Landing Page Layout Optimization via Dynamic Template Selection

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Solution Overview

Problem

Businesses face inefficiencies in manually optimizing advertisement layouts on landing pages to maximize user reaction and revenue, as user responses vary significantly based on factors like advertisement type, user demographics, and time, making automated processes necessary for selecting effective displays.

Innovation Solution

A system comprising a Domains Template Management Server (DTMS) dynamically adjusts the layout of domain landing pages based on historical revenue data and user behavioral information, using a DTMS engine to select templates and configure advertisements for optimal user engagement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated processes are used to select effective displays, then productivity is improved, but device complexity increases

Engineering Contradiction:
Improvedisplay optimization efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system segments the display optimization process into distinct functional modules: a display generation module that creates multiple layout variations, an A/B testing module that conducts experiments, and an automated selection module that analyzes results. This segmentation allows each component to be independently optimized and managed, improving overall productivity while keeping individual module complexities manageable.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary automated system that acts as a mediator between display creation and performance evaluation. This intermediary automatically conducts A/B tests, collects user interaction data, analyzes results, and selects optimal displays without human intervention. The intermediary handles the complexity of coordinating multiple displays, tracking user behavior, and making selection decisions, thereby improving productivity while containing system complexity within the automated module.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of time

If manual monitoring is used to select appropriate displays, then device complexity is reduced, but loss of time increases

Engineering Contradiction:
Improvedisplay optimization timeVSAvoidsystem complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-generating multiple display variations and pre-configuring A/B testing frameworks before actual user interaction occurs. The automated system is pre-programmed with evaluation criteria and selection algorithms, enabling it to immediately begin monitoring and analyzing user behavior without manual setup. This preliminary preparation significantly reduces the time required for display optimization while the automated processes manage the complexity of continuous monitoring and analysis.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements continuous automated monitoring of user interactions with displays, ensuring that data collection and analysis occur without interruption. The system continuously tracks user behavior, automatically updates performance metrics, and maintains ready-to-select optimized displays. This continuous automated operation eliminates the time delays inherent in manual monitoring while the specialized automated module contains the complexity of persistent data collection and real-time analysis.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS8005715B2Domains template management system
Publication Date: 2011.08.23 ZETA GLOBAL CORP
  • US8005715B2 patent drawing
  • US8005715B2 patent drawing
  • US8005715B2 patent drawing

AI summary

According to some embodiments, systems, methods, and articles of manufacture are provided for a domains template management system. In some cases, a domain landing page may be presented to a plurality of users, and historical user action data associated with the landing page may be collected. A subsequent presentation of the landing page may then be dynamically adjusting based on the historical user action data.