User Journey Analysis via Session Segmentation
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Solution Overview
Problem
Current methods for studying user interactions with mobile advertising are inefficient and fail to provide an accurate and comprehensive representation of the user experience, losing valuable details that could guide and optimize user interactions.
Innovation Solution
A system that determines user journeys by calculating the average time spent on sessions, identifying a representative group of sessions within a statistical range, and analyzing these sessions to determine the most common path of events, which can be visually represented to depict user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advertisers browse through large numbers of sessions or study statistics of user choices, then they can obtain some information about user interactions, but the methods are inefficient and fail to provide accurate and comprehensive representation of user experience
Solution Approach 1:
The patent segments the large set of user sessions into multiple groups based on similarity metrics. By dividing the analysis into manageable segments rather than examining all sessions individually, the system achieves both comprehensive coverage and computational efficiency. Each segment is analyzed to extract representative user journeys, which are then aggregated to form the complete picture.
Solution Approach 2:
The patent creates simplified copies or representations of user sessions called 'user journeys' that capture the essential interaction patterns without requiring analysis of every detailed session. These user journey copies preserve the key behavioral information while reducing data complexity, enabling efficient analysis that maintains measurement precision.
2Productivity
If advertisers use statistical methods to analyze user choices at particular points, then they can obtain aggregated data, but valuable details of user interactions are lost in the numbers
Solution Approach 1:
The patent applies local quality by preserving detailed interaction information locally within each user journey representation while using statistical aggregation only where appropriate. Each user journey maintains the specific sequence of events and interactions, ensuring that valuable details are not lost in the aggregation process, while still enabling efficient overall analysis.
3Measurement precision
If the system analyzes all sessions to determine user journeys, then comprehensive user interaction data can be obtained, but the computational complexity and time required increase significantly
Solution Approach 1:
The patent performs preliminary actions by pre-processing sessions to identify and group similar interaction patterns before conducting the full user journey analysis. This preliminary segmentation reduces the computational burden of the main analysis while ensuring comprehensive coverage, as the grouping structure is established in advance to facilitate efficient processing.
Solution Approach 2:
The patent applies partial action by analyzing representative samples from each session segment rather than every single session in detail. By selecting representative user journeys from each segmented group, the system achieves comprehensive coverage of interaction patterns without the excessive computational cost of analyzing every session individually.
Data Source
AI summary
Systems, methods, and computer-readable storage media for determining user journeys during presentations of content. The system first determines an average time spent for sessions associated with a presentation of content. Next, the system identifies a representative group of sessions from the sessions by identifying each of the sessions having a respective time spent within a statistical range from the average time spent for the sessions. The system then determines a most common path of events from the representative group of sessions to yield a most common user journey associated with the presentation of content.