Dynamic Splash Page Optimization Engine
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Solution Overview
Problem
Current online marketing campaigns lack effective methods to optimize post-click conversions for splash pages, as existing systems rely on manual and time-consuming processes for analyzing and configuring advertisement allocations, leading to delayed and suboptimal performance optimization.
Innovation Solution
An automated system and method that uses an Optimization Engine to dynamically select splash page attributes and allocate resources based on real-time performance data and predetermined rules, optimizing splash page performance across various dimensions, including user-specific web-browsing profiles and time-sensitive changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual analysis of performance data is used, then flexibility in configuration is maintained, but time delay and productivity are reduced
Solution Approach 1:
The system performs self-optimization by automatically analyzing performance data and adjusting splash page configurations without human intervention. The optimization engine continuously monitors conversion rates and automatically reallocates traffic to performant splash pages, enabling the system to serve itself rather than requiring manual analysis and configuration by operators.
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring performance metrics (conversion rates, bounce rates) and using this information to automatically adjust splash page allocations. Performance data flows back to the optimization engine which modifies configurations in real-time, creating a self-correcting system that adapts to changing user behavior without manual intervention.
2Productivity
If automated optimization is implemented, then productivity improves, but measurement and detection difficulty increases
Solution Approach 1:
The system segments performance measurement by tracking individual splash page attributes and configurations separately. Each splash page variant is monitored independently for conversion rates and other performance metrics, allowing the optimization engine to identify which specific attributes drive performance. This segmentation enables precise measurement and targeted optimization without overwhelming complexity.
Solution Approach 2:
The system replaces manual mechanical analysis processes with automated computational algorithms. Instead of human analysts manually processing performance data, the optimization engine uses computational methods to analyze conversion rates, correlate them with splash page attributes, and generate optimization recommendations automatically, substituting mechanical manual work with automated digital processing.
3Loss of time
If manual configuration adjustment is used, then control over allocations is maintained, but time delay increases
Solution Approach 1:
The system performs preliminary optimization actions by pre-configuring multiple splash page variants with different attributes before traffic arrives. The optimization engine prepares allocation strategies in advance based on predicted performance, and automatically implements adjustments as traffic flows, eliminating delays associated with manual analysis and configuration changes after performance data accumulates.
Solution Approach 2:
The system transitions from static manual configuration to dynamic automated optimization. The splash page allocations continuously adapt in real-time based on live performance data, allowing the system to respond immediately to changing user behavior, seasonal variations, and emerging trends without the time delays inherent in manual configuration processes.
Data Source
AI summary
System, method, computer program and computer program improve performance of messaging campaigns particularly of Internet web splash pages. Executing, improving, and desirably optimizing performance of marketing campaigns in which splash pages or other splash pages are shown to visitors on a web site. System and method provide an automated splash page targeting and allocation scheme that is dynamic and adaptive. System for autonomously selecting attributes of a splash page to improve splash page performance in an interactive measurable medium such as the Internet if such attributes are available, includes means for receiving splash page attribute configuration information and splash page performance information, an optimization engine receiving the splash page performance information and making decisions based on received splash page performance information and predetermined rules to generate future splash page attribute configuration information, and a splash page server to deliver splash pages based on future splash page attribute configuration information.


