Website Building System Analyzing Structural Attributes for Advertising
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current website development and advertising technologies fail to effectively integrate native website data for personalized content generation and advertising optimization, neglecting structural attributes and user behavior, leading to suboptimal promotional efforts.
Innovation Solution
A website building system that analyzes structural attributes and recommends improvements by utilizing artificial intelligence to enhance website design and advertising strategies, integrating with external advertising platforms for targeted and customized content creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If promotional content is generated using publicly accessible data only, then advertising platforms can operate with simple data access, but the promotional content lacks relevance and personalization to the website being promoted
Solution Approach 1:
The patent introduces an intermediary component that bridges the website building system and advertising platforms. This intermediary translates and transmits native website data (structural attributes, content, performance metrics) to advertising platforms, enabling personalized ad generation without requiring direct complex integration between the website system and ad platforms. The intermediary acts as a data gateway that preserves relevance while managing system complexity.
Solution Approach 2:
The patent creates a universal data transmission framework that can work across multiple advertising platforms and website types. The system extracts native website data in a standardized format that can be universally applied to generate promotional content for different website verticals (e-commerce, services, information sites) on various advertising platforms, reducing the need for platform-specific customizations.
2Measurement precision
If advertising campaigns are managed without native website data, then campaign setup is simpler and faster, but campaign performance and targeting precision deteriorate
Solution Approach 1:
The patent implements preliminary action by automatically extracting and preparing native website data (structural attributes, content, performance metrics) during the website building and hosting process. This data is pre-processed and made available before advertising campaign launch, eliminating the need for manual data collection during campaign setup. The system proactively gathers all necessary website information in advance, reducing campaign setup time while ensuring high measurement precision.
Solution Approach 2:
The patent establishes a feedback loop where campaign performance data from advertising platforms is continuously transmitted back to the website building system. This feedback enables real-time optimization of both the website and advertising campaigns by comparing actual performance against targets. The system uses this feedback to automatically adjust campaign parameters and website elements, improving measurement precision while reducing the time needed for manual optimization.
3Productivity
If website structural attributes are not considered in promotional content, then content generation is faster and easier, but promotional effectiveness and relevance to the website deteriorate
Solution Approach 1:
The patent implements self-service by enabling the website itself to generate its own promotional content automatically. The system extracts native website data (structural attributes, content, performance metrics) and uses this information to autonomously create personalized promotional content for advertising platforms. This eliminates the need for manual content creation while ensuring the content is highly relevant to the specific website, improving both productivity and reliability simultaneously.
Solution Approach 2:
The patent dynamically changes content parameters based on native website data. The system adjusts promotional content parameters (targeting criteria, ad format, messaging) according to the specific structural attributes and performance characteristics of each website. This automated parameter optimization ensures high promotional effectiveness while maintaining fast generation speeds through algorithmic content creation rather than manual design.
Data Source
AI summary
Disclosed embodiments relate to analyzing and recommending improvements for structural attributes of websites. Techniques may include hosting a first website, the first website being built based on at least a subset of the plurality of website building elements and a subset of the plurality of website design rules; identifying a plurality of structural attributes of the first website; identifying a vertical or template associated with the first website; and developing a recommended change to the first website based on the plurality of structural attributes of the first website and the vertical or template associated with the first website.