Dynamic Campaign Configuration Switching for Shifting User Preferences

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Solution Overview

Problem

Conventional methods of testing landing page configurations assume a single optimal configuration for an advertising campaign, failing to account for shifting user preferences and neglecting the potential resurgence of previously underperforming configurations.

Innovation Solution

A dynamic campaign optimization system that continuously tests multiple configurations, allowing previously underperforming configurations to be re-evaluated, and adjusts weights based on user cohort performance and statistical significance, using algorithms like UCB1 and EXP3 to optimize campaign configurations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional A/B testing methods are used to test landing page configurations, then conversion rates can be measured and compared, but the system fails to account for shifting user preferences and cannot identify unexpectedly successful configurations that were previously underperforming

Engineering Contradiction:

Improveadaptability to shifting user preferencesVSAvoidcomplexity of testing framework

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic configuration selection where the system continuously adjusts which configuration is presented to users based on real-time performance data and user characteristics. Instead of static A/B testing with fixed groups, the system dynamically reassigns users to different configurations based on current performance metrics, allowing it to adapt to changing user preferences while maintaining a manageable testing framework through algorithmic automation.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system performs self-optimization by automatically identifying unexpectedly successful configurations and reallocating traffic to them without requiring manual intervention. The framework autonomously monitors performance metrics, detects configurations that outperform expectations, and adjusts configuration assignment accordingly, enabling the system to adapt to shifting user preferences while keeping operational complexity low through automated decision-making.

Inventive Principle:

Principle #25Self-service

2Productivity

If the system continuously tests multiple configurations and dynamically adjusts weights, then it can identify unexpectedly successful configurations and improve conversion rates, but this increases the complexity of the campaign management system

Engineering Contradiction:

Improveconversion rate optimizationVSAvoidcomplexity of weight adjustment algorithms

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system implements continuous feedback loops where performance metrics from user interactions with different configurations are collected, analyzed, and used to adjust configuration weights. This feedback mechanism allows the system to identify unexpectedly successful configurations and automatically increase their weight, improving conversion rates while managing complexity through systematic, rule-based adjustments rather than ad-hoc changes.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent changes the parameter of configuration weights dynamically based on performance data. Instead of testing configurations in fixed pairs, the system adjusts the weight or probability of presenting each configuration to users based on real-time performance metrics. This parameter change approach enables continuous optimization of conversion rates while maintaining algorithmic simplicity through focused adjustment of a single key parameter (configuration weight).

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If the system selects configurations based on user cohort information and statistical significance, then measurement precision of configuration performance is improved, but the difficulty of detecting and measuring configuration success increases

Engineering Contradiction:

Improveprecision of configuration performance measurementVSAvoiddifficulty of statistical analysis

Core Design Contradiction:

Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The system segments users into cohorts based on shared characteristics and tests configurations within each cohort separately. This segmentation allows for more precise measurement of configuration performance for specific user groups while reducing the statistical complexity by analyzing smaller, more homogeneous subsets rather than attempting to analyze all users simultaneously. The segmentation approach improves measurement precision by controlling for cohort-specific variables while keeping statistical analysis manageable.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12555135B2Automated campaign configuration switching framework

Publication Date: 2026.02.17 SYSTEM1 LLC

AI summary

Dynamic campaign optimization systems and methods may be used to continuously test many alternative campaign configurations while allowing all configurations, including configurations formerly identified as successful and unsuccessful, to be re-tested in order to identify successful configurations that may previously have been identified as unsuccessful.