Web Page Node Traffic Pattern Optimization
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Solution Overview
Problem
Websites face inefficiencies in their web page design, leading to reduced conversion rates due to flawed display elements that distract visitors from progressing through intended traffic patterns, resulting in lost opportunities for conversions.
Innovation Solution
A method is implemented to identify and rank web page nodes based on metrics that affect conversion rates, focusing on display elements that decrease progression to subsequent nodes, allowing for targeted modifications such as resizing or removing distracting elements to enhance visitor progression through the traffic pattern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If display elements are added to web pages to provide information or functionality, then user engagement and information delivery are improved, but conversion rates deteriorate due to distractions from the traffic pattern
Solution Approach 1:
The patent identifies and removes display elements that are determined to be distracting from the traffic pattern. By extracting harmful elements (ads, links to external sites, or any elements that divert users from the intended conversion path), the system maintains information delivery through essential elements while eliminating what reduces conversion rates.
Solution Approach 2:
The patent applies different treatments to different display elements based on their specific characteristics and impact. Not all display elements are treated uniformly - the system analyzes each element's effect on traffic pattern progression and applies localized modifications or removals only to those elements that negatively impact conversion, while preserving beneficial elements.
2Productivity
If web pages are optimized for conversion by removing distracting elements, then conversion rates are improved, but user engagement and information availability deteriorate
Solution Approach 1:
The patent employs feedback mechanisms by analyzing traffic pattern data and conversion metrics to determine which display elements are harmful. The system continuously monitors user behavior and conversion rates, using this feedback to identify and remove only the specific elements that negatively impact the traffic pattern, thereby maintaining conversion optimization without unnecessarily removing useful information.
Solution Approach 2:
The system makes differentiated decisions about individual display elements based on their specific impact analysis. Rather than removing all non-essential elements, the system selectively removes only those elements that have been identified as distracting from the traffic pattern, preserving elements that provide valuable information or functionality.
3Productivity
If display elements are modified to improve conversion, then progression through traffic pattern is improved, but website complexity and implementation difficulty increase
Solution Approach 1:
The patent implements a self-service approach where the system automatically identifies, analyzes, and removes distracting display elements without requiring manual intervention or complex custom implementations. The automated detection and removal process simplifies the implementation complexity while still achieving the goal of improved traffic pattern progression.
Solution Approach 2:
The patent segments the web page into individual display elements that can be independently analyzed and processed. This segmentation allows the system to target specific elements for removal or modification without affecting the entire website structure, thereby reducing implementation complexity while achieving conversion optimization.
Data Source
AI summary
A method of improving a traffic pattern through web page nodes of a website is provided, including selecting web page nodes. The traffic pattern includes a sequence of nodes. Each node represents a first page having a link to a second page in a subsequent node. A visitor to a node prior to a conversion node either navigates to a subsequent node or fails to progress to a subsequent node. The method also includes, for each web page, identifying display elements on the web page node that are associated with a decreased probability that the user progresses through the traffic pattern to a subsequent web page node in the predetermined traffic pattern, determining a metric representing an impact on a conversion attributable to the display elements, ranking the plurality of web page nodes based on the metrics for each web page node.