Journey Manager for Real-Time Audience Segmentation
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Solution Overview
Problem
Manual analysis of workflow performance is time-consuming and inaccurate, leading to stale data and ineffective modifications, as it requires iterative review and reassessment, making it inefficient for marketers to tailor workflows to audience members.
Innovation Solution
Implementing real-time monitoring and machine learning to identify audience segments and provide insights and suggestions for journey modifications, such as channel, content, and timing adjustments, enabling goal-driven segmentation and intervention suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of workflow performance is used, then users can review and analyze performance data, but the process is time-consuming and results in stale data
Solution Approach 1:
The system automatically monitors journey performance and generates insights without requiring manual user analysis. The journey manager self-evaluates workflow performance by processing event data and generating audience segmentations, eliminating the need for users to manually review performance data while maintaining continuous real-time monitoring.
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational systems. The journey manager uses algorithms to automatically process event data, segment audiences, and generate performance insights, substituting human manual analysis with automated machine-based processing that operates continuously without time delay.
2Reliability
If manual iterative analysis is performed, then users can identify modifications, but the data becomes stale before modifications are made
Solution Approach 1:
The system continuously monitors journey performance and provides real-time feedback about audience segments and workflow effectiveness. This automated feedback loop enables users to see current performance data immediately and make modifications based on up-to-date information, ensuring that workflow changes are based on current rather than stale data.
Solution Approach 2:
The journey manager proactively identifies performance issues and generates recommendations before users need to make modifications. By continuously analyzing event data and segmenting audiences in advance, the system prepares actionable insights that can be immediately implemented, eliminating delays associated with iterative manual review.
3Productivity
If real-time monitoring is implemented, then journey performance can be monitored continuously, but the system complexity increases
Solution Approach 1:
The journey manager serves multiple functions within a single integrated system: it monitors event data, segments audiences, analyzes performance, generates insights, and provides recommendations. By consolidating these functions into one unified component rather than separate systems, the patent reduces overall system complexity while maintaining real-time monitoring capabilities.
Solution Approach 2:
The patent combines data processing, audience segmentation, performance analysis, and insight generation into a single integrated journey manager system. This merging of previously separate functions into one unified component simplifies the overall system architecture while enabling continuous real-time monitoring and optimization.
4Loss of time
If automated real-time monitoring is used, then insights can be provided quickly, but the initial system setup and data processing requirements increase
Solution Approach 1:
The journey manager continuously processes event data in real-time as journeys unfold, maintaining constant monitoring and analysis. This continuous processing approach ensures that insights are always current and can be provided immediately when needed, eliminating delays associated with batch processing while managing data volume through ongoing stream processing rather than large initial datasets.
Data Source
AI summary
Methods and systems are provided for generating and providing insights associated with a journey. In embodiments described herein, journey data associated with a journey is obtained. A journey can include journey paths indicating workflows through which audience members can traverse. The journey data can include audience member attributes (e.g., demographics) and labels indicating journey paths traversed by audience members. A set of audience segments are determined that describe a set of audience members traversing a particular journey path. The set of audience segments can be determined using the journey data to train a segmentation model and, thereafter, analyzing the segmentation model to identify patterns that indicate audience segments associated with the particular journey path. An indication of the set of audience segments that describe the set of audience members traversing the particular journey path can be provided for display.