Conversion Rate Analysis via Multi-Path User Flow Segmentation
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Solution Overview
Problem
Existing methods for analyzing conversion rates and detecting bottlenecks in digital applications are inaccurate due to the complexity of user navigation and the consideration of only direct paths, ignoring alternative paths that may lead to conversion points.
Innovation Solution
A method and system that analyze user navigation by dividing the user journey into pairs of webpages and considering alternative paths to accurately calculate conversion rates and detect bottlenecks, thereby improving the accuracy of funnel and flow analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional funnel analysis methods are used to measure conversion rates, then the analysis process is simple and direct, but the measurement precision is low because alternative navigation paths are not considered
Solution Approach 1:
The patent segments the user journey into discrete flows between specific screens, analyzing each flow individually rather than treating the entire navigation path as a single funnel. This segmentation allows for precise tracking of users through alternative paths while maintaining manageable analysis complexity.
Solution Approach 2:
The patent adds a new dimension to conversion analysis by incorporating flow-based multi-path tracking alongside traditional funnel metrics. This dimensional expansion enables measurement of conversion rates across multiple navigation patterns simultaneously, improving accuracy without overwhelming complexity.
2Productivity
If manual analysis methods are used for funnels and flows, then the implementation is straightforward, but the productivity is low and accuracy is insufficient for complex digital applications
Solution Approach 1:
The system automatically collects navigation data from the digital application and performs flow analysis without requiring manual intervention. The automated data collection and processing mechanisms enable high productivity while the system self-manages the complexity of analyzing multiple user paths.
Solution Approach 2:
The patent replaces manual analysis methods with automated computational systems that use algorithms to track and analyze user flows. This substitution of mechanical manual processes with automated systems dramatically improves productivity while managing complexity through systematic computation.
3Loss of information
If direct path analysis is used in funnel methods, then the analysis is simple to implement, but it loses information about thousands of different flows users could take to reach conversion points
Solution Approach 1:
The patent creates a universal flow analysis framework that can detect and measure multiple types of user navigation patterns simultaneously. This multi-functional system handles direct paths, indirect paths, and alternative routes through a unified measurement approach, preventing information loss while managing detection complexity through standardized metrics.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, accessing user traffic data that is representative of navigation by a group of users between different screens of an application; and calculating a conversion rate for user traffic flowing between a pair of the screens consisting of a first screen and a second screen that are along a first path to a conversion point of the application, where the calculating is based on a first number of users that navigated to the first screen, a second number of users that navigated from the first screen to the second screen, and a third number of users that navigated from the first screen to one or more other screens that is different from the second screen, and where user traffic flowing from the first screen to the one or more other screens is along one or more alternative paths to the conversion point. Other embodiments are disclosed.