recommendation algorithms based on promoter website characteristics and consumer engagement data. This parameter adaptation enables precise targeting of interested consumers while filtering out uninterested ones, improving resource efficiency.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11295338B2Dynamic affiliate marketing platform

Publication Date: 2022.04.05 STRINGHAM MARK

AI summary

Systems, methods, and devices for affiliate marketing. A method of the disclosure includes receiving affiliate product data from a merchant account. The method includes determining intelligence sources for generating an affiliate product for a promoter account and determining rules for generating the affiliate product for the promoter account. The method includes determining the affiliate product for the promoter account based on the intelligence sources, the rules, and the affiliate product data from the merchant account. The method includes tracking consumer click-throughs on the affiliate product provided to the promoter account.